[go: up one dir, main page]

WO2018178468A1 - Method for the treatment of crops - Google Patents

Method for the treatment of crops Download PDF

Info

Publication number
WO2018178468A1
WO2018178468A1 PCT/ES2018/070251 ES2018070251W WO2018178468A1 WO 2018178468 A1 WO2018178468 A1 WO 2018178468A1 ES 2018070251 W ES2018070251 W ES 2018070251W WO 2018178468 A1 WO2018178468 A1 WO 2018178468A1
Authority
WO
WIPO (PCT)
Prior art keywords
data
recommendation
land
camera
slope
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/ES2018/070251
Other languages
Spanish (es)
French (fr)
Inventor
Carlos Ferraz Pueyo
Xavier Silva Garcia
Eduard Ethan CARRES HIDALGO
Jesus PAVON BENITO
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hemav Technology SL
Original Assignee
Hemav Technology SL
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Hemav Technology SL filed Critical Hemav Technology SL
Publication of WO2018178468A1 publication Critical patent/WO2018178468A1/en
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G06COMPUTING OR CALCULATING; COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02Agriculture; Fishing; Forestry; Mining
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01CPLANTING; SOWING; FERTILISING
    • A01C21/00Methods of fertilising, sowing or planting
    • A01C21/007Determining fertilization requirements
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01GHORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G25/00Watering gardens, fields, sports grounds or the like
    • A01G25/06Watering arrangements making use of perforated pipe-lines located in the soil
    • AHUMAN NECESSITIES
    • A01AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01GHORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G27/00Self-acting watering devices, e.g. for flower-pots

Definitions

  • the objective of the present invention is a crop treatment procedure. More specifically, the present invention provides the recommendation and guidance of applications and media management.
  • JPH1 1235124 uses a measurement in the visible spectrum to determine the chlorophyll in the crop and based on it give a subscriber recommendation.
  • the procedure disclosed in JPH1 1235124 is suitable for typical oriental rice crops, in which the land is flooded with water. However, according to the applicant's studies, it is excessively inaccurate for non-flooded crops. In particular, the document disclosed is not valid for non-homogeneous land. Due to the types of soil, textures, depths, orientations, water needs, sanitary problems, etc., the same plot or land to be cultivated has a variability that makes fertilizer recommendation systems based on chlorophyll development inappropriate. It is an objective of the present invention to disclose a method that does not have the aforementioned drawbacks.
  • the present invention discloses a method for the treatment of crops comprising the phases of:
  • an unmanned aerial vehicle equipped with a GPS and preferably a multispectral camera, through a crop field, taking, for various points, data with said camera, preferably multispectral data.
  • the process also comprises a phase of determining each crop point, each plant or each tree, as a single and independent unit.
  • the recommendation generated can also be made dependent, for example on meteorology, on the volumes and surfaces of vegetation and on non-aerial point data such as leaf or soil analytics, or probe data.
  • the agronomic index comprises a vegetative factor.
  • the cultivation recommendation comprises an order or recommendation for application of input, more preferably fertilizer.
  • the present invention solves the aforementioned problem by considering, for each point for which a recommendation for the application and / or management of crops (for example, a fertilization order), the slope of the land and the type of soil is generated for the generation of a fertilization order.
  • a recommendation for the application and / or management of crops for example, a fertilization order
  • the slope of the land and the type of soil is generated for the generation of a fertilization order.
  • fertilization orders generated in this way are more efficient.
  • the applicant has verified that the improvement is due to the fact that the slope and type of terrain influence the availability, assimilation and concentration of the fertilizer or fertilizer dosage.
  • the existence of a slope can cause a loss of fertilizers due to the influence of gravity, or drag of irrigation or rainwater.
  • the type of soil also influences the retention of the fertilizer or fertilizer supplied.
  • the present invention allows identifying the variability within the same crop plot and treating the crop based on said variability.
  • the aforementioned factors may preferably be combined by weighted overlap.
  • the method comprises the stage of taking altimetric terrain data from the unmanned aerial vehicle to determine the slope data.
  • altimetry data can be taken from a cartographic service.
  • in situ data collection is more accurate and beneficial for the final results.
  • the present invention also provides for the generation of irrigation orders.
  • the present invention also provides for the generation of orders for pruning, planting and even applications of plant protection products.
  • the present invention also comprises the phases of:
  • the irrigation dosing order also depends on the slope of the land at the point of calculation and on the type of terrain.
  • the dosage order may also depend on the meteorology, volumes and vegetation surfaces and non-aerial point data such as leaf or soil analytics, or probe data.
  • the vegetative factor, the slope of the terrain, the typology of the terrain and / or the data obtained by the thermal chamber are combined by weighted overlap.
  • the present invention has the advantage of being able to complement the on-site data collection by means of an unmanned vehicle through a remotely accessible platform. This provides numerous advantages, such as user interactivity.
  • the data is sent remotely to a remote platform to carry out determinations and generation of said orders.
  • the remote platform comprises a user interface for receiving feedback.
  • the platform automatically modifies values associated with the weighted overlay based on the aforementioned feedback.
  • the weighting of the different parameters must be done on a case-by-case basis.
  • the use of a remote access platform allows automatic implementation of learning algorithms that optimize the parameters based on experiences produced in different places.
  • the present invention provides that the dosage order of input (for example, fertilizer) depends on the data taken by the thermal chamber.
  • a lack of chlorophyll development can be caused by water stress in well-paid areas, especially in areas with a noticeable slope, which results in more difficult occurrence in low-lying areas that have to be runoff receivers.
  • the aforementioned recommendations and / or orders are sent to an automatic control device of a dispenser installed in an agricultural vehicle. More particularly, the present invention allows generating orders that can be directly integrated into tractor screens and new generation irrigation programs. The present invention can also be used with traditional irrigation systems. For this, the present invention provides for the generation of visual maps with recommendations and guidance of applications and crop management. These maps can be remotely accessible from tablets or mobile phones with GPS (from the "cloud” or “cloud”) that can be easily installed on tractors in car navigator mode.
  • the procedure object of the present invention allows the generation of maps and / or agronomic recommendations for decision making in the field. This allows the achievement of objectives such as increasing crop production, optimizing costs and increasing the quality of the resulting crops.
  • the adjustment of the recommendations and orientations of applications and crop management allows to reduce the contamination of soils and underground and surface waters, by reducing the use of nitrates.
  • Figure 1 shows an unmanned aerial vehicle (“drone”) usable in the process object of the present invention.
  • Figure 2 shows schematically a method object of the present invention.
  • Figure 1 shows an unmanned vehicle (“drone”) -1 - with which the data collection phases of an example procedure according to the present invention can be carried out.
  • Drone -1 - in the example is an n-copter rotor model, valid for relatively small land. For larger land, a fixed-wing drone may be more suitable.
  • drone -1 - in the example comprises a multispectral camera -1 1 - and a thermal camera -12-, which are located in the lower part of drone -1 -.
  • the drone -1 1 - also includes a geolocation device (such as a GPS -13-) that allows geolocation of images taken by cameras -1 1 -, -12-.
  • the drone also comprises a control board -14- for storing the data taken. It would also be possible for the drone to communicate the geolocated data directly without intermediate storage.
  • Figure 2 schematically shows an exemplary embodiment of a method according to the present invention.
  • the procedure begins with a data collection phase -100- in which the drone -1 - is blown above the cultivation land -50-.
  • the drone takes data, for various points, using its -1 1 optical camera - and its thermal camera -12-. Through your GPS -13-, these data are geolocated.
  • the data acquired by the drone are used in a second phase -200- to determine the orders (or recommendations and orientation of applications and crop management) of fertilization and / or irrigation.
  • a vegetative factor can be generated using any type of known calculation, such as the reflectance ratio of plants at 550 nm and 560 nm (NDVI 56 o / NDVI 6 6o), indicative of the amount of chlorophyll through the evaluation of nitrogen concentration.
  • Other known indices may also be used, such as the so-called TCARI / OSAVI, SAVI ("Soil-adjusted Vegetation Index"), or the NDRE ("Normalized Difference Red Edge Index").
  • water stress indices can be calculated, such as the so-called CWSI ("Crop Water Stress Index”), which can be calculated thanks to the use of a Unmanned vehicle with a suitable sensor, but other indices can also be used, such as the calculation of reference evapotranspiration (Eto) from the Pensman-Montheith model (Alien and others 1998), which requires a crop coefficient which takes into account the crop and its phenological state.
  • CWSI Cross Water Stress Index
  • the slope is a property of the land that greatly affects the uncertainty of fertilizer / irrigation recommendations based on the rates of known type calculated, because it affects the retention / accumulation capacity of fertilizers / water in the land.
  • the slope has to be considered independently of other land properties, such as the type of soil.
  • the slope information can be obtained from altimetric information obtained from the drone. Geographical information can also be acquired or generated to generate an MDT (Digital Terrain Model) of the land to be cultivated.
  • weighted overlay presents as advantages the possibility of carrying out distributed learning that results in a great ease of adaptation to different cases.
  • the tablet -500- can be used as a reference for irrigation or semi-manual fertilizer, or it can be connected to an automatic irrigation or fertilizer device, so that the tablet controls the irrigation or subscription based on the map generated (or the file with the orders downloaded from the platform).
  • the present invention thanks to the use of a remote access platform in combination with data collection by unmanned aerial vehicle, allows the accumulation and consultation of information, as well as the possibility of interacting with information for recreation, adjustment and Improvement of the calculation mechanisms of the irrigation and / or fertilizer orders.
  • the remote access platform will preferably allow access to information in the form of different layers (eg, raster and shp), query of evolution of values as a function of time, elaboration of query scripts between sectors of the same producer agricultural.
  • the platform also allows, for any of the embodiments of the present invention, to complement the data obtained by unmanned aerial vehicle, for example by uploading to the same geolocated photos, which can provide additional information for detection of nutrient deficiencies or pest attacks. and diseases
  • the platform may also feed on information from other sensors and / or databases for the preparation of the agronomic recommendation.
  • the drone can also comprise a topographic team to determine the altimetry of the terrain.
  • the drone -1 - can also typically comprise other equipment such as communication devices, a autopilot, and a battery.

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Soil Sciences (AREA)
  • Environmental Sciences (AREA)
  • Business, Economics & Management (AREA)
  • Water Supply & Treatment (AREA)
  • Primary Health Care (AREA)
  • Physics & Mathematics (AREA)
  • Economics (AREA)
  • General Health & Medical Sciences (AREA)
  • Human Resources & Organizations (AREA)
  • Marketing (AREA)
  • Mining & Mineral Resources (AREA)
  • Strategic Management (AREA)
  • Tourism & Hospitality (AREA)
  • Health & Medical Sciences (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Marine Sciences & Fisheries (AREA)
  • Animal Husbandry (AREA)
  • Agronomy & Crop Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Fertilizing (AREA)

Abstract

The invention relates to a method for the treatment of crops comprising the following phases: passing an unmanned aerial vehicle over a cropland capturing multispectral and/or tomographic data for different points with the camera; determining a vegetative factor for each of said points based on the information obtained by the camera; generating a recommendation for each of the different points based on the vegetative factor; applying the recommendation to the cropland using a system provided with a fertilizing device and a control system which controls the quantity of fertiliser based on said fertilisation command; and acquiring data relating to the incline of the land for each of said points. The generated fertilisation command depends on the incline of the land at the calculation point and on the typology of the land.

Description

PROCEDIMIENTO DE TRATAMIENTO DE CULTIVOS DESCRIPCIÓN El objetivo de la presente invención es un procedimiento de tratamiento de cultivos. Más en concreto, la presente invención proporciona la recomendación y orientación de aplicaciones y manejo de medios.  CULTURE TREATMENT PROCEDURE DESCRIPTION The objective of the present invention is a crop treatment procedure. More specifically, the present invention provides the recommendation and guidance of applications and media management.

El crecimiento de la población mundial y la concienciación medioambiental hacen necesarios una mejor organización y aprovechamiento de las tierras de cultivo, y seguramente esta necesidad aumente en próximos años. The growth of the world population and environmental awareness make better organization and use of farmland necessary, and this need will surely increase in the coming years.

Existen diferentes técnicas que aumentan los rendimientos de nuestros cultivos, pero las prácticas agronómicas tales como dosificación de riego y abonado, son de vital importancia, porque inciden en dos recursos no sostenibles, como el agua disponible y elementos orgánicos y minerales asimilables por las plantas. Por otro lado, en tratamientos como la poda o la siembra, la optimización de su operación puede reportar un ahorro en costes muy elevados. There are different techniques that increase the yields of our crops, but agronomic practices such as irrigation and fertilizer dosing are of vital importance, because they affect two unsustainable resources, such as available water and organic and mineral elements assimilable by plants. On the other hand, in treatments such as pruning or planting, the optimization of your operation can result in very high cost savings.

La diferenciación de la casuística de la determinación de dosificación de abonado y riego, es debido a que la asimilación y utilización de estos recursos por parte de las plantas, se realizan por dos caminos bien diferenciados, desde la fisiología de la planta. Por tanto para su determinación debemos introducirnos en esos procesos fisiológicos, para un correcto manejo de los tratamientos culturales de los cultivos. De igual manera, en la poda y siembra, se pueden determinar tratamientos diferenciales gracias a cuantificar volúmenes de vegetación y determinar su fisiología. La determinación de zonas con diferentes dosificaciones, sin la determinación de éstas, no es suficiente para un correcto manejo de los cultivos. Es imperiosa, la determinación de dosis que permitan reducir costes de consumo de agua y abonado, así como cuantificar volúmenes a podar o densidad de semillas a emplear. El documento de Patente japonés JPH1 1235124 da a conocer un procedimiento para tratamiento de cultivos que comprende las fases de: The differentiation of the casuistry of the determination of the dosage of fertilizer and irrigation is due to the fact that the assimilation and use of these resources by the plants are carried out by two well differentiated paths, from the physiology of the plant. Therefore, for its determination we must introduce ourselves in these physiological processes, for a correct management of the cultural treatments of the crops. Similarly, in pruning and planting, differential treatments can be determined by quantifying vegetation volumes and determining their physiology. The determination of areas with different dosages, without their determination, is not sufficient for proper crop management. It is imperative, the determination of doses that allow to reduce costs of consumption of water and fertilizer, as well as quantify volumes to prune or density of seeds to be used. Japanese Patent Document JPH1 1235124 discloses a process for treatment of crops comprising the phases of:

- Hacer pasar un vehículo aéreo no tripulado dotado de GPS y cámara por un terreno de cultivo, tomando para diversos puntos, datos visuales con una cámara. - Pass an unmanned aerial vehicle equipped with GPS and camera through a farmland, taking visual data with a camera for various points.

- Determinar una cantidad de clorofila a partir de la información de color obtenida por la cámara. - Determine an amount of chlorophyll from the color information obtained by the camera.

- Determinar un factor de crecimiento para cada uno de los citados puntos.  - Determine a growth factor for each of these points.

- Generar una orden de fertilización para cada uno de los diversos puntos a partir del factor de crecimiento.  - Generate a fertilization order for each of the various points from the growth factor.

- Fertilizar el terreno de cultivo utilizando un vehículo dotado de un dispositivo de fertilización y un sistema de control que controla la cantidad de fertilizante a partir de la citada orden de fertilización.  - Fertilize the cultivation land using a vehicle equipped with a fertilization device and a control system that controls the amount of fertilizer from the aforementioned fertilization order.

En el documento JPH1 1235124 utiliza una medición en el espectro visible para determinar la clorofila en el cultivo y en base a la misma dar una recomendación de abonado. El procedimiento que se da a conocer en el documento JPH1 1235124 resulta adecuado para los típicos cultivos de arroz orientales, en los cuales el terreno se inunda con agua. Sin embargo, de acuerdo con los estudios del solicitante, resulta excesivamente inexacto para cultivos no inundados. En particular, el documento que se da a conocer no vale para terrenos no homogéneos. Debido a los tipos de suelo, texturas, profundidades, orientaciones, necesidad hídrica, problemas sanitarios, etc., una misma parcela o terreno a cultivar presenta una variabilidad que hace inadecuado los sistemas de recomendación de abono basados en el desarrollo clorofílico. Es un objetivo de la presente invención dar a conocer un procedimiento que no presenta los inconvenientes antes citados. In JPH1 1235124 it uses a measurement in the visible spectrum to determine the chlorophyll in the crop and based on it give a subscriber recommendation. The procedure disclosed in JPH1 1235124 is suitable for typical oriental rice crops, in which the land is flooded with water. However, according to the applicant's studies, it is excessively inaccurate for non-flooded crops. In particular, the document disclosed is not valid for non-homogeneous land. Due to the types of soil, textures, depths, orientations, water needs, sanitary problems, etc., the same plot or land to be cultivated has a variability that makes fertilizer recommendation systems based on chlorophyll development inappropriate. It is an objective of the present invention to disclose a method that does not have the aforementioned drawbacks.

Es otro objetivo de la presente invención dar a conocer un procedimiento para control de la aplicación de fertilizante que sea a la vez exacto y de fácil implementación comercial, sin necesidad de requerir conocimientos especializados por parte del agricultor. Es también un objeto de la presente invención dar a conocer un procedimiento de control del manejo de cultivos que pueda implementarse de una manera económica. It is another objective of the present invention to provide a method for controlling the application of fertilizer that is both accurate and easily commercially implemented, without requiring specialized knowledge from the farmer. It is also an object of the present invention to provide a method of controlling crop management that can be implemented in an economical manner.

Más en particular, la presente invención da a conocer un procedimiento para el tratamiento de cultivos que comprende las fases de: More particularly, the present invention discloses a method for the treatment of crops comprising the phases of:

- hacer pasar un vehículo aéreo no tripulado dotado de GPS y cámara preferentemente multiespectral, por un terreno de cultivo tomando, para diversos puntos, datos con dicha cámara, preferentemente datos multiespectrales. - to pass an unmanned aerial vehicle equipped with a GPS and preferably a multispectral camera, through a crop field, taking, for various points, data with said camera, preferably multispectral data.

- determinar al menos un índice agronómico para cada uno de los citados puntos a partir de la información obtenida por la cámara, - determine at least one agronomic index for each of these points based on the information obtained by the camera,

- generar una recomendación de manejo de cultivo para cada uno de los diversos puntos a partir del citado al menos un índice agronómico,  - generate a crop management recommendation for each of the various points from the aforementioned at least one agronomic index,

- aplicar la recomendación en el terreno de cultivo utilizando un sistema dotado de un dispositivo de tratamiento y un sistema de control que controla una dosificación de insumo a partir de la citada recomendación, que comprende además la fase de: - adquisición de datos de pendiente de terreno para cada uno de los citados puntos,  - apply the recommendation in the field of cultivation using a system equipped with a treatment device and a control system that controls an input dosage from the aforementioned recommendation, which also includes the phase of: - acquisition of slope data ground for each of the mentioned points,

y por que la recomendación generada depende, además del citado índice agronómico, de la pendiente del terreno en el punto de cálculo y de la tipología del terreno. and because the recommendation generated depends, in addition to the aforementioned agronomic index, on the slope of the land at the calculation point and on the type of terrain.

Preferentemente, el procedimiento también comprende una fase de determinar cada punto de cultivo, cada planta o cada árbol, como una unidad única e independiente. La recomendación generada también puede hacerse depender, por ejemplo de la meteorología, de los volúmenes y superficies de vegetación y de datos puntuales no aéreos tales como analíticas de hoja o suelo, o datos de sondas. Preferentemente, el índice agronómico comprende un factor vegetativo. Preferentemente, la recomendación de cultivo comprende una orden o recomendación de aplicación de insumo, más preferentemente fertilizante. Preferably, the process also comprises a phase of determining each crop point, each plant or each tree, as a single and independent unit. The recommendation generated can also be made dependent, for example on meteorology, on the volumes and surfaces of vegetation and on non-aerial point data such as leaf or soil analytics, or probe data. Preferably, the agronomic index comprises a vegetative factor. Preferably, the cultivation recommendation comprises an order or recommendation for application of input, more preferably fertilizer.

La presente invención soluciona el citado problema mediante la consideración, para cada punto para el que se genera una recomendación de aplicación y/o manejo de cultivos (por ejemplo, una orden de fertilización), de la pendiente del terreno y de la tipología del suelo para la generación de una orden de fertilización. Los estudios realizados por los solicitantes confirman que las órdenes de fertilización generadas de esta manera resultan más eficientes. El solicitante ha comprobado que la mejora se produce debido a que la pendiente y el tipo de terreno influyen en la disponibilidad, asimilación y concentración de la dosificación de abonos o fertilizantes. En efecto, la existencia de una pendiente puede provocar una pérdida de abonos por influencia de la gravedad, o arrastre del agua de riego o de lluvia. El tipo de suelo también influye en la retención del abono o fertilizante suministrado. The present invention solves the aforementioned problem by considering, for each point for which a recommendation for the application and / or management of crops (for example, a fertilization order), the slope of the land and the type of soil is generated for the generation of a fertilization order. Studies conducted by applicants confirm that fertilization orders generated in this way are more efficient. The applicant has verified that the improvement is due to the fact that the slope and type of terrain influence the availability, assimilation and concentration of the fertilizer or fertilizer dosage. In fact, the existence of a slope can cause a loss of fertilizers due to the influence of gravity, or drag of irrigation or rainwater. The type of soil also influences the retention of the fertilizer or fertilizer supplied.

Mediante la presente invención se permite tener en cuenta que los terrenos no son homogéneos debidos a los tipos de suelo, texturas, profundidades, orientaciones, necesidad hídrica, etc. La presente invención permite identificar la variabilidad dentro de una misma parcela de cultivo y tratar el cultivo en base a dicha variabilidad. By means of the present invention it is allowed to take into account that the lands are not homogeneous due to the types of soil, textures, depths, orientations, water needs, etc. The present invention allows identifying the variability within the same crop plot and treating the crop based on said variability.

Los factores antes citados (índice agronómico, pendiente y tipología del terreno), podrán preferentemente combinarse mediante superposición ponderada. The aforementioned factors (agronomic index, slope and terrain typology) may preferably be combined by weighted overlap.

En una realización especialmente preferente, el procedimiento comprende la fase de toma datos altimétricos del terreno desde el vehículo aéreo no tripulado para determinar los datos de pendiente. Alternativamente, los datos de altimetría pueden ser tomados de un servicio cartográfico. Sin embargo, la toma de datos in situ es más precisa y beneficiosa para los resultados finales. In a particularly preferred embodiment, the method comprises the stage of taking altimetric terrain data from the unmanned aerial vehicle to determine the slope data. Alternatively, altimetry data can be taken from a cartographic service. However, in situ data collection is more accurate and beneficial for the final results.

De manera especialmente preferente, la presente invención también prevé la generación de órdenes de riego. La presente invención también prevé la generación de órdenes de poda, siembra e incluso aplicaciones de productos fitosanitarios. Especially preferably, the present invention also provides for the generation of irrigation orders. The present invention also provides for the generation of orders for pruning, planting and even applications of plant protection products.

Para ello, preferentemente, la presente invención también comprende las fases de: For this, preferably, the present invention also comprises the phases of:

- toma de datos de temperatura en los citados puntos mediante una cámara térmica, - temperature data collection at the mentioned points by means of a thermal chamber,

- generar una orden de dosificación de riego para cada punto a partir de los datos obtenidos mediante la cámara térmica.  - generate an irrigation dosing order for each point from the data obtained through the thermal chamber.

De manera ventajosa, la orden de dosificación de riego depende también de la pendiente del terreno en el punto de cálculo y de la tipología del terreno. La orden de dosificación también puede depender de la meteorología, volúmenes y superficies de vegetación y datos puntuales no aéreos tales como analíticas de hoja o suelo, o datos de sondas. Advantageously, the irrigation dosing order also depends on the slope of the land at the point of calculation and on the type of terrain. The dosage order may also depend on the meteorology, volumes and vegetation surfaces and non-aerial point data such as leaf or soil analytics, or probe data.

Preferentemente, el factor vegetativo, la pendiente del terreno, la tipología del terreno y/o los datos obtenidos mediante la cámara térmica se combinan mediante superposición ponderada. Preferably, the vegetative factor, the slope of the terrain, the typology of the terrain and / or the data obtained by the thermal chamber are combined by weighted overlap.

La presente invención presenta la ventaja de poder complementar la toma de datos in situ mediante un vehículo no tripulado mediante una plataforma accesible de manera remota. Esto proporciona numerosas ventajas, tal como por ejemplo interactividad con el usuario. The present invention has the advantage of being able to complement the on-site data collection by means of an unmanned vehicle through a remotely accessible platform. This provides numerous advantages, such as user interactivity.

Para ello, preferentemente, tras la obtención de datos mediante un vehículo aéreo no tripulado, los datos son enviados de manera remota a una plataforma remota para realización de determinaciones y generación de las citadas órdenes. Más preferentemente, la plataforma remota comprende una interfaz de usuario para la recepción de feedback. To do this, preferably, after obtaining data by means of an unmanned aerial vehicle, the data is sent remotely to a remote platform to carry out determinations and generation of said orders. More preferably, the remote platform comprises a user interface for receiving feedback.

Aún más preferentemente, la plataforma modifica de manera automática valores asociados a la superposición ponderada en función del citado feedback. Even more preferably, the platform automatically modifies values associated with the weighted overlay based on the aforementioned feedback.

La ponderación de los diferentes parámetros debe realizarse caso a caso. La utilización de una plataforma de acceso remoto permite implementar de manera automática algoritmos de aprendizaje que optimicen los parámetros en función de experiencias producidas en diferentes lugares. De una manera especialmente ventajosa, la presente invención prevé que la orden de dosificación de insumo (por ejemplo, abono) dependa de los datos tomados por la cámara térmica. En efecto, una carencia de desarrollo clorofílico puede venir dada por un estrés hídrico en zonas bien abonadas, en especial en zonas con una pendiente notable, cosa que resulta de más difícil ocurrencia en zonas bajas sin pendiente que han de ser receptoras de escorrentías. The weighting of the different parameters must be done on a case-by-case basis. The use of a remote access platform allows automatic implementation of learning algorithms that optimize the parameters based on experiences produced in different places. In a particularly advantageous manner, the present invention provides that the dosage order of input (for example, fertilizer) depends on the data taken by the thermal chamber. In fact, a lack of chlorophyll development can be caused by water stress in well-paid areas, especially in areas with a noticeable slope, which results in more difficult occurrence in low-lying areas that have to be runoff receivers.

De manera ventajosa, las citadas recomendaciones y/u órdenes se envían a dispositivo de control automático de un dosificador instalado en un vehículo agrícola. Más en particular, la presente invención permite generar órdenes que pueden integrarse directamente en pantallas de tractores y en programas de riego de nueva generación. La presente invención también puede ser utilizada con sistemas tradicionales de riego. Para ello la presente invención prevé la generación de mapas visuales con recomendaciones y orientación de aplicaciones y manejo de cultivos. Estos mapas podrán ser accesibles remotamente desde tablets o móviles con GPS (desde la "nube" o "cloud") que pueden instalarse fácilmente en los tractores en modo navegador de coche. El procedimiento objeto de la presente invención permite la generación de mapas y/o recomendaciones agronómicas para la toma de decisiones en campo. Esto permite la consecución de objetivos tales como aumentar la producción de los cultivos, la optimización de los costes y el aumento de la calidad de las cosechas resultantes. El ajuste de las recomendaciones y orientaciones de aplicaciones y manejo de cultivos (por ejemplo, dosificaciones de riego y/o abono y/o productos fitosanitarios) permite reducir la contaminación de suelos y aguas subterráneas y superficiales, mediante la reducción del uso de nitratos. Advantageously, the aforementioned recommendations and / or orders are sent to an automatic control device of a dispenser installed in an agricultural vehicle. More particularly, the present invention allows generating orders that can be directly integrated into tractor screens and new generation irrigation programs. The present invention can also be used with traditional irrigation systems. For this, the present invention provides for the generation of visual maps with recommendations and guidance of applications and crop management. These maps can be remotely accessible from tablets or mobile phones with GPS (from the "cloud" or "cloud") that can be easily installed on tractors in car navigator mode. The procedure object of the present invention allows the generation of maps and / or agronomic recommendations for decision making in the field. This allows the achievement of objectives such as increasing crop production, optimizing costs and increasing the quality of the resulting crops. The adjustment of the recommendations and orientations of applications and crop management (for example, irrigation and / or fertilizer dosages and / or phytosanitary products) allows to reduce the contamination of soils and underground and surface waters, by reducing the use of nitrates.

Para su mejor comprensión se adjuntan, a título de ejemplo explicativo pero no limitativo, unos dibujos de una realización de la disposición publicitaria, objeto de la presente invención. For better understanding, some drawings of an embodiment of the advertising arrangement, object of the present invention, are attached by way of explanatory but not limitative example.

La figura 1 muestra un vehículo aéreo no tripulado ("dron") utilizable en el procedimiento objeto de la presente invención. Figure 1 shows an unmanned aerial vehicle ("drone") usable in the process object of the present invention.

La figura 2 muestra de manera esquemática un procedimiento objeto de la presente invención. Figure 2 shows schematically a method object of the present invention.

La figura 1 muestra un vehículo no tripulado ("dron") -1 - con el cual se pueden a llevar a cabo las fases de recogida de datos de un ejemplo de procedimiento según la presente invención. El dron -1 - del ejemplo es un modelo de rotor n-cóptero, valido para terrenos de tamaño relativamente reducido. Para terrenos de mayor tamaño, un dron de ala fija puede resultar más adecuado. Figure 1 shows an unmanned vehicle ("drone") -1 - with which the data collection phases of an example procedure according to the present invention can be carried out. Drone -1 - in the example is an n-copter rotor model, valid for relatively small land. For larger land, a fixed-wing drone may be more suitable.

Para la toma de datos, el dron -1 - del ejemplo comprende una cámara multiespectral -1 1 - y una cámara térmica -12-, que se sitúan en la parte inferior del dron -1 -. El dron -1 1 - también comprende un dispositivo de geolocalización (tal como un GPS -13-) que permite geolocalizar las imágenes tomadas por las cámaras -1 1 -, -12-. El dron también comprende una placa de control -14- para almacenar los datos tomados. También sería posible que el dron se pueda comunicar directamente los datos geolocalizados sin almacenamiento intermedio. For data collection, drone -1 - in the example comprises a multispectral camera -1 1 - and a thermal camera -12-, which are located in the lower part of drone -1 -. The drone -1 1 - also includes a geolocation device (such as a GPS -13-) that allows geolocation of images taken by cameras -1 1 -, -12-. The drone also comprises a control board -14- for storing the data taken. It would also be possible for the drone to communicate the geolocated data directly without intermediate storage.

La figura 2 muestra de manera esquemática un ejemplo de realización de un procedimiento según la presente invención. Figure 2 schematically shows an exemplary embodiment of a method according to the present invention.

El procedimiento se inicia con una fase de recogida de datos -100- en la que el dron -1 - se hace volar por encima del terreno de cultivo -50-. El dron toma datos, para diversos puntos, mediante su cámara óptica -1 1 - y su cámara térmica -12-. Mediante su GPS -13-, dichos datos quedan geolocalizados. The procedure begins with a data collection phase -100- in which the drone -1 - is blown above the cultivation land -50-. The drone takes data, for various points, using its -1 1 optical camera - and its thermal camera -12-. Through your GPS -13-, these data are geolocated.

Los datos adquiridos por el dron son utilizados en una segunda fase -200- de determinación de las órdenes (o recomendaciones y orientación de aplicaciones y manejo de cultivos) de fertilización y/o riego. A partir de los datos de la cámara multiespectral puede generarse un factor vegetativo utilizando cualquier tipo de cálculo conocido, como por ejemplo el cociente de reflectancia de las plantas a 550 nm y a 560 nm (NDVI56o/NDVI66o), indicativo de la cantidad de clorofila por intermedio de la evaluación de la concentración de nitrógeno. También pueden utilizarse otros índices conocidos, tales como los denominados TCARI/OSAVI, SAVI ("Soil-adjusted Vegetation Index"), o el NDRE ("Normalized Difference Red Edge Index"). The data acquired by the drone are used in a second phase -200- to determine the orders (or recommendations and orientation of applications and crop management) of fertilization and / or irrigation. From the data of the multispectral chamber a vegetative factor can be generated using any type of known calculation, such as the reflectance ratio of plants at 550 nm and 560 nm (NDVI 56 o / NDVI 6 6o), indicative of the amount of chlorophyll through the evaluation of nitrogen concentration. Other known indices may also be used, such as the so-called TCARI / OSAVI, SAVI ("Soil-adjusted Vegetation Index"), or the NDRE ("Normalized Difference Red Edge Index").

A partir de los datos de la cámara térmica -12-, se puede calcular índices de estrés hídrico, como el denominado CWSI ("Crop Water Stress Index"), posible de calcular gracias a la utilización de un vehículo no tripulado con un sensor adecuado, pero también puede utilizarse otros índices, como por ejemplo, el cálculo de la evapotranspiración de referencia (Eto) a partir del modelo de Pensman-Montheith (Alien y otros 1998), que requiere un coeficiente de cultivo que tiene en cuenta el cultivo y su estado fenológico. From the thermal chamber data -12-, water stress indices can be calculated, such as the so-called CWSI ("Crop Water Stress Index"), which can be calculated thanks to the use of a Unmanned vehicle with a suitable sensor, but other indices can also be used, such as the calculation of reference evapotranspiration (Eto) from the Pensman-Montheith model (Alien and others 1998), which requires a crop coefficient which takes into account the crop and its phenological state.

Ambos índices (vegetativo y estrés hídrico) presentan una incertidumbre grande. Para reducir la incertidumbre, la presente invención prevé la utilización de datos de pendiente y de tipo de suelo, meteorología, volúmenes y superficies de vegetación y datos puntuales no aéreos tales como analíticas de hoja o suelo, o datos de sondas. La pendiente es una propiedad del terreno que afecta grandemente a la incertidumbre de las recomendaciones de abono/riego basadas en los índices de tipo conocido calculados, porque afecta a la capacidad de retención/acumulación de fertilizantes/agua del terreno. De acuerdo con la presente invención, la pendiente ha de ser considerada con independencia de otras propiedades del terreno, como por ejemplo el tipo de suelo. La información sobre pendiente puede obtenerse a partir de información altimétrica obtenida desde el dron. También puede adquirirse o generarse información geográfica que permita generar un MDT (Modelo Digital del Terreno) del terreno a cultivar. Both indices (vegetative and water stress) present a large uncertainty. To reduce uncertainty, the present invention provides for the use of slope and soil type data, meteorology, volumes and vegetation surfaces and non-aerial point data such as leaf or soil analytics, or probe data. The slope is a property of the land that greatly affects the uncertainty of fertilizer / irrigation recommendations based on the rates of known type calculated, because it affects the retention / accumulation capacity of fertilizers / water in the land. In accordance with the present invention, the slope has to be considered independently of other land properties, such as the type of soil. The slope information can be obtained from altimetric information obtained from the drone. Geographical information can also be acquired or generated to generate an MDT (Digital Terrain Model) of the land to be cultivated.

Para un mejor ajuste de las dosificaciones de riego y/o abono, puede tomarse también en cuenta, en cualquier realización de la presente invención, la consideración del estado fenológico de los cultivos a la hora de generar una orden de riego y/o abono. For a better adjustment of the irrigation and / or fertilizer dosages, consideration may also be taken in any embodiment of the present invention of the phenological state of the crops when generating an irrigation and / or fertilizer order.

Una gran ventaja de esta solución es que al trabajar con imágenes de mucha resolución es posible trabajar punto a punto que significa planta a planta o árbol a árbol. A diferencia de otros mecanismos de análisis de datos somos capaces de identificar estos puntos y darles descriptores o factores que nos permiten efectuar una recomendación. A great advantage of this solution is that when working with high resolution images it is possible to work point to point which means plant to plant or tree to tree. Unlike other data analysis mechanisms we are able to identify these points and give them descriptors or factors that allow us to make a recommendation.

Los diferentes factores a tener en cuenta pueden ser combinados de manera ponderada. Un método preferente de ponderación es el de la superposición ponderada. La superposición ponderada presenta como ventajas la posibilidad de realizar un aprendizaje distribuido que resulta en una gran facilidad de adaptación a diferentes casos. The different factors to consider can be combined in a weighted way. A preferred method of weighting is that of weighted overlay. The weighted overlay presents as advantages the possibility of carrying out distributed learning that results in a great ease of adaptation to different cases.

Una vez calculados los diferentes índices elegidos y ponderados de la manera escogida, se puede proceder a realizar recomendaciones de abono y/o riego punto por punto. Esto implica dividir el terreno cultivado -50- en puntos o zonas y asignar a cada zona o punto una recomendación específica de abono y/o riego -51 -, -52-, -51 '-, -52'-. Al estar geolocalizadas las recomendaciones, se puede generar un mapa con las recomendaciones. Este mapa puede ser consultado de manera remota accediendo a la plataforma o bien descargándolo en una móvil o tablet -500-, que se puede disponer en un vehículo agrícola -400-. En la fase de abono o riego -300-, la tablet -500- puede utilizarse como referencia para el riego o abono semimanual, o bien puede conectarse a un dispositivo automático de riego o abono, de tal manera que la tablet controle el riego o abono en función del mapa generado (o bien del archivo con las órdenes descargado desde la plataforma). La presente invención, gracias a la utilización de una plataforma de acceso remoto en combinación con la toma de datos mediante vehículo aéreo no tripulado, permite la acumulación y consulta de información, así como la posibilidad de interaccionar con la información para la recreación, ajuste y mejora de los mecanismos de cálculo de las órdenes de riego y/o abono. Once the different indexes chosen and weighted in the chosen way have been calculated, you can proceed to make fertilizer recommendations and / or irrigation point by point. This implies dividing the cultivated land -50- into points or zones and assigning a specific fertilizer and / or irrigation recommendation to each zone or point -51 -, -52-, -51 '-, -52'-. When the recommendations are geolocated, a map with the recommendations can be generated. This map can be consulted remotely by accessing the platform or by downloading it on a mobile or tablet -500-, which can be arranged in a -400- agricultural vehicle. In the fertilizer or irrigation phase -300-, the tablet -500- can be used as a reference for irrigation or semi-manual fertilizer, or it can be connected to an automatic irrigation or fertilizer device, so that the tablet controls the irrigation or subscription based on the map generated (or the file with the orders downloaded from the platform). The present invention, thanks to the use of a remote access platform in combination with data collection by unmanned aerial vehicle, allows the accumulation and consultation of information, as well as the possibility of interacting with information for recreation, adjustment and Improvement of the calculation mechanisms of the irrigation and / or fertilizer orders.

La plataforma de acceso remoto permitirá de manera preferente acceder a la información en forma de diferentes capas (p.ej, ráster y shp), consulta de evolución de valores en función del tiempo, elaboración de scripts de consulta entre los sectores de un mismo productor agrícola. La plataforma también permite, para cualquiera de las realizaciones de la presente invención, complementar los datos obtenidos mediante vehículo aéreo no tripulado, por ejemplo subiendo a la misma fotos geolocalizadas, lo que puede proporcionar información adicional para detección de carencias en nutrientes o ataques de plagas y enfermedades. La plataforma podrá alimentarse también de información de otros sensores y/o de bases de datos para la elaboración de la recomendación agronómica. The remote access platform will preferably allow access to information in the form of different layers (eg, raster and shp), query of evolution of values as a function of time, elaboration of query scripts between sectors of the same producer agricultural. The platform also allows, for any of the embodiments of the present invention, to complement the data obtained by unmanned aerial vehicle, for example by uploading to the same geolocated photos, which can provide additional information for detection of nutrient deficiencies or pest attacks. and diseases The platform may also feed on information from other sensors and / or databases for the preparation of the agronomic recommendation.

Si bien no se ha reflejado en las figuras, el dron también podrá comprender un equipo topográfico para determinar la altimetría del terreno. El dron -1 - también puede comprender típicamente otros equipos como dispositivos de comunicación, un autopiloto, y una batería. Although it has not been reflected in the figures, the drone can also comprise a topographic team to determine the altimetry of the terrain. The drone -1 - can also typically comprise other equipment such as communication devices, a autopilot, and a battery.

Si bien la invención se ha presentado y descrito con referencia a realizaciones de la misma, se comprenderá que éstas no son limitativas de la invención, por lo que podrían ser variables múltiples detalles constructivos u otros que podrán resultar evidentes para los técnicos del sector después de interpretar la materia que se da a conocer en la presente descripción, reivindicaciones y dibujos. Así pues, todas las variantes y equivalentes quedarán incluidas dentro del alcance de la presente invención si se pueden considerar comprendidas dentro del ámbito más extenso de las siguientes reivindicaciones. Although the invention has been presented and described with reference to embodiments thereof, it will be understood that these are not limiting of the invention, so that multiple constructive or other details that could be evident to the technicians of the sector could be variable after Interpret the subject matter disclosed in the present description, claims and drawings. Thus, all variants and equivalents will be included within the scope of the present invention if they can be considered to be within the broadest scope of the following claims.

Claims

REIVINDICACIONES 1 . Procedimiento para el tratamiento de cultivos que comprende las fases de: - hacer pasar un vehículo aéreo no tripulado dotado de GPS y cámara por un terreno de cultivo tomando para diversos puntos datos con dicha cámara, one . Procedure for the treatment of crops comprising the phases of: - passing an unmanned aerial vehicle equipped with GPS and camera through a crop field taking data with said camera for various points, - determinar al menos un índice agronómico para cada uno de los citados puntos a partir de la información obtenida por la cámara,  - determine at least one agronomic index for each of these points based on the information obtained by the camera, - generar una recomendación de manejo de cultivo para cada uno de los diversos puntos a partir del citado al menos un índice agronómico,  - generate a crop management recommendation for each of the various points from the aforementioned at least one agronomic index, - aplicar la recomendación en el terreno de cultivo utilizando un sistema dotado de un dispositivo de tratamiento y un sistema de control que controla una dosificación de insumo a partir de la citada recomendación, caracterizado por que comprende la fase de:  - apply the recommendation in the field of cultivation using a system equipped with a treatment device and a control system that controls an input dosage from the aforementioned recommendation, characterized in that it comprises the phase of: - adquisición de datos de pendiente de terreno para cada uno de los citados puntos, y por que la recomendación generada depende, además del citado índice agronómico, de la pendiente del terreno en el punto de cálculo y de la tipología del terreno. - Acquisition of land slope data for each of the aforementioned points, and why the recommendation generated depends, in addition to the aforementioned agronomic index, on the slope of the land at the calculation point and on the type of terrain. 2. Procedimiento, según la reivindicación 1 , caracterizado por que comprende la fase de toma datos altimétricos del terreno desde el vehículo aéreo no tripulado para determinar los datos de pendiente. 2. Method according to claim 1, characterized in that it comprises the stage of taking altimetric data of the terrain from the unmanned aerial vehicle to determine the slope data. 3. Procedimiento, según la reivindicación 1 o 2, caracterizado por que también comprende las fases de: 3. Method according to claim 1 or 2, characterized in that it also comprises the phases of: - toma de datos de temperatura en los citados puntos mediante una cámara térmica, - temperature data collection at the mentioned points by means of a thermal chamber, - generar una orden de dosificación de riego para cada punto a partir de los datos obtenidos mediante la cámara térmica.  - generate an irrigation dosing order for each point from the data obtained through the thermal chamber. 4. Procedimiento, según la reivindicación 3, caracterizado por que la orden de dosificación de riego depende también de la pendiente del terreno en el punto de cálculo y de la tipología del terreno. 4. Method according to claim 3, characterized in that the irrigation dosing order also depends on the slope of the land at the calculation point and on the type of terrain. 5. Procedimiento, según cualquiera de las reivindicaciones 1 a 4, caracterizado por que el índice agronómico, la pendiente del terreno, la tipología del terreno y/o los datos obtenidos mediante la cámara térmica se combinan mediante superposición ponderada. 5. Method according to any one of claims 1 to 4, characterized in that the agronomic index, the slope of the land, the type of terrain and / or the data obtained by the thermal chamber are combined by weighted overlap. 6. Procedimiento, según cualquiera de las realizaciones anteriores, caracterizado por que tras la obtención de datos mediante un vehículo aéreo no tripulado, los datos son enviados de manera remota a una plataforma remota para realización de determinaciones y generación de las citadas órdenes. 6. Procedure, according to any of the previous embodiments, characterized in that after obtaining data by means of an unmanned aerial vehicle, the data is sent remotely to a remote platform for carrying out determinations and generation of said orders. 7. Procedimiento, según la reivindicación 6, caracterizado por que la plataforma remota comprende una interfaz de usuario para la recepción de feedback. 7. Method according to claim 6, characterized in that the remote platform comprises a user interface for receiving feedback. 8. Procedimiento, según la reivindicación 7 y la reivindicación 5, caracterizado por que la plataforma modifica de manera automática valores asociados a la superposición ponderada en función del citado feedback. 8. Method according to claim 7 and claim 5, characterized in that the platform automatically modifies values associated with the weighted overlay based on said feedback. 9. Procedimiento, según cualquiera de las reivindicaciones anteriores, caracterizado por que las citadas recomendaciones y/u órdenes se envían a dispositivo de control automático de un dosificador instalado en un vehículo agrícola. 9. Method according to any of the preceding claims, characterized in that said recommendations and / or orders are sent to an automatic control device of a dispenser installed in an agricultural vehicle. 10. Procedimiento, según cualquiera de las reivindicaciones 3 a 9, caracterizado por que la citada recomendación depende de los datos tomados por la cámara térmica. Method according to any one of claims 3 to 9, characterized in that said recommendation depends on the data taken by the thermal chamber. 1 1 . Procedimiento, según cualquiera de las reivindicaciones anteriores, caracterizado por que la cámara es una cámara multiespectral que toma datos multiespectrales. eleven . Method according to any of the preceding claims, characterized in that the camera is a multispectral camera that takes multispectral data. 12. Procedimiento, según cualquiera de las reivindicaciones anteriores, caracterizado por que el insumo comprende fertilizante. 12. Method according to any of the preceding claims, characterized in that the input comprises fertilizer. 13. Procedimiento, según cualquiera de las reivindicaciones anteriores, caracterizado por que el índice agronómico comprende un factor vegetativo. 13. Method according to any of the preceding claims, characterized in that the agronomic index comprises a vegetative factor. 14. Procedimiento, según cualquiera de las reivindicaciones anteriores, caracterizado por que comprende una fase de determinar cada punto de cultivo, cada planta o cada árbol, como una unidad única e independiente. 14. Method according to any of the preceding claims, characterized in that it comprises a phase of determining each cultivation point, each plant or each tree, as a single and independent unit. 15. Procedimiento, según cualquiera de las reivindicaciones anteriores, caracterizado por que el citado al menos un índice agronómico son al menos dos índices agronómicos 15. Method according to any of the preceding claims, characterized in that said at least one agronomic index is at least two agronomic indices 16. Procedimiento, según cualquiera de las reivindicaciones anteriores, caracterizado por que la citada recomendación incluye órdenes de siembra y/o poda y/o aplicación de productos fitosanitarios. 16. Method according to any of the preceding claims, characterized in that said recommendation includes orders for sowing and / or pruning and / or application of phytosanitary products.
PCT/ES2018/070251 2017-03-31 2018-03-27 Method for the treatment of crops Ceased WO2018178468A1 (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
ES201700474A ES2684843B9 (en) 2017-03-31 2017-03-31 Crop Treatment Procedure
ESP201700474 2017-03-31

Publications (1)

Publication Number Publication Date
WO2018178468A1 true WO2018178468A1 (en) 2018-10-04

Family

ID=63674347

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/ES2018/070251 Ceased WO2018178468A1 (en) 2017-03-31 2018-03-27 Method for the treatment of crops

Country Status (2)

Country Link
ES (1) ES2684843B9 (en)
WO (1) WO2018178468A1 (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110050672A (en) * 2019-03-22 2019-07-26 宁波工程学院 A kind of scale precision irrigation method
KR20210158538A (en) * 2020-06-24 2021-12-31 농업회사법인 주식회사 루이팜 System and method for generating farming map of agricultural robot based on artificial intelligence

Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4015366A (en) * 1975-04-11 1977-04-05 Advanced Decision Handling, Inc. Highly automated agricultural production system
WO2001033505A2 (en) * 1999-11-04 2001-05-10 Monsanto Company Multi-variable model for identifying crop response zones in a field
US20090259483A1 (en) * 2008-04-11 2009-10-15 Larry Lee Hendrickson Method for making a land management decision based on processed elevational data
US20140012732A1 (en) * 2010-10-25 2014-01-09 Trimble Navigation Limited Generating a crop recommendation
US20140345340A1 (en) * 2013-05-21 2014-11-27 Kyle H. Holland Variable rate chemical management methods for agricultural landscapes using multiform growth response function
US20150302305A1 (en) * 2014-04-21 2015-10-22 The Climate Corporation Generating an agriculture prescription
US20160055592A1 (en) * 2014-08-25 2016-02-25 David P. Groeneveld System, Method and Product for Automated Crop Insurance Loss Adjusting for Prevented Planting Conditions
US20160063639A1 (en) * 2014-08-26 2016-03-03 David P. Groeneveld System and Method to Assist Crop Loss Adjusting of Variable Impacts Across Agricultural Fields Using Remotely-Sensed Data
WO2016154482A1 (en) * 2015-03-25 2016-09-29 360 Yield Center, Llc Agronomic systems, methods and apparatuses
WO2016183000A1 (en) * 2015-05-12 2016-11-17 BioSensing Systems, LLC Apparatuses and methods for bio-sensing using unmanned aerial vehicles

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR2749177B1 (en) * 1996-06-03 1998-07-17 Inst Francais Du Petrole METHOD AND SYSTEM FOR THE REMOTE SENSING OF THE FLAMMABILITY OF THE DIFFERENT PARTS OF A ZONE OVERFLOW BY AN AIRCRAFT
JP2011254711A (en) * 2010-06-05 2011-12-22 Zukosha:Kk Fertilization map generating system, method for the same, industrial helicopter, server, and controlled fertilizer applicator
KR101536095B1 (en) * 2015-01-14 2015-07-13 농업회사법인 주식회사 에이치알제주 Grassland management system using drone
US20180242515A1 (en) * 2015-08-25 2018-08-30 Sony Corporation Farm field management system, farm field management method, and farm equipment system
CN105446309A (en) * 2015-12-31 2016-03-30 西北工业大学 Agricultural intelligent analysis monitoring system based on IOT (Internet of Things)
CN105936337A (en) * 2016-04-29 2016-09-14 天津工业大学 Agricultural unmanned aerial vehicle

Patent Citations (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US4015366A (en) * 1975-04-11 1977-04-05 Advanced Decision Handling, Inc. Highly automated agricultural production system
WO2001033505A2 (en) * 1999-11-04 2001-05-10 Monsanto Company Multi-variable model for identifying crop response zones in a field
US20090259483A1 (en) * 2008-04-11 2009-10-15 Larry Lee Hendrickson Method for making a land management decision based on processed elevational data
US20140012732A1 (en) * 2010-10-25 2014-01-09 Trimble Navigation Limited Generating a crop recommendation
US20140345340A1 (en) * 2013-05-21 2014-11-27 Kyle H. Holland Variable rate chemical management methods for agricultural landscapes using multiform growth response function
US20150302305A1 (en) * 2014-04-21 2015-10-22 The Climate Corporation Generating an agriculture prescription
US20160055592A1 (en) * 2014-08-25 2016-02-25 David P. Groeneveld System, Method and Product for Automated Crop Insurance Loss Adjusting for Prevented Planting Conditions
US20160063639A1 (en) * 2014-08-26 2016-03-03 David P. Groeneveld System and Method to Assist Crop Loss Adjusting of Variable Impacts Across Agricultural Fields Using Remotely-Sensed Data
WO2016154482A1 (en) * 2015-03-25 2016-09-29 360 Yield Center, Llc Agronomic systems, methods and apparatuses
WO2016183000A1 (en) * 2015-05-12 2016-11-17 BioSensing Systems, LLC Apparatuses and methods for bio-sensing using unmanned aerial vehicles

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110050672A (en) * 2019-03-22 2019-07-26 宁波工程学院 A kind of scale precision irrigation method
KR20210158538A (en) * 2020-06-24 2021-12-31 농업회사법인 주식회사 루이팜 System and method for generating farming map of agricultural robot based on artificial intelligence
KR102371433B1 (en) 2020-06-24 2022-03-07 농업회사법인 주식회사 루이팜 System and method for generating farming map of agricultural robot based on artificial intelligence

Also Published As

Publication number Publication date
ES2684843B9 (en) 2019-11-14
ES2684843B1 (en) 2019-07-09
ES2684843A1 (en) 2018-10-04

Similar Documents

Publication Publication Date Title
ES2410370T3 (en) System and method to manage the use of resources
Balafoutis et al. Smart farming technologies–description, taxonomy and economic impact
ES2961902T3 (en) Site selection for treatment sampling
ES2947014T3 (en) Creation of digital crop maps
ES2965819T3 (en) Agricultural data analysis
US8150554B2 (en) Resource use management in yards and gardens
US8437879B2 (en) System and method for providing prescribed resources to plants
Ncube et al. Precision agriculture and food security in Africa
ES2942415T3 (en) Automatic detection of harvest data outliers
US20180349520A1 (en) Methods for agricultural land improvement
Kent Shannon et al. An introduction to precision agriculture
US20100268679A1 (en) Horticultural Knowledge Base for Managing Yards and Gardens
US20090164281A1 (en) Method for selecting crop varieties
UA125018C2 (en) Generating digital models of nutrients available to a crop over the course of the crop's development based on weather and soil data
Singh Precision farming
Sharma et al. Investigations of precision agriculture technologies with application to developing countries
Pérez-Ruiz et al. Optimization of agrochemical application in olive groves based on positioning sensor
Ali et al. Broad Scope of Site‐Specific Crop Management and Specific Role of Remote Sensing Technologies Within It—A Review
ES2684843B9 (en) Crop Treatment Procedure
Waqas et al. Engineering principles of precision farming: pathway for the developing countries to ensure food security
ES2918007T3 (en) Procedure for determining the vegetal properties of a useful plant
Phillips Precision agriculture: supporting global food security.
Bag et al. Precision farming: The bright future for Indian agriculture
Gonzalez-Dugo et al. Site-Specific Agriculture
El-Naggar et al. Precision Irrigation in Outdoor Horticulture

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 18774913

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 18774913

Country of ref document: EP

Kind code of ref document: A1