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WO2018178468A1 - Procédé de traitement de cultures - Google Patents

Procédé de traitement de cultures Download PDF

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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
English (en)
Spanish (es)
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/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06Q—INFORMATION 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
    • G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/02—Agriculture; Fishing; Forestry; Mining
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01C—PLANTING; SOWING; FERTILISING
    • A01C21/00—Methods of fertilising, sowing or planting
    • A01C21/007—Determining fertilization requirements
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G25/00—Watering gardens, fields, sports grounds or the like
    • A01G25/06—Watering arrangements making use of perforated pipe-lines located in the soil
    • A—HUMAN NECESSITIES
    • A01—AGRICULTURE; FORESTRY; ANIMAL HUSBANDRY; HUNTING; TRAPPING; FISHING
    • A01G—HORTICULTURE; CULTIVATION OF VEGETABLES, FLOWERS, RICE, FRUIT, VINES, HOPS OR SEAWEED; FORESTRY; WATERING
    • A01G27/00—Self-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

L'invention concerne un procédé de traitement de cultures comprenant les phases consistant à : - faire passer un véhicule aérien sans pilote sur un terrain de culture prenant pour divers points des données multispectrales et/ou tomographiques avec ladite caméra, - déterminer un facteur végétatif pour chacun desdits points à partir des informations obtenues par la caméra, - générer une recommandation pour chacun des divers points à partir du facteur végétatif, - appliquer la recommandation sur le terrain de culture en utilisant un système pourvu d'un dispositif de fertilisation et d'un système de contrôle qui contrôle la quantité d'engrais à partir dudit ordre de fertilisation, et - acquérir des données de déclivité de terrain pour chacun desdits points. L'ordre de fertilisation généré dépend de la déclivité du terrain au point de calcul et de la typologie du terrain.
PCT/ES2018/070251 2017-03-31 2018-03-27 Procédé de traitement de cultures Ceased WO2018178468A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
ESP201700474 2017-03-31
ES201700474A ES2684843B9 (es) 2017-03-31 2017-03-31 Procedimiento de tratamiento de cultivos

Publications (1)

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

Family

ID=63674347

Family Applications (1)

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PCT/ES2018/070251 Ceased WO2018178468A1 (fr) 2017-03-31 2018-03-27 Procédé de traitement de cultures

Country Status (2)

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ES (1) ES2684843B9 (fr)
WO (1) WO2018178468A1 (fr)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110050672A (zh) * 2019-03-22 2019-07-26 宁波工程学院 一种规模化精确灌溉方法
KR20210158538A (ko) * 2020-06-24 2021-12-31 농업회사법인 주식회사 루이팜 인공지능 기반 농업 로봇용 농경지 경작지도 생성 시스템 및 방법

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US4015366A (en) * 1975-04-11 1977-04-05 Advanced Decision Handling, Inc. Highly automated agricultural production system
WO2001033505A2 (fr) * 1999-11-04 2001-05-10 Monsanto Company Modele multivariable destine a identifier des zones de reaction de culture dans un champ
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 (fr) * 2015-03-25 2016-09-29 360 Yield Center, Llc Systèmes, procédés et appareils agronomiques
WO2016183000A1 (fr) * 2015-05-12 2016-11-17 BioSensing Systems, LLC Appareils et procédés de biodétection à l'aide de véhicules aériens sans pilote

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KR101536095B1 (ko) * 2015-01-14 2015-07-13 농업회사법인 주식회사 에이치알제주 무인 비행체를 이용한 산지 생태 축산의 방목형 목장 운용 및 관리 시스템
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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 (fr) * 1999-11-04 2001-05-10 Monsanto Company Modele multivariable destine a identifier des zones de reaction de culture dans un champ
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 (fr) * 2015-03-25 2016-09-29 360 Yield Center, Llc Systèmes, procédés et appareils agronomiques
WO2016183000A1 (fr) * 2015-05-12 2016-11-17 BioSensing Systems, LLC Appareils et procédés de biodétection à l'aide de véhicules aériens sans pilote

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110050672A (zh) * 2019-03-22 2019-07-26 宁波工程学院 一种规模化精确灌溉方法
KR20210158538A (ko) * 2020-06-24 2021-12-31 농업회사법인 주식회사 루이팜 인공지능 기반 농업 로봇용 농경지 경작지도 생성 시스템 및 방법
KR102371433B1 (ko) 2020-06-24 2022-03-07 농업회사법인 주식회사 루이팜 인공지능 기반 농업 로봇용 농경지 경작지도 생성 시스템 및 방법

Also Published As

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

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