[go: up one dir, main page]

WO2008010234A2 - Procédé d'analyse sur site - Google Patents

Procédé d'analyse sur site Download PDF

Info

Publication number
WO2008010234A2
WO2008010234A2 PCT/IN2007/000292 IN2007000292W WO2008010234A2 WO 2008010234 A2 WO2008010234 A2 WO 2008010234A2 IN 2007000292 W IN2007000292 W IN 2007000292W WO 2008010234 A2 WO2008010234 A2 WO 2008010234A2
Authority
WO
WIPO (PCT)
Prior art keywords
data
information
problem solving
identification
farm
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/IN2007/000292
Other languages
English (en)
Other versions
WO2008010234A3 (fr
Inventor
Krishna Reddy Polepalli
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.)
MEDIA LAB ASIA
International Institute of Information Technology Hyderabad
Original Assignee
MEDIA LAB ASIA
International Institute of Information Technology Hyderabad
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 MEDIA LAB ASIA, International Institute of Information Technology Hyderabad filed Critical MEDIA LAB ASIA
Publication of WO2008010234A2 publication Critical patent/WO2008010234A2/fr
Publication of WO2008010234A3 publication Critical patent/WO2008010234A3/fr
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

Definitions

  • This invention relates to a method and system for analyzing and evaluating at least one agricultural product or at least one horticultural product or at least one of the farm animals and fisheries at single or multiple geographic regions or areas and applications thereof.
  • the present invention relates to a method of analyzing at least one agricultural product or at least one horticultural product or at least one of the farm animals and fisheries at single or multiple geographic regions or areas.
  • the present invention also relates to a cost - effective method of identifying, characterizing and/ or evaluating the pathological conditions and the performance parameters of the agricultural product, horticultural product, farm animals or fisheries at single or multiple locations and transmission of the prophylactic measures in a digital form.
  • the present invention relates to a personalized method and system of evaluating substrate performance by characterization of the impact of variables from different geographic regions or areas.
  • the status of the substrate is examined and input information is transmitted using online or offline means of communication and/ or transportation.
  • This input information is processed and a prescription is made available for the end user at different geographic regions or areas consistent with the obtained input information.
  • Patent No. 1 ,409,251 discloses an information management system for agriculture and aquaculture for gathering data from producers;
  • Patent No. 1 ,302,033 discloses method for field culture information collecting, processing and analyzing;
  • U.S. Patent No. 6,995,675 discloses a method and system for agricultural data collection and management and
  • U.S. Patent No. 6,751 ,576 discloses a method of characterizing an agricultural product at a location and analysis system.
  • the end user's typical objective is to increase yield as fast as possible, while keeping the substrates healthy and free of disease.
  • end users are typically not aware of the problems of their substrates.
  • problems faced by the end users are multifarious and individualistic in nature due to the difference in variables at different geographical locations, and varying past histories of the substrates as well as farms, fields, pastures and the like.
  • the input information from each end user is recorded. This input information is evaluated and characterized by plant and/or animal experts and an output information consistent with the data is transmitted digitally at single or multiple geographic regions or areas.
  • a cluster based approach is used in which the input information is collected, transferred and shared in a substrate oriented, subject oriented, event - oriented, transactional and row-oriented structure with columns.
  • the input information is segregated in the form of different fields or events with gradations indicating severity of the pathological condition of each subject from a group of substrates.
  • the output information is provided in the same event - oriented, transactional and row-oriented structure with columns. This helps in establishing a faster and cost- effective means of delivery of output information wherein the output information for one subject can be used for one or more subjects from the same group of substrates having the same degree of severity of the pathological condition.
  • An object of the present invention is to provide improved system of data collection, management and feedback.
  • the relevant arts have used data collection systems and statistical analysis of data in order to identify higher performance and yields. There is a need to extend this data collection so that individual growers or producers can make informed decisions about individual substrates in order to further improve their yields.
  • the existing agricultural extension systems or information delivery systems include print media, electronic media, radio, telephone, field visits, farmers meetings, farmers visiting agricultural research stations etc.
  • the agricultural information is disseminated in a generalized manner by considering that entire region (district or state) is facing the same problem.
  • the information disseminated is not actionable as the farmer is unable to match his/her farm situation with the information provided.
  • the agri-experts provide answers to farmers' problems received through telephone, but the system is not scalable.
  • eSagu is a tool for IT-based personalized Agro-Advisory system.
  • Sagu means cultivation in Telugu language). It aims to improve farm productivity by delivering high quality personalized (farm-specific) agro-expert advice in a timely and continuous manner to each farm at the farmer's door-steps without farmer asking a question.
  • the advice is provided on a regular basis (typically once a week) from sowing to harvesting which reduces the cost of cultivation and increases the farm productivity as well as quality of agri- commodities.
  • IT database, Internet, and digital photography
  • the eSagu system offers the next generation agro-advisory tool.
  • Fig. 1 is a block diagram of a substrate evaluation system in which input information is transmitted via a means of communication and/ or transportation to obtain the output information for the user.
  • Fig. 2 is one embodiment of a method for evaluating the performance of a substrate in accordance with the invention.
  • e-Sagu rather than visiting the crop in person, the agricultural scientist -delivers the expert advice by getting the crop status in the form of digital photographs and other information.
  • the description of eSagu is as follows ( Figure 1): The farmers are the end users of the system and can be illiterate. A coordinator is an educated and experienced farmer who is stationed in the village. Each coordinator is attached to eSagu local center which contains few computers and a computer operator. Agricultural Experts possess a university degree in agriculture and are qualified to provide expert advice. Agricultural Information System is a computer based information system that contains all the related data. Communication system is a mechanism to transmit information from farms to agricultural experts and vice versa. If enough bandwidth is not available, photographs from the village to the main system can be transmitted through courier service. However, the advices (text) can be transmitted from the main system to the local center through dial-up Internet connection.
  • eSagu The operation of eSagu is as follows, A team of agriculture experts work at the eSagu (main) lab (normally in a city) supported by agricultural information system.
  • One eSagu local center (few computers and one computer operator) is established for a group of about ten villages. Educated and experienced farmers (who are from the villages) work as coordinators. Depending on the crop, each coordinator is assigned with a fixed number of farms. The coordinator collects the registration details of the farms under him including soil data, water resources, and capital availability and sends the information to the main eSagu system. Every day, the coordinator visits a fixed number of farms and takes four to five photographs for each farm. A CD is prepared with the photographs and other information and transported to the main system by a regular courier service.
  • the Agricultural experts, with diverse background (Entomology, Pathology, Agronomy%) at the eSagu (main) lab analyze the crop situation with respect to soil, weather and other agronomic practices and prepare a farm specific advice.
  • the advice is downloaded electronically through a dial-up Internet connection.
  • the coordinator collects the advice prints out and delivers it to the concerned farmer. In this way each farm gets the proactive advice at regular intervals starting from pre-sowing operations to post-harvest precautions.
  • the present invention relates to a method of analyzing at least one agricultural product or at least one horticultural product or at least one of the farm animals and fisheries at single or multiple geographic regions or areas.
  • the present invention also relates to a cost - effective method of identifying, characterizing and/ or evaluating the pathological conditions and the performance parameters of the agricultural product, horticultural product, farm animals or fisheries at single or multiple locations and transmission of the prophylactic measures in a digital form.
  • the present invention relates to a personalized method and system of evaluating substrate performance by characterization of the impact of variables from different geographic regions or areas.
  • the status of the substrate is examined and input information is transmitted using online or offline means of communication and/ or transportation.
  • This input information is processed and a prescription is made available for the end user at different geographic regions or areas consistent with the obtained input information.
  • substrate refers to at least one agricultural product or at least one horticultural product or at least one of the farm animals and fisheries.
  • input information refers to the data pertaining to the status of substrate comprising of identification information of the substrate, information relating to variables influencing the substrate yield and/ or performance, photographs of the substrate, feedback information pertaining to compliance or non compliance with the prophylactic measures and the like.
  • output information refers to the ' data pertaining to the prophylactic measure being transmitted after evaluation of the input information.
  • variables influencing the substrate yjeld such as agricultural products and/oLhorticultural products include but are not limited to past history of the farm, soil type and characteristics, water content of the soil, pH of the soil, rainfall, humidity, • temperature, time of sowing and/ or time of planting, time of harvesting, chemical application information, availability of capital with the end user and the like.
  • variables influencing the substrate yield such as aqua cultural products and/or animal husbandry include but are not limited to oxygen content of water, pH of water, humidity, temperature, performance of various pastures, weight of the animal, tracking the genetic history of each animal, animals with a good calving history, evaluating the performance of calves from particular animals, the weaning date and weaning weight of each animal, calf birth date and birth weight statistics, medications, treatments, time and interval between vaccinations, availability of capital with the end user and the like.
  • end user refers to an individual or a legal entity having possession of the substrate.
  • analysis and examination of the substrate can be done by digital transmission of data pertaining to the status of substrate comprising of identification information of the substrate, information relating to variables influencing the substrate yield and/ or performance, photographs of the substrate, feedback information pertaining to compliance or non compliance with the prophylactic measures and the like, wherein the transmission of the input information is carried out using online or offline means of communication and/ or transportation.
  • the status of the substrate is transmitted from single or multiple geographic regions or areas in a digital form to single or multiple locations, where the pathological condition and/ or performance parameter of the substrate is characterized and evaluated and the prophylactic measure is transmitted in a digital form.
  • analysis and examination of the substrate is performed by digital transmission of the input information relating to the substrate.
  • This information is transmitted to single or multiple locations whereby plant and/ or animal experts access the input information.
  • the data in the input information is evaluated and characterized and an output information consistent with the data is transmitted digitally at single or multiple geographic regions or areas.
  • Various online and offline means of communication and/or transmission of input information and output information can be used. These include but are not limited to internet, multi media messaging service, short messaging service, text messaging, storage and transport of the data using and offline means of communication and/ or transport and the like.
  • the data may optionally be stored in a data storage device and transmitted and/ or transported.
  • the input information can be by collected and shared by any technique known to persons skilled in the art of data management such as but not limited to tabular form of data sharing, pictorial representations of data, spreadsheets, bar charts, frequency distribution charts, Venn diagrams and the like.
  • the input information is collected, transferred and shared in a substrate oriented, subject oriented, event - oriented, transactional and row-oriented structure with columns.
  • the input information is segregated in the form of different fields or events with gradations indicating severity of the pathological condition of the subject.
  • the output information is provided in the same event - oriented, transactional and row-oriented structure with columns.
  • the output information which is provided in the substrate oriented, subject oriented, event - oriented, transactional and row- oriented structure with columns is used for addressing multiple inputs from single or multiple geographic regions or areas.
  • the same output information is applicable for same subjects from a group of substrates having the same degree of severity of the pathological condition, (e.g. tomato plants suffering from mild blight disease can be treated in same manner).
  • Example 1 Transmission of input data and obtaining output data
  • Fig. 1 illustrates a block diagram for substrate evaluation system in which input information was transmitted via a means of communication and/ or transportation to obtain the output information for the user.
  • identification parameters of the individual plant or animal were recorded on a log sheet and coded.
  • the data relating to weather, climatic and other physical variables as described in the invention was also recorded.
  • Digital photographs of various plants or animals (subjects) from a group of substrates were recorded (e.g. cotton plants formed single subject from Kharif crops which was a substrate group of agricultural plants). These photographs and data details were recorded on a compact disc and transported to agricultural and/ or animal experts.
  • the plant and/ or animal experts characterized and evaluated the information and prescribed a suitable prophylactic advice for the input.information.
  • This output information from the plant and/ or animal expert was retrieved via an online internet connection and delivered to the end user.
  • Example 2 A paper based embodiment
  • Fig. 2 illustrates a paper-based embodiment for evaluating the performance of a substrate.
  • the subject was visually observed and the pathological condition was identified.
  • the pathological condition on the basis of its severity of occurance was graded on a log sheet which had substrate oriented- subject oriented, event - oriented, transactional and row- oriented structure with columns.
  • the gradation of the degree of severity of the pathological condition was indicated against the particular subject as either low, medium or high degree of occurance. Same subjects from a group of substrates having similar degree of severity of pathological condition were given same grading.
  • This input information was recorded on a compact disc and transported to agricultural and/ or animal experts. The plant and/ or animal experts characterized and evaluated the input information.

Landscapes

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

Abstract

eSagu est un outil destiné à un système de conseil en agriculture personnalisé basé sur les TI ('sagu' signifie 'culture' en telugu). Il vise à améliorer la productivité de la ferme par fourniture rapide et continue d'un conseil personnalisé spécialisé en agriculture (spécifique pour la ferme) de haute qualité pour chaque ferme directement chez le fermier, aucune question n'étant posée par le fermier. Le conseil spécialisé est fourni à intervalles réguliers pour chaque ferme, du pré-semis à la post-récolte.
PCT/IN2007/000292 2006-07-17 2007-07-17 Procédé d'analyse sur site Ceased WO2008010234A2 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
IN1244/CHE/2006 2006-07-17
IN1244CH2006 2006-07-17

Publications (2)

Publication Number Publication Date
WO2008010234A2 true WO2008010234A2 (fr) 2008-01-24
WO2008010234A3 WO2008010234A3 (fr) 2008-05-02

Family

ID=38957203

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/IN2007/000292 Ceased WO2008010234A2 (fr) 2006-07-17 2007-07-17 Procédé d'analyse sur site

Country Status (1)

Country Link
WO (1) WO2008010234A2 (fr)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012519951A (ja) * 2009-03-06 2012-08-30 カール・ツァイス・エスエムティー・ゲーエムベーハー マイクロリソグラフィ用の照明光学系及び光学系

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7167834B1 (en) * 1999-08-13 2007-01-23 Kelly Registration Systems, Inc. Garden and agricultural material identification method and apparatus
CA2325677A1 (fr) * 1999-11-10 2001-05-10 Mark Morrish Systeme permettant de fournir aux jardiniers des renseignements sur l'entretien au bon moment de leurs propres jardins
JP2001344381A (ja) * 2000-05-31 2001-12-14 Futaba Corp 農園情報収集・管理システム
KR20040079618A (ko) * 2003-03-08 2004-09-16 강재용 네트워크에 의한 식물 관리시스템 및 방법
JP2006178916A (ja) * 2004-12-24 2006-07-06 Yuki Noho Fukyukai:Kk 会員制農業支援システム及び会員制農業支援方法

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2012519951A (ja) * 2009-03-06 2012-08-30 カール・ツァイス・エスエムティー・ゲーエムベーハー マイクロリソグラフィ用の照明光学系及び光学系
KR101478400B1 (ko) * 2009-03-06 2015-01-06 칼 짜이스 에스엠티 게엠베하 조명 광학 시스템 및 마이크로리소그래피용 광학 시스템

Also Published As

Publication number Publication date
WO2008010234A3 (fr) 2008-05-02

Similar Documents

Publication Publication Date Title
Lowenberg‐DeBoer et al. Setting the record straight on precision agriculture adoption
AlZubi et al. Artificial intelligence and internet of things for sustainable farming and smart agriculture
Reddy et al. A framework of information technology-based agriculture information dissemination system to improve crop productivity
Scheper et al. Biodiversity and pollination benefits trade off against profit in an intensive farming system
Hellerstein et al. Land use, land cover, and pollinator health: A review and trend analysis
AU2002243737B2 (en) Method for pest management and crop certification utilizing network accessible database
US20020082982A1 (en) Crop integrity auditing and reporting system and method
AU2002243737A1 (en) Method for pest management and crop certification utilizing network accessible database
Hostiou et al. Relationships between work organisation and size of dairy farms: a case study based in Vietnam
Trogo et al. SMS-based smarter agriculture decision support system for yellow corn farmers in Isabela
US20120226517A1 (en) System and Methods for Communicating Mediated Knowledge
Ogorodnikov et al. Digital Transformation of the Agricultural Industry: Tasks and Prospects of Digitalization of Russian Organizations
Kanter et al. Top management challenges and concerns for agronomic crop production in California: Identifying critical issues for extension through needs assessment
Narasegouda A decade survey on internet of things in agriculture
Boakye Estimating agriculture technologies’ impact on maize yield in rural South Africa
Kumar et al. Data analytics in agriculture: Predictive models and real‐time decision‐making
Runowski et al. Trust in artificial intelligence in agriculture
WO2008010234A2 (fr) Procédé d'analyse sur site
Sahoo et al. Enhancing efficiency in livestock monitoring and management with IoT solutions’
Siddegowda et al. A study on the role of precision agriculture in agro-industry
Gillespie et al. Structure, Costs, and Technology Used on US Dairy Farms
Uddin Factors influencing adoption and adoption intensity of precision agriculture technologies in South Dakota
Kumar et al. International Journal of Current Microbiology and Applied Sciences
AU2019100835A4 (en) A mixed farming management tool
Lyons et al. Current and future adoption of milking related technologies on Australian and New Zealand dairy farms

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: 07827520

Country of ref document: EP

Kind code of ref document: A2

NENP Non-entry into the national phase

Ref country code: DE

NENP Non-entry into the national phase

Ref country code: RU

122 Ep: pct application non-entry in european phase

Ref document number: 07827520

Country of ref document: EP

Kind code of ref document: A2