GB2603383A - A decision support system and method for agriculture - Google Patents
A decision support system and method for agriculture Download PDFInfo
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- GB2603383A GB2603383A GB2204895.3A GB202204895A GB2603383A GB 2603383 A GB2603383 A GB 2603383A GB 202204895 A GB202204895 A GB 202204895A GB 2603383 A GB2603383 A GB 2603383A
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- 238000000034 method Methods 0.000 title claims abstract 13
- 239000002689 soil Substances 0.000 claims abstract 17
- 230000000694 effects Effects 0.000 claims abstract 7
- 238000003306 harvesting Methods 0.000 claims abstract 3
- 238000010899 nucleation Methods 0.000 claims abstract 3
- 238000012876 topography Methods 0.000 claims abstract 3
- 230000002123 temporal effect Effects 0.000 claims 8
- 238000005259 measurement Methods 0.000 claims 4
- 230000001174 ascending effect Effects 0.000 claims 2
- 238000011156 evaluation Methods 0.000 claims 2
- 235000020779 micronutrient status Nutrition 0.000 claims 2
- 235000003715 nutritional status Nutrition 0.000 claims 2
- 238000005507 spraying Methods 0.000 claims 2
- 230000002159 abnormal effect Effects 0.000 claims 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06Q10/00—Administration; Management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0635—Risk analysis of enterprise or organisation activities
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
- G06Q10/00—Administration; Management
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/083—Shipping
- G06Q10/0838—Historical data
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR 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
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
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- Business, Economics & Management (AREA)
- Engineering & Computer Science (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Theoretical Computer Science (AREA)
- General Business, Economics & Management (AREA)
- Entrepreneurship & Innovation (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Development Economics (AREA)
- Game Theory and Decision Science (AREA)
- General Health & Medical Sciences (AREA)
- Marine Sciences & Fisheries (AREA)
- Life Sciences & Earth Sciences (AREA)
- Mining & Mineral Resources (AREA)
- Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Animal Husbandry (AREA)
- Educational Administration (AREA)
- Agronomy & Crop Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
A decision support system and method for agriculture which provides advisories/recommendations to farmers on whether to undertake or not to undertake an agricultural activity such as seeding, harvesting etc. The advisories and recommendations can be based on prediction of hyper-local weather parameters where the predicted weather parameters are based on received meteorological sensor data with corresponding confidence coefficients and weather prediction data. In a further embodiment the advisories and recommendations can use discovered and received data representative of soil, topography and/or yield data.
Claims (21)
1. A computer-implemented method for a decision support system for agriculture, comprising: a) discovering and receiving meteorological sensor data from a plurality of weather stations located in and around a geographical area; determining a confidence parameter for each measurement in said meteorological sensor data; b) discovering and receiving predicted weather data comprising weather predictions for said geographical area from one or more weather prediction servers; c) storing said meteorological sensor data along with corresponding confidence parameters and said predicted weather data in a temporal database; d) generating a plurality of weather predictions for said geographical area using a plurality of weather prediction models, where said weather prediction models predict the weather based on present and past received meteorological sensor data and the corresponding confidence parameters associated with each measurement in said received present and past meteorological sensor data; e) continuously evaluating performance of each of weather predictions received in step a) and generated in step d) for said geographical area based on a deviation of each of predicted weather parameters of each of weather predictions with the meteorological sensor data; f) based on said performance evaluation, predicting each weather parameter for said geographical location by: providing a predicted weather parameter of a weather prediction selected from a plurality of weather predictions received in step a) or generated in step d), where the selection of the weather prediction has a minimum deviation from the meteorological sensor data for a predetermined temporal range for said predicted weather parameter; or providing a weighted predicted weather parameter from â nâ weather predictions selected from a plurality of weather predictions received in step a) or generated in step d), where the selection of â nâ weather predictions are ranked in ascending order by their deviation from the meteorological sensor data for a predetermined temporal range for said predicted weather parameter, where the weight assigned to each weather prediction is based on said rank and where said selected â nâ weather predictions have similar evaluated performance. g) generating an advisory for one or more agricultural activities based on said prediction of weather parameters.
2. The method of claim 1 , where â nâ is two.
3. The method of any preceding claim wherein the step of determining the confidence parameter further comprises discovering and receiving data representative of soil, topography and/or yield data and determining the confidence parameter based on said soil and/or yield data.
4. The method of claim 3 wherein the soil and/or yield data is obtained from one or more soil sensors configured to provide at least one of soil temperature, soil moisture, hydro-conductivity, texture, pH or nutrient status or micronutrient status.
5. The method of any preceding claim wherein the confidence parameter is determined based on one or more of: divergence between historical weather parameters for said geographical area and measured weather parameters received from a weather station located in said geographical area on the same day of the year and time of day in the past years; abrupt change in received measured weather parameters from said weather station within a predetermined temporal window for said geographical location; divergence between weather parameters measured in said geographical location and weather parameters measured in geographical locations adjoining said geographical location, where the weather parameters measured in geographical locations adjoining said geographical location are adjusted for change in geological factor and where the divergence between weather parameters measured in said geographical location and weather parameters measured in geographical locations adjoining said geographical location is weighted based on the distance between said geographical location and said adjoining geographical locations; divergence between: difference of weather parameters measured in said geographical location and weather parameters predicted in said geographical location; and difference of weather parameters measured in geographical locations adjoining said geographical location and predicted weather parameters in geographical locations adjoining said geographical location; and, statistical occurrence of previous inaccuracies in measured weather parameters received from said weather station.
6. The method of any preceding claim, wherein said generation of the advisory for one or more agricultural activities is further based on ground impact factor, wherein said factor being derived from a model comprising information on soil moisture, flooding risk, soil hydro-connectivity and texture and topology of said geographical area.
7. The method of any preceding claim, wherein said geographical area has a radius of less than 5 kilometres by default, or a user specified area represented by a polygon of normal or abnormal shape .
8. The method of any preceding claim, wherein prediction of weather parameters comprises prediction of weather parameters for said geographical area in the following 1 hour to 6 hours.
9. The method of any preceding claim, wherein weather parameters comprises rainfall, temperature, relative humidity and average wind speed.
10. The method of any preceding claim, wherein said one or more agricultural activities comprises spraying, seeding, fertilizing, and harvesting .
11. A decision support system for agriculture, comprising at least a processor operatively coupled to a memory, and a transceiver; one or more weather prediction servers, one or more weather stations operatively coupled to said processor via said transceiver; said memory storing a plurality of weather prediction models and computer-readable instructions to cause the processor to: a) receive meteorological sensor data from said plurality of weather stations located in and around a geographical area; determine confidence parameter for each measurement in said meteorological sensor data; b) receive predicted weather data comprising weather predictions for said geographical area from said one or more weather prediction servers; c) store said meteorological sensor data along with corresponding confidence parameters and said predicted weather data in a temporal database stored in said memory; d) generate a plurality of weather predictions for said geographical area using a plurality of weather prediction models, where said weather prediction models predict the weather based on present and past received meteorological sensor data and the corresponding confidence parameters associated with each measurement in said received present and past meteorological sensor data; e) continuously evaluate performance of each of weather predictions received in step a) and generated in step d) for said geographical area based on a deviation of each of predicted weather parameters of each of weather predictions with the meteorological sensor data; f) based on said performance evaluation, predict each weather parameter for said geographical location by: providing a predicted weather parameter of a weather prediction selected from a plurality of weather predictions received in a) or generated in d), where the selection of the weather prediction has a minimum deviation from the meteorological sensor data for a predetermined temporal range for said predicted weather parameter; or providing a weighted predicted weather parameter from â nâ weather predictions selected from a plurality of weather predictions received in step a) or generated in step d), where the selection of â nâ weather predictions are ranked in ascending order by their deviation from the meteorological sensor data for a predetermined temporal range for said predicted weather parameter, where the weight assigned to each weather prediction is based on said rank and where said selected â nâ weather predictions have similar evaluated performance. g) generate an advisory for one or more agricultural activities based on said prediction of weather parameters.
12. The system of claim 11 , where â nâ is two.
13. The system of claims 11 or 12 wherein the step of determining the confidence parameter further comprises discovering and receiving data representative of soil, topography and/or yield data and determining the confidence parameter based on said soil and/or yield data.
14. The system of claim 13 wherein the soil and/or yield data comprises is obtained from one or more soil sensors configured to provide at least one of soil temperature, soil moisture, hydro-conductivity, texture, pH or nutrient status or micronutrient status.
15. The system of any of claims 11 to 14 wherein the confidence parameter is determined based on one or more of: divergence between historical weather parameters for said geographical area and measured weather parameters received from a weather station located in said geographical area on the same day of the year and time of day in the past years; abrupt change in received measured weather parameters from said weather station within a predetermined temporal window for said geographical location; divergence between weather parameters measured in said geographical location and weather parameters measured in geographical locations adjoining said geographical location, where the weather parameters measured in geographical locations adjoining said geographical location are adjusted for change in geological factor and where the divergence between weather parameters measured in said geographical location and weather parameters measured in geographical locations adjoining said geographical location is weighted based on the distance between said geographical location and said adjoining geographical locations; divergence between: difference of weather parameters measured in said geographical location and weather parameters predicted in said geographical location; and difference of weather parameters measured in geographical locations adjoining said geographical location and predicted weather parameters in geographical locations adjoining said geographical location; and, statistical occurrence of previous inaccuracies in measured weather parameters received from said weather station.
16. The system of any of claims claim 11 to 16, wherein said generation of the advisory for one or more agricultural activities is further based on ground impact factor, wherein said factor being derived from a model comprising information on soil moisture, flooding risk, soil hydro-connectivity and texture and topology of said geographical area.
17. The system of any of claims 11 to 16, wherein said geographical area has a radius of less than 5 kilometres.
18. The system of any of claims 11 to 17, wherein prediction of weather parameters comprises prediction of weather parameters for said geographical area in the following 1 hour to 6 hours .
19. The system of any of claims 11 to 18, wherein weather parameters comprises rainfall, temperature, relative humidity and average wind speed.
20. The system of any of claims 11 to 19, wherein said one or more agricultural activities comprises spraying, seeding, fertilizing, and harvesting.
21. A computer-readable medium having stored thereon computer-readable instructions for carrying out the method of any of claims 1-10.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| EP19197865 | 2019-09-17 | ||
| PCT/EP2020/076052 WO2021053118A1 (en) | 2019-09-17 | 2020-09-17 | A decision support system and method for agriculture |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| GB202204895D0 GB202204895D0 (en) | 2022-05-18 |
| GB2603383A true GB2603383A (en) | 2022-08-03 |
Family
ID=68051605
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| GB2204895.3A Pending GB2603383A (en) | 2019-09-17 | 2020-09-17 | A decision support system and method for agriculture |
Country Status (2)
| Country | Link |
|---|---|
| GB (1) | GB2603383A (en) |
| WO (1) | WO2021053118A1 (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113435049B (en) * | 2021-06-30 | 2022-05-03 | 国能大渡河大数据服务有限公司 | Rainfall equipment fault analysis system based on logistic regression |
| CN113742818B (en) * | 2021-08-12 | 2022-07-01 | 中交第四航务工程勘察设计院有限公司 | Multi-factor composite early warning and forecasting method for municipal road water accumulation |
| CN113807750B (en) * | 2021-11-19 | 2023-04-07 | 中国气象局公共气象服务中心(国家预警信息发布中心) | Service decision device and method based on environment elements |
| CN117074869B (en) * | 2023-10-16 | 2023-12-19 | 盛隆电气集团有限公司 | Distribution line fault positioning method and system |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015017676A1 (en) * | 2013-07-31 | 2015-02-05 | Locator Ip, Lp | System and method for gaming and hedging weather |
| US20170061050A1 (en) * | 2015-01-23 | 2017-03-02 | Iteris, Inc. | Modeling of time-variant threshability due to interactions between a crop in a field and atmospheric and soil conditions for prediction of daily opportunity windows for harvest operations using field-level diagnosis and prediction of weather conditions and observations and recent input of harvest condition states |
| US20190254242A1 (en) * | 2016-11-02 | 2019-08-22 | The Yield Technology Solutions Pty Ltd | Controlling agricultural production areas |
-
2020
- 2020-09-17 WO PCT/EP2020/076052 patent/WO2021053118A1/en active Application Filing
- 2020-09-17 GB GB2204895.3A patent/GB2603383A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2015017676A1 (en) * | 2013-07-31 | 2015-02-05 | Locator Ip, Lp | System and method for gaming and hedging weather |
| US20170061050A1 (en) * | 2015-01-23 | 2017-03-02 | Iteris, Inc. | Modeling of time-variant threshability due to interactions between a crop in a field and atmospheric and soil conditions for prediction of daily opportunity windows for harvest operations using field-level diagnosis and prediction of weather conditions and observations and recent input of harvest condition states |
| US20190254242A1 (en) * | 2016-11-02 | 2019-08-22 | The Yield Technology Solutions Pty Ltd | Controlling agricultural production areas |
Also Published As
| Publication number | Publication date |
|---|---|
| GB202204895D0 (en) | 2022-05-18 |
| WO2021053118A1 (en) | 2021-03-25 |
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