NZ753738A - Controlling agricultural production areas - Google Patents
Controlling agricultural production areasInfo
- Publication number
- NZ753738A NZ753738A NZ753738A NZ75373817A NZ753738A NZ 753738 A NZ753738 A NZ 753738A NZ 753738 A NZ753738 A NZ 753738A NZ 75373817 A NZ75373817 A NZ 75373817A NZ 753738 A NZ753738 A NZ 753738A
- Authority
- NZ
- New Zealand
- Prior art keywords
- area
- prediction
- sensor data
- meteorological
- local
- Prior art date
Links
- 238000012271 agricultural production Methods 0.000 title claims abstract 19
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims abstract 11
- 238000003973 irrigation Methods 0.000 claims abstract 5
- 230000002262 irrigation Effects 0.000 claims abstract 5
- 238000000034 method Methods 0.000 claims 25
- 230000001276 controlling effect Effects 0.000 claims 9
- 230000006735 deficit Effects 0.000 claims 4
- 238000003306 harvesting Methods 0.000 claims 1
- 230000008635 plant growth Effects 0.000 claims 1
Classifications
-
- 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
- A01G25/16—Control of watering
Landscapes
- Engineering & Computer Science (AREA)
- Water Supply & Treatment (AREA)
- Life Sciences & Earth Sciences (AREA)
- Environmental Sciences (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Agricultural Chemicals And Associated Chemicals (AREA)
- Lifting Devices For Agricultural Implements (AREA)
- Soil Working Implements (AREA)
Abstract
This disclosure relates to an irrigation system for an agricultural production area. The system receives wide-area meteorological prediction data and sensors deployed within the agricultural production area collect local-area sensor data. A processor stores received data as historical wide-area meteorological prediction data and data from the sensors as historical local-area sensor data. The processor determines a correlation between the historical wide-area meteorological prediction data and the historical local-area sensor data based on the historical wide-area meteorological prediction data and the historical local-area sensor data, and calculates a prediction on water supply relative to water demand within the agricultural production area based on current wide-area meteorological prediction data, and the calculated correlation. The irrigation actuator is then controlled based on the prediction on water supply relative to water demand to define an amount of water to be used for irrigating the agricultural production area.
Claims (25)
1. An irrigation system for an agricultural production area comprising: an irrigation actuator; a receiver for wide-area meteorological gridded prediction data; a sensor network comprising a sensor deployed within the agricultural production area to collect local-area sensor data at a respective sensor location; a processor configured to determining a correlation between historical wide-area meteorological gridded prediction data and historical local-area sensor data at a sensor location based on historical wide-area meteorological gridded prediction data for multiple meteorological parameters made at a first point in time for a second point in time and historical local- area sensor data captured at the second point in time at the sensor location, the sensor data comprising multiple sensor data parameters and the correlation being determined for each one of the multiple sensor data parameters between (i) multiple meteorological parameters and (ii) that one of the multiple sensor data parameters; receiving present wide-area meteorological gridded prediction data for the multiple meteorological parameters for a future point in time; calculating at a present point in time a prediction on the local-area sensor data for each of the multiple sensor data parameters for the future point in time based on the present wide-area meteorological gridded prediction data for the multiple meteorological parameters for the future point in time, and the correlation between the multiple meteorological parameters and that one of the multiple sensor parameters at the sensor location; calculating a prediction on water deficit using a predetermined relationship between the prediction of the local-area sensor data and the water deficit; and wherein the irrigation actuator is controlled based on the prediction on water deficit to define an amount of water to be used for irrigating the agricultural production area.
2. A computer-implemented method for controlling an agricultural production area, the method comprising performing by a processor the steps of: MARKED-UP COPY determining a correlation between historical wide-area meteorological gridded prediction data and historical local-area sensor data at a sensor location based on historical wide-area meteorological gridded prediction data for multiple meteorological parameters made at a first point in time for a second point in time and historical local- area sensor data captured at the second point in time at the sensor location, the sensor data comprising multiple sensor data parameters and the correlation being determined for each one of the multiple sensor data parameters between (i) multiple meteorological parameters and (ii) that one of the multiple sensor data parameters; receiving present wide-area meteorological gridded prediction data for the multiple meteorological parameters for a future point in time; calculating at a present point in time a prediction on the local-area sensor data for each of the multiple sensor data parameters for the future point in time based on the present wide-area meteorological gridded prediction data for the multiple meteorological parameters for the future point in time, and the correlation between the multiple meteorological parameters and that one of the multiple sensor parameters at the sensor location; calculating a prediction for an agricultural parameter using a predetermined relationship between the prediction of the local-area sensor data and the agricultural parameter; and controlling the agricultural production area based on the prediction on the agricultural parameter.
3. The method of claim 2, wherein prediction relates to at least 24 hours into the future.
4. The method of claim 2 or 3, wherein the historical wide-area meteorological gridded prediction data and the historical local-area sensor data at a point relates to at least 5 days in the past.
5. The method of claim 2, 3 or 4, wherein calculating the prediction on the local- area agricultural parameter is based on an agricultural model. MARKED-UP COPY
6. The method of claim 5, wherein the agricultural model is based on plant growth.
7. The method of claims 5 or 6, wherein the agricultural model comprises a value indicative of evapotranspiration of plants.
8. The method of claim 7, wherein the value indicative of evapotranspiration of plants is variable over time.
9. The method of any one of the claims 2 to 8, wherein historical wide-area meteorological gridded prediction data and the present wide-area meteorological gridded prediction data comprises wind data and determining the relationship and calculating the prediction is based on the wind data.
10. The method of any one the claims 2 to 9, wherein the agricultural production area comprises multiple sub-areas, there is at least one local-area sensor in each of the multiple sub-areas, and determining the relationship and calculating the prediction is performed for each of the sub-areas.
11. The method of any one of the preceding claims, wherein calculating a prediction on a local-area agricultural parameter comprises calculating a prediction of a plant state and controlling the agricultural production area is based on the plant state.
12. The method of claim 11, further comprising calculating a prediction on future local-area sensor data at a point, wherein controlling the agricultural production area is based on the predicted plant state and the future local-area sensor data at the point.
13. The method of any one of the claims 2 to 12, wherein controlling the agricultural production area comprises one or more of: MARKED-UP COPY plant; irrigate; harvest; protect; and feed.
14. The method of any one of the claims 2 to 13, further comprising creating a graphical user interface to present the prediction on the local-area agricultural parameter to a user.
15. The method of claim 14, wherein the method comprises repeating the step of calculating the prediction for multiple future times and creating the graphical user interface to present a time series of the prediction for the multiple future times.
16. The method of claim 14 or 15, wherein the graphical user interface comprises input elements to allow the user to input planned controlling actions.
17. The method of any one of claims 2 to 16, further comprising determining a suggestion for controlling the agricultural production area based on the prediction on the agricultural parameter.
18. The method of claim 17, further comprising determining a prediction on the local area sensor data based on the current wide-area meteorological gridded prediction data and the relationship between the historical wide-area meteorological gridded prediction data and the historical local-area sensor data at a point, wherein determining the suggestion is based on a predefined risk associated with local area sensor data where that risk is likely to occur and the suggestion is determined based on the prediction on the local area sensor data to reduce the risk.
19. The method of claim 17 or 18, further comprising creating a user interface to display the suggestion. MARKED-UP COPY
20. The method of any one of claims 2 to 19, wherein the local-area agricultural parameter is a water deficit or water surplus.
21. The method of any one of claims 2 to 20 wherein the prediction on the local- area agricultural parameter comprises a quality parameter indicative of a predicted quality of a produce from the agricultural production area and controlling the agricultural production area comprises optimising the quality parameter.
22. The method of claim 21, further comprising repeating the step of calculating the prediction on the quality parameter for multiple future times and creating a graphical user interface to present a time series of the prediction on the quality parameter for the multiple future times.
23. The method of claim 21 or 22, wherein the quality parameter comprises an expected shelf life.
24. Software that, when executed by a computer, causes the computer to perform the method of any one of claims 2 to 23.
25. A computer system for controlling an agricultural production area comprising: a receiver for wide-area meteorological gridded prediction data for multiple meteorological variables and local area sensor data comprising multiple sensor data variables; a processor to determine a correlation between historical wide-area meteorological gridded prediction data and historical local-area sensor data at a sensor location based on historical wide-area meteorological gridded prediction data for multiple meteorological parameters made at a first point in time for a second point in time and historical local- area sensor data captured at the second point in time at the sensor location, the sensor data comprising multiple sensor data parameters and the correlation being determined MARKED-UP COPY for each one of the multiple sensor data parameters between (i) multiple meteorological parameters and (ii) that one of the multiple sensor data parameters; receive present wide-area meteorological gridded prediction data for the multiple meteorological parameters for a future point in time; calculate at a present point in time a prediction on the local-area sensor data for each of the multiple sensor data parameters for the future point in time based on the present wide-area meteorological gridded prediction data for the multiple meteorological parameters for the future point in time, and the correlation between the multiple meteorological parameters and that one of the multiple sensor parameters at the sensor location; calculate a prediction on an agricultural parameter using a predetermined relationship between the prediction of the local-area sensor data and the agricultural parameter; and an output port to control the agricultural production area based on the prediction on the agricultural parameter.
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| AU2016904465A AU2016904465A0 (en) | 2016-11-02 | Controlling Agricultural Production Areas | |
| AU2017245290A AU2017245290B1 (en) | 2016-11-02 | 2017-10-09 | Controlling Agricultural Production Areas |
| PCT/AU2017/051194 WO2018081853A1 (en) | 2016-11-02 | 2017-10-30 | Controlling agricultural production areas |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| NZ753738A true NZ753738A (en) | 2024-01-26 |
| NZ753738B2 NZ753738B2 (en) | 2024-04-30 |
Family
ID=
Also Published As
| Publication number | Publication date |
|---|---|
| ES2946790T3 (en) | 2023-07-26 |
| AU2023203307A1 (en) | 2023-06-22 |
| WO2018081853A1 (en) | 2018-05-11 |
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