Computer system and computer-implemented method for optimization of crop protection

Patent metadata

Field	Value
Publication number	US-12086858-B2
Application number	US-201917285235-A
Country	US
Kind code	B2
Filing date	Oct 18, 2019
Priority date	Oct 19, 2018
Publication date	Sep 10, 2024
Grant date	Sep 10, 2024

Abstract

A system (100), method and computer program product for optimization of crop protection, for a particular crop in a particular field. The system receives a predetermined future time interval and real-time weather forecast data and can retrieve corresponding predicted target pressure data (122) representing expected biotic stress factor probabilities for said crop from a crop state prediction model. An optimizer (150) receives the predicted target pressure data (122) for one or more targets and determines an initial target pressure score for the particular field by aggregating all target pressure data in the predetermined future time interval. A protection product recommender (270) provides a plurality of product recommendations with each product recommendation including a mix of protection products suitable for treatment of the one or more targets, and each protection product having protection product characteristics (265) describing the treatment effect of the respective protection product by target. The optimizer determines further target pressure scores for a plurality of combinations of product recommendations and product application time slots by applying the respective protection product characteristics (265) to the target pressure data, and selects the combination with the target pressure score indicating the lowest expected biotic stress for the crop in the field as recommended combination.

First claim

The invention claimed is:

1. A computer-implemented method ( 1000 ) for optimizing crop protection for a particular crop grown in a particular field, the method comprising:
receiving ( 1200 ), by a computer system from a crop state prediction model ( 250 ), in relation to a predetermined future time interval, predicted target pressure data ( 122 ) for one or more targets, the predicted target pressure data representing expected biotic stress factor probabilities for said crop during the predetermined future time interval in view of real-time weather forecast data ( 210 ) for the particular field, wherein a particular biotic stress factor, referred to as a target, is one of: a disease, an animalistic pest, or a weed, affecting said crop;
determining ( 1300 ), by the computer system, an initial target pressure score for the particular field by aggregating all target pressure data in the predetermined future time interval;
retrieving ( 1400 ), by the computer system from a protection product recommender ( 270 ), a plurality of product recommendations ( 271 ) with each product recommendation including a mix of protection products suitable for treatment of the one or more targets, and each protection product having protection product characteristics ( 265 ) describing the treatment effect of the respective protection product by target, wherein the protection product characteristics ( 265 ) comprise a treatment efficiency indicator ( 261 ) by respective target describing the effect of the treatment by the respective protection product on the respective target, and at least one effective treatment period ( 262 , 263 , 264 ) by respective target;
receiving ( 1250 ) real-time diagnostic data for said crop wherein the real-time diagnostic data includes actual target pressure data estimates for at least one target being present in the field;
adjusting ( 1270 ) the corresponding received target pressure data in accordance with the at least one estimate prior to determining ( 1500 ) further target pressure scores;
determining ( 1500 ), by the computer system, for the particular field the further target pressure scores for a plurality of combinations of product recommendations and product application time slots by applying ( 630 ) the respective protection product characteristics ( 265 ) to the target pressure data;
selecting ( 1600 ), by the computer system, the combination associated with the target pressure score indicating the lowest expected biotic stress for the crop in the field as a recommended combination if the target pressure score of said combination is lower than the initial target pressure score; and
generating and transmitting, by the computer system, a control instruction to transmit to a sprayer appliance based on the recommended combination to control the sprayer appliance.

2. The method of claim 1 , wherein the at least one effective treatment period comprises one or more of the following:
a protective effect period ( 262 ) by respective target wherein the protective effect period represents a future time interval following an application of the respective protection product during which future time interval the crop stays protected against the respective target after the application of the respective protection product,
a curative effect period ( 263 ) by respective target wherein the curation effect period represents a past time interval during which past time interval the crop is retroactively protected from the application of the respective protection product against the respective target, and
an eradicative effect period ( 264 ) by respective target wherein the eradicative effect period represents a future application date for the respective protection product against the respective target, leading to a complete eradication of plant pathogens within said crop following the protection product application.

3. The method of claim 1 , wherein determining ( 1500 ) further target pressure scores for a plurality of combinations of product recommendations and product application time slots further comprises:
determining, for each combination of the plurality, non-protected time intervals per target based on the effective treatment periods of the respective protection products;
computing, based on the non-protected time intervals, an aggregate non-protected time index for each combination; and
adding the aggregate non-protected time indices to the respective target pressure scores.

4. The method of claim 1 , further comprising:
providing ( 1710 ) the selected combination as a protection product mix recommendation with product application time slots for the particular field to a farming user.

5. The method of claim 1 , further comprising:
providing ( 1720 ) the selected combination as control instruction ( 230 ) for a sprayer appliance ( 240 ) to generate a tank mix with the crop protection products of the selected combination.

6. The method of claim 1 , further comprising:
providing ( 1730 ) a ranking list with further combinations indicating potential substitute protection product mixes wherein the ranking is performed based on the respective target pressure scores to reflect an increasing non-protected time interval for the crop in the field for lower ranking combinations.

7. The method of claim 6 , further comprising:
applying ( 1800 ) the product mix of the selected combination or of a potential substitute combination to the particular field at the respective product application time slots.

8. The method of claim 7 , wherein the respective product application time slots relate to one or more days associated with a BBCH code of said crop.

9. The method of claim 1 , wherein the protection product characteristics are provided via respective time and weather dependent models.

10. A non-transitory computer-readable medium comprising instructions that when loaded into a memory of a computer system and being executed by at least one processor of the computer system cause the computer system to perform the method steps according to claim 1 .

11. A computer system ( 100 ) for optimizing crop protection for a particular crop in a particular field, the system comprising:
an interface ( 110 ) configured to receive a predetermined future time interval and real-time weather forecast data ( 210 );
an optimizer ( 150 ) configured to:
receive, from a crop state prediction model ( 250 ), predicted target pressure data ( 122 ) for one or more targets in relation to the predetermined future time interval, the predicted target pressure data ( 122 ) representing expected biotic stress factor probabilities for said crop during the predetermined future time interval in view of real-time weather forecast data ( 210 ) for the particular field, wherein a particular biotic stress factor, referred to as a target, is one of: a disease, an animalistic pest, or a weed, affecting said crop;
determine an initial target pressure score for the particular field by aggregating all target pressure data in the predetermined future time interval;
retrieve, from a protection product recommender ( 270 ), a plurality of product recommendations with each product recommendation including a mix of protection products suitable for treatment of the one or more targets, and each protection product having protection product characteristics ( 265 ) describing the treatment effect of the respective protection product by target wherein the protection product characteristics comprise a treatment efficiency indicator ( 261 ) by respective target describing the effect of the treatment by the respective protection product on the respective target, and at least one effective treatment period ( 262 , 263 , 264 ) by respective tar

Assignees

• Basf Se

Inventors

• Stenzel Klaus
• Seitz Maximilian
• Nachtmann Matthias

Classifications

• G06Q50/02

  Agriculture; Fishing; Forestry; Mining · CPC title

• G06Q30/0282

  Rating or review of business operators or products · CPC title

• G06Q10/063

  Operations research, analysis or management · CPC title

• G06Q10/04

  Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" (market predictions or forecasting for commercial activities G06Q30/0202) · CPC title

• G01W1/10

  Devices for predicting weather conditions (computers per se G06; display devices G09) · CPC title