US 12,086,858 B2
Computer system and computer-implemented method for optimization of crop protection
Klaus Stenzel, Ludwigshafen (DE); Maximilian Seitz, Limburgerhof (DE); and Matthias Nachtmann, Limburgerhof (DE)
Assigned to BASF SE, Ludwigshafen Am Rhein (DE)
Appl. No. 17/285,235
Filed by BASF SE, Ludwigshafen am Rein (DE)
PCT Filed Oct. 18, 2019, PCT No. PCT/EP2019/078388
§ 371(c)(1), (2) Date Apr. 14, 2021,
PCT Pub. No. WO2020/079231, PCT Pub. Date Apr. 23, 2020.
Claims priority of application No. 18201551 (EP), filed on Oct. 19, 2018.
Prior Publication US 2021/0398190 A1, Dec. 23, 2021
Int. Cl. G06Q 30/00 (2023.01); A01B 79/00 (2006.01); G01W 1/10 (2006.01); G06Q 10/04 (2023.01); G06Q 10/063 (2023.01); G06Q 30/0282 (2023.01); G06Q 30/0601 (2023.01); G06Q 50/02 (2012.01)
CPC G06Q 30/0631 (2013.01) [A01B 79/005 (2013.01); G01W 1/10 (2013.01); G06Q 10/04 (2013.01); G06Q 10/063 (2013.01); G06Q 30/0282 (2013.01); G06Q 50/02 (2013.01)] 14 Claims
OG exemplary drawing
 
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.