JOHANNESSON, Gardar,TERRES, Maria,LADONI, Moslem,CARRION, Carlos,CIZEK, Nicholas,LUTZ, Brian,LEMOS, Ricardo,DELANEY, James
申请号：
USUS2019/067870
公开号：
WO2020/132453A1
申请日:
2019.12.20
申请国别(地区):
US
年份:
2020
代理人:
摘要：
Systems and methods for utilizing a spatial statistical model to maximize efficacy in performing trials on agronomic fields are disclosed herein. In an embodiment, a system receives first yield data for a first portion of an agronomic field, the first portion of the agronomic field having received a first treatment, and second yield data, for a second portion of the agronomic field, the second portion of the agronomic field having received a second treatment that is different than the first treatment. The system uses a spatial statistical model and the first yield data to compute a yield value for the second portion of the agronomic field, the yield value indicating an agronomic yield for the second portion of the agronomic field if the second portion of the agronomic field had received the first treatment instead of the second treatment. Based on the computed yield value and the second yield data, the system selects the second treatment. In an embodiment, in response to selecting the second treatment, the system generates a prescription map, the prescription map including the second treatment. The system may also generate one or more scripts which, when executed by an application controller, cause the application controller to control an operating parameter of an agricultural implement to apply the second treatmentLa présente invention concerne des systèmes et des procédés d'utilisation d'un modèle statistique spatial pour maximiser l'efficacité dans la réalisation d'essais sur des champs agronomiques. Dans un mode de réalisation, un système reçoit des premières données de rendement pour une première partie d'un champ agronomique, la première partie du champ agronomique ayant reçu un premier traitement, et des secondes données de rendement, pour une seconde partie du champ agronomique, la seconde partie du champ agronomique ayant reçu un second traitement qui est différent du premier traitement. Le système utilise un modèle statistique spatial et les premières donn
