公开(公告)号：US20240169721A1

公开(公告)日：2024-05-23

申请号：US18283633

申请日：2022-03-31

Applicant: BASF AGRO TRADEMARKS GMBH

Inventor： Mojtaba KARAMI ,  Sayan MUKHOPADHAYA ,  Damon RAEIS-DANA ,  Nicolas WERNER ,  Fabian Johannes SCHAEFER ,  Jeffrey Thomas SPENCER

IPC: G06V20/10 ,  A01B79/00 ,  G06V10/70 ,  G06V20/13

CPC classification number: G06V20/188 ,  A01B79/005 ,  G06V10/70 ,  G06V20/13

Abstract: Computer-implemented method for providing corrected plant-related index data, comprising the steps of: providing initial plant-related index data for an agricultural field, preferably based on at least one satellite image; and correcting the initial plant-related index data for the agricultural field at least based on historical plant-related index data for the agricultural field and providing corrected plant-related index data.

公开(公告)号：US20250104230A1

公开(公告)日：2025-03-27

申请号：US18832403

申请日：2023-01-27

Applicant: BASF AGRO TRADEMARKS GMBH

Inventor： Priyamvada SHANKAR ,  Sayan MUKHOPADHAYA

IPC: G06T7/00 ,  A01G7/06 ,  B64G1/10

Abstract: The present invention relates to an plant disease detection at onset stage. Provided is a computer-implemented method for determining an onset and/or onset time of a plant (12) disease in agriculture. The method comprises providing (S110) first data including field data (14) associated with the plant's cultivation and weather data (16) associated with a location where said plant is cultivated to a computer model (20). The method further comprises determining (S120), by using said computer model (20), a plant disease presence prediction for said plant and its infestation with said plant disease and determining, from said computer model (20) output including said plant disease presence prediction and second data (18) including one or more vegetation indices associated with said plant, the onset and/or onset time to which said plant disease is expected to onset at said plant, by using the plant disease presence prediction and a change in the one or more vegetation indices.