公开(公告)号：US20220383428A1

公开(公告)日：2022-12-01

申请号：US17824845

申请日：2022-05-25

Applicant: CLIMATE LLC

Inventor： Jigyasa BHAGAT ,  James DELANEY ,  Thomas EICKHOFF ,  Gardar JOHANNESSON ,  Brian LUTZ ,  Nick OCHS ,  Harish SANGIREDDY ,  Yiwen XIANG

IPC: G06Q50/02 ,  G06Q10/06 ,  G06N7/00

Abstract: Systems and methods for use in identifying a set of candidate seeds for a target field based on a prediction model are provided. One example method includes accessing, by a computing device, data from a data server, the data including data representative of seeds harvested from at least one of a research growing space, a development growing space, and a field growing space; generating a yield delta prediction model, based on at least a portion of the accessed data; for each of a plurality of candidate seeds, automatically generating a probability of a yield delta for the candidate seed, relative to a target seed, exceeding a performance threshold, based on the generated model; identifying, by the computing device, a set of the candidate seeds, based on the probability of the respective candidate seed satisfying a defined threshold; and outputting, by the computing device, the identified set of seeds to a user.

公开(公告)号：US20240420255A1

公开(公告)日：2024-12-19

申请号：US18741252

申请日：2024-06-12

Applicant: CLIMATE LLC

Inventor： Jigyasa BHAGAT ,  Pei-Chen CHEN ,  Jake A. KING ,  Jacob P. MCDANIEL ,  Nicholas P. OCHS ,  Jiahao SUN

IPC: G06Q50/02 ,  A01G7/06 ,  G06N20/00

Abstract: Systems and methods for use in assessing a treatment trial in an agricultural field. One example method includes, for each of multiple treatment trials in agricultural fields, generating, by a computing device, a post-harvest trial block, based on multiple data layers associated with the agricultural field, where the post-harvest trial block defines an area of the agricultural field associated with the treatment trial; clustering, by a computing device, a training set of the post-harvest trial block based on one or more geospatial features of the areas of the post-harvest trial blocks; training, by the computing device, a model to indicate a label for a target post-harvest trial block based on the one or more geospatial features of an area of the target post-harvest trial block; and storing the label in a memory.