公开(公告)号：US11893648B2

公开(公告)日：2024-02-06

申请号：US17379824

申请日：2021-07-19

Applicant: Climate LLC

Inventor： James Ethington ,  Eli Pollak ,  Tristan D'Orgeval ,  Coco Krumme ,  Evin Levey ,  Alex Wimbush ,  Erik Andrejko ,  Moorea Brega ,  Sivan Aldor-Noiman ,  Doug Sauder ,  Cory Muhlbauer

IPC: G06Q10/00 ,  G06Q50/00 ,  A01B79/00 ,  G06Q50/02 ,  G06Q10/06 ,  G06Q10/04 ,  A01B79/02 ,  G06Q10/0631 ,  G06Q10/0637

CPC classification number: G06Q50/02 ,  A01B79/02 ,  G06Q10/04 ,  G06Q10/06 ,  G06Q10/0637 ,  G06Q10/06315

Abstract: A computer-implemented method for recommending agricultural activities is implemented by an agricultural intelligence computer system in communication with a memory. The method includes receiving, over a network, field definition data and environmental data; determining soil data from at least the environmental data; determining, based on at least the soil data, carbon load data indicating carbon load present in the field during a planting date; receiving first input indicating a plurality of starter application criteria; based on the first input and the carbon load present in the field, generating application data that include at least an amount of the starter fertilizer that provides nutrients to seeds throughout a nutrient immobilization period between the planting date and a beginning of a microorganism mineralization period; generating control instructions for controlling an agricultural implement based on the application data.

公开(公告)号：US11785879B2

公开(公告)日：2023-10-17

申请号：US16889627

申请日：2020-06-01

Applicant: CLIMATE LLC

Inventor： James Ethington ,  Eli Pollak ,  Tristan D'Orgeval ,  Katherine Krumme ,  Evin Levey ,  Samuel Alexander Wimbush ,  Erik Andrejko ,  Moorea Lee Brega ,  Sivan Aldor-Noiman

IPC: G06Q50/02 ,  A01B79/00 ,  G06Q10/06

CPC classification number: A01B79/005 ,  G06Q10/06 ,  G06Q50/02

Abstract: A computer-implemented method for recommending agricultural activities is implemented by an agricultural intelligence computer system in communication with a memory. The method includes receiving a plurality of field definition data, retrieving a plurality of input data from a plurality of data networks, determining a field region based on the field definition data, identifying a subset of the plurality of input data associated with the field region, determining a plurality of field condition data based on the subset of the plurality of input data, identifying a plurality of field activity options, determining a recommendation score for each of the plurality of field activity options based at least in part on the plurality of field condition data, and providing a recommended field activity option from the plurality of field activity options based on the plurality of recommendation scores.