公开(公告)号：US10912249B1

公开(公告)日：2021-02-09

申请号：US16225859

申请日：2018-12-19

Applicant: Ag Leader Technology, Inc.

Inventor： David Wilson

IPC: A01B79/00 ,  G05B13/02

Abstract: A method for managing agricultural operations by predicting amount of crop or product remaining for a field includes performing agricultural operations on at least a portion of a field using an agricultural machine, sensing data associated with the agricultural operations using sensors associated with the agricultural machine, communicating the data associated with the agricultural operations to a computing device, analyzing the data associated with the agricultural operations performed using the computing device to determine an area prediction for a remaining portion of the field upon which the agricultural operations are to be performed, and using the area prediction for the remaining portion of the field by the computing device to determine a time associated with completing the agricultural operations for the field or an amount of material or other resources associated with completing the agricultural operations for the field.

公开(公告)号：US09756774B1

公开(公告)日：2017-09-12

申请号：US14997245

申请日：2016-01-15

Applicant: Ag Leader Technology, Inc.

Inventor： David Wilson

IPC: G06K19/06 ,  A01C1/00 ,  G06K7/10

CPC classification number: A01C1/00 ,  A01C21/00 ,  G06K7/10366

Abstract: A system, method, and apparatus for automatically gathering seed-specific data for an agricultural crop. Simulated seeds with contactless machine-readable data are co-mingled with actual seeds. Whether in stored form prior to planting, during planting, or after planting with the actual seed in the ground, appropriate readers can quickly and accurately read the seed-specific data for a variety of purposes. That can include simply confirming that the actual seed at least in proximity to a simulated seed is of a particular hybrid or variety. It could also include other seed-specific data such as time and date of planning, seed production company, seed-specific usage restrictions, etc. The data can be utilized by other systems. One example would be a precision agricultural system.