公开(公告)号：US12159457B2

公开(公告)日：2024-12-03

申请号：US18341434

申请日：2023-06-26

Applicant: Deere & Company

Inventor： Bodi Yuan ,  Zhiqiang Yuan ,  Ming Zheng

IPC: G06V20/10 ,  A01C1/02 ,  G06N3/045 ,  G06N3/08 ,  G06T7/00 ,  G06T7/10 ,  G06T7/70 ,  G06T7/90 ,  A01D75/00 ,  A01G25/16 ,  A01M21/00

Abstract: Techniques are described herein for using artificial intelligence to predict crop yields based on observational crop data. A method includes: obtaining a first digital image of at least one plant; segmenting the first digital image of the at least one plant to identify at least one seedpod in the first digital image; for each of the at least one seedpod in the first digital image: determining a color of the seedpod; determining a number of seeds in the seedpod; inferring, using one or more machine learning models, a moisture content of the seedpod based on the color of the seedpod; and estimating, based on the moisture content of the seedpod and the number of seeds in the seedpod, a weight of the seedpod; and predicting a crop yield based on the moisture content and the weight of each of the at least one seedpod.