公开(公告)号：US12205368B2

公开(公告)日：2025-01-21

申请号：US17681062

申请日：2022-02-25

Applicant: Deere & Company

Inventor： Zachary Beaver ,  Ming Zheng ,  Chuan Du ,  Tiffany Cai

IPC: G06V20/68 ,  A01B79/00 ,  G06V10/44 ,  G06V20/10

Abstract: Implementations are described herein for estimating aggregate trait values for agricultural plots. In various implementations, a plurality of images depicting crops in an agricultural plot may be processed using a feature extraction portion of aggregate trait estimation model to generate a corresponding plurality of embeddings. The plurality of embeddings may be combined to obtain a unified representation of the crops in the agricultural plot. Using a prediction portion of the aggregate trait estimation model, the unified representation of the crops may be processed to estimate, as a direct output of the aggregate trait estimation model, an aggregate trait value of the crops in the agricultural plot. Data indicative of the estimated aggregate trait value of the crops in the agricultural plot may be output at a computing device.

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.