US 12,205,368 B2
Aggregate trait estimation for agricultural plots
Zachary Beaver, San Francisco, CA (US); Ming Zheng, Redwood City, CA (US); Chuan Du, Vancouver (CA); and Tiffany Cai, Palo Alto, CA (US)
Assigned to Deere &Company, Moline, IL (US)
Filed by Deere & Company, Moline, IL (US)
Filed on Feb. 25, 2022, as Appl. No. 17/681,062.
Prior Publication US 2023/0274541 A1, Aug. 31, 2023
Int. Cl. G06V 20/68 (2022.01); A01B 79/00 (2006.01); G06V 10/44 (2022.01); G06V 20/10 (2022.01)
CPC G06V 20/188 (2022.01) [A01B 79/005 (2013.01); G06V 10/44 (2022.01); G06V 20/68 (2022.01)] 20 Claims
OG exemplary drawing
 
1. A method implemented using one or more processors and comprising:
processing, using a feature extraction portion of a first aggregate trait estimation model, a first plurality of images depicting crops in an agricultural plot to generate a corresponding first plurality of embeddings;
processing, using a feature extraction portion of a second aggregate trait estimation model, a second plurality of images to generate a corresponding second plurality of embeddings;
combining the first plurality of embeddings to obtain a first unified representation of the crops in the agricultural plot;
combining the second plurality of embeddings to obtain a second unified representation of the crops in the agricultural plot;
processing, using prediction portions of the first and second aggregate trait estimation models, the first and second unified representations of the crops to estimate an aggregate trait value of the crops in the agricultural plot; and
causing data indicative of the estimated aggregate trait value of the crops in the agricultural plot to be output at a computing device.