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Remote sensing data and machine learning models estimate sorghum grain yield in a plant breeding program

N.Ace Pugh Andrew Young Matthew Nesbitt Chad Hayes

植物表型组学（英文）2026，Vol.8Issue(2)：58-71,14.

植物表型组学（英文）2026，Vol.8Issue(2)：58-71,14.DOI:10.1016/j.plaphe.2026.100179

Remote sensing data and machine learning models estimate sorghum grain yield in a plant breeding program

N.Ace Pugh ¹Andrew Young ¹Matthew Nesbitt ¹Chad Hayes¹

作者信息

1. Cropping Systems Research Laboratory,Plant Stress and Germplasm Development,USDA-ARS,Lubbock,TX,USA
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摘要

关键词

UAS/Plant breeding/Machine learning/Remote sensing/Sorghum/Deep learning/Yield

Key words

UAS/Plant breeding/Machine learning/Remote sensing/Sorghum/Deep learning/Yield

引用本文复制引用

N.Ace Pugh,Andrew Young,Matthew Nesbitt,Chad Hayes..Remote sensing data and machine learning models estimate sorghum grain yield in a plant breeding program[J].植物表型组学（英文）,2026,8(2):58-71,14.

基金项目

This project was funded by USDA project 3096-21000-023-000-D and 3096-21000-024-000-D. （）

植物表型组学（英文）

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