首页|期刊导航|植物表型组学(英文)|Remote sensing data and machine learning models estimate sorghum grain yield in a plant breeding program

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

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

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

UASPlant breedingMachine learningRemote sensingSorghumDeep learningYield

UASPlant breedingMachine learningRemote sensingSorghumDeep learningYield

《植物表型组学(英文)》 2026 (2)

58-71,14

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

10.1016/j.plaphe.2026.100179

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