UAV-Based Phenotyping: A Non-Destructive Approach to Studying Wheat Growth Patterns for Crop Improvement and Breeding Programs

Rising food demands require new techniques to achieve higher genetic gains for crop production, especially in regions where climate can negatively affect agriculture. Wheat is a staple crop that often encounters this challenge, and ideotype breeding with optimized canopy traits for grain yield, such...

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Главные авторы:	Sabahat Zahra, Henry Ruiz, Jinha Jung, Tyler Adams
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2024-10-01
Серии:	Remote Sensing
Предметы:	remote sensing UAV-based phenotyping multispectral imagery wheat morphology stay-green VI data analytics
Online-ссылка:	https://www.mdpi.com/2072-4292/16/19/3710
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