Predicting Grain Yield and Popping Expansion in Native Peruvian Popcorn and Purple-Kernel Hybrids Using Multitemporal Unmanned Aerial Vehicle-Derived Multispectral and Textural Indices

Popping expansion is the main quality trait determining the commercial value of popcorn maize, yet its evaluation requires destructive grain sampling. We investigated whether multitemporal UAV multispectral and textural features could predict grain yield and popping expansion in a native population...

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Detalhes bibliográficos

Principais autores:	Elias Huanuqueño-Coca, José Huanuqueño-Murillo, Roxana Peña-Amaro, David Quispe-Tito, Lena Cruz-Villacorta, Indira Betalleluz-Pallardel, Javier Quille-Mamani, Lia Ramos-Fernández
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-05-01
Colecção:	AgriEngineering
Assuntos:	UAV GLCM texture machine learning grain yield popping expansion purple maize
Acesso em linha:	https://www.mdpi.com/2624-7402/8/6/209
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