Yield prediction of four bean (Phaseolus vulgaris) cultivars using vegetation indices based on multispectral images from UAV in an arid zone of Peru

In Peru, common bean varieties adapt very well to arid zones, and it is essential to strengthen their evaluations accurately during their phenological stage by using remote sensors and UAV. However, this technology has not been widely adopted in the Peruvian agricultural system, causing a lack of in...

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Autores principales:	Saravia Navarro, David, Valqui Valqui, Lamberto, Salazar Coronal, Wilian, Quille Mamani, Javier Alvaro, Barboza Castillo, Elgar, Porras Jorge, Zenaida Rossana, Injante Silva, Pedro Hugo, Arbizu Berrocal, Carlos Irvin
Formato:	info:eu-repo/semantics/article
Lenguaje:	Inglés
Publicado:	MDPI 2023
Materias:	Multiple regression Multispectral imaging NDVI Precision agriculture Remote sensing https://purl.org/pe-repo/ocde/ford#4.01.06 Multiple regression analysis Multispectral imagery Normalized difference vegetation index Análisis por regresión múltiple Imágenes multiespectrales Indice normalizado diferencial de la vegetación Precision agricultura Agricultura de precisión Teledetección
Acceso en línea:	https://hdl.handle.net/20.500.12955/2168 https://doi.org/10.3390/drones7050325