Rice phenotyping using unmanned aerial vehicles: Analyzing morphological characteristics and yield

Rice is a globally important crop and a staple in the diet of a large part of the world's population. This underscores the need for hybridization and improvement of rice genotypes to meet food demand in an environmentally sustainable manner. Geographic Information Systems (GIS) have proven to be val...

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Autores principales:	Goigochea Pinchi, Diego, Vega Herrera, Sergio Sebastian, Torres Chavez, Edson Esmith, Archentti Reategui, Fernando, Barrera Torres, Ciceron, Dominguez Yap, Percy Luis, Ysuiza Perez, Alfredo, Perez Tello, Monica, Rios Rios, Raúl, Santillan Gonzáles, Manuel Dante, Ganoza Roncal, Jorge Juan, Ruiz Reyes, Jose Guillermo, Agurto Piñarreta, Alex Ivan
Formato:	info:eu-repo/semantics/article
Lenguaje:	Inglés
Publicado:	PE 2025
Materias:	Oryza sativa Teledetección Imágenes multispectrales Aprendizaje automático Mejora genética Remote sensing Multispectral imaging Machine learning Genetic improvement. https://purl.org/pe-repo/ocde/ford#4.01.01 Arroz; Rice; Vehículos aéreos no tripulados; Unmanned aerial vehicles; Fenotipado; Phenotyping; Rendimiento de cultivos; Crop yield; Agricultura de precisión; Precision agriculture
Acceso en línea:	http://hdl.handle.net/20.500.12955/2896 http://doi.org/10.17268/agroind.sci.2025.03.05