Implementing cloud computing for the digital mapping of agricultural soil properties from high resolution UAV multispectral imagery

The spatial heterogeneity of soil properties has a significant impact on crop growth, making it difficult to adopt site-specific crop management practices. Traditional laboratory-based analyses are costly, and data extrapolation for mapping soil properties using high-resolution imagery becomes a com...

Descripción completa

Detalles Bibliográficos

Autores principales:	Pizarro Carcausto, Samuel Edwin, Pricope, Narcisa G., Figueroa Venegas, Deyanira Antonella, Carbajal Llosa, Carlos Miguel, Quispe Huincho, Miriam Rocío, Vera Vilchez, Jesús Emilio, Alejandro Méndez, Lidiana Rene, Achallma Mendoza, Lino, González Tovar, Izamar Estrella, Salazar Coronel, Wilian, Loayza, Hildo, Cruz Luis, Juancarlos Alejandro, Arbizu Berrocal, Carlos Irvin
Formato:	Artículo
Lenguaje:	Inglés
Publicado:	MDPI 2023
Materias:	Soil mapping UAV Google Earth Engine Machine learning Cloud computing https://purl.org/pe-repo/ocde/ford#4.01.06 Soil surveys Reconocimiento de suelos Unmanned aerial vehicles Vehículos aéreos no tripulados
Acceso en línea:	https://hdl.handle.net/20.500.12955/2290 https://doi.org/10.3390/rs15123203