Mapping Olive Crops (<i>Olea europaea</i> L.) in the Atacama Desert (Peru): An Integration of UAV-Satellite Multispectral Images and Ensemble Machine Learning Models

Spatial monitoring of olive systems in arid regions is essential for understanding agricultural expansion, water pressure, and productive sustainability. This study aimed to map coverage and estimate olive plantation density (<i>Olea europaea</i> L.) in the Atacama Desert, Tacna (Peru) through the i...

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Detalles Bibliográficos

Principais autores:	Edwin Pino-Vargas, German Huayna, Jorge Muchica-Huamantuma, Elgar Barboza, Samuel Pizarro, Bertha Vera-Barrios, Carolina Cruz-Rodriguez, Fredy Cabrera-Olivera
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2026-01-01
Series:	AgriEngineering
Assuntos:	precision agriculture remote sensing multispectral images ensemble classification olive trees
Acceso en liña:	https://www.mdpi.com/2624-7402/8/1/9
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