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Calibración y validación de modelos espacializados para la estimación del índice de área foliar (LAI) en cerezo (Prunus avium L.), a partir de imágenes satelitales Landsat
Ávila Sánchez, Carlos; Hernández González, Daniel (Universidad Católica del Maule, Facultad de Ciencias Agrarias y Forestales, 2016)Este estudio se llevó a cabo para calibrar y validar modelos espacializados para la estimación del LAI (leaf area index) en cerezo (Prunus avium L.), a partir de imágenes satelitales Landsat en la Región del Maule, Chile. ...
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Effects of regulated post-harvest irrigation strategies on yield, fruit quality and water productivity in a drip-irrigated cherry orchard
Carrasco-Benavides, Marcos ; Espinoza-Meza, Sergio; Olguín-Cáceres, Jeissy; Muñoz-Concha, Diego; von Bennewitz, Eduardo ; Ávila Sánchez, Carlos; Ortega-Farías, Samuel (2020)We evaluated the effects of different post-harvest irrigation strategies on yield, fruit quality and quantity, and water productivity (WP) of sweet cherry trees, over a two-growing season experiment. The fruits were evaluated ...
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Water status estimation of cherry trees using infrared thermal imagery coupled with supervised machine learning modeling
Carrasco-Benavides, Marcos ; Gonzalez Viejo, Claudia; Tongson, E. J.; Baffico-Hernández, Antonella; Ávila Sánchez, Carlos; Mora, Marco ; Fuentes, Sigfredo (2022)The implementation of artificial intelligence (AI) in parallel with remote sensing could be a powerful tool to manage irrigation scheduling on crops with narrow thresholds between water stress levels, such as cherry trees. ...