Predictive Modeling of Above-Ground Biomass in Brachiaria Pastures from Satellite and UAV Imagery Using Machine Learning Approaches

Predictive Modeling of Above-Ground Biomass in Brachiaria Pastures from Satellite and UAV Imagery Using Machine Learning Approaches

Grassland pastures are crucial for the global food supply through their milk and meat production; hence, forage species monitoring is essential for cattle feed. Therefore, knowledge of pasture above-ground canopy features help understand the crop status. This paper finds how to construct machine lea...

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Bibliographic Details
Main Authors: Cesar I. Alvarez-Mendoza, Diego Guzman, Jorge Casas, Mike Bastidas, Jan Polanco, Milton Valencia-Ortiz, Frank Montenegro, Jacobo Arango, Manabu Ishitani, Michael Gomez Selvaraj
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
above-ground biomass
precision agriculture
UAV
remote sensing
machine learning prediction
Online Access:https://www.mdpi.com/2072-4292/14/22/5870

Internet

https://www.mdpi.com/2072-4292/14/22/5870

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