Remote Sensing and Machine Learning Modeling to Support the Identification of Sugarcane Crops

One of the main concerns of agricultural financing institutions is to make sure the loans they grant are used for the stated objective when the loan was requested. Specifically, when Banco Agrario de Colombia grants loans for crop farmers, it schedules verification visits to the cultivation sites to...

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Principais autores:	Carlos Lozano-Garzon, German Bravo-Cordoba, Harold Castro, Geovanny Gonzalez-Rodriguez, David Nino, Haydemar Nunez, Carolina Pardo, Aurelio Vivas, Yuber Castro, Jazmin Medina, Luis Carlos Motta, Julio Rene Rojas, Luis Ignacio Suarez
格式:	Artigo
語言:	Inglês
出版:	IEEE 2022-01-01
叢編:	IEEE Access
主題:	Investment monitoring Landsat-8 machine learning remote sensing Sentinel-2 sugarcane crops
在線閱讀:	https://ieeexplore.ieee.org/document/9701304/
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