Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin

Front-line remote sensing tools, coupled with machine learning (ML), have a significant role in crop monitoring and disease surveillance. Crop type classification and a disease early warning system are some of these remote sensing applications that provide precise, timely, and cost-effective informa...

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Bibliographic Details

Main Authors:	Gómez Selvaraj, Michael, Vergara, Alejandro, Montenegro, Frank, Alonso Ruiz, Henry, Safari, Nancy, Raymaekers, Dries, Ocimati, Walter, Ntamwira, Jules Bagula, Tits, Laurent, Omondi, Bonaventure Aman Oduor, Blomme, Guy
Format:	Journal Article
Language:	Inglés
Published:	Elsevier 2020
Subjects:	artificial intelligence machine learning remote sensing disease recognition satellite imagery disease surveillance classification bananas inteligencia artificial aprendizaje electrónico vigilancia de enfermedades imágenes por satélites
Online Access:	https://hdl.handle.net/10568/110670