UAV hyperspectral remote sensor images for mango plant disease and pest identification using MD-FCM and XCS-RBFNN.

Pansy, D Lita; Murali, M

Pansy, D Lita; Murali, M.

Pansy DL; Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur, 603 203, India. ld5358@srmist.edu.in.
Murali M; Department of Computing Technologies, SRM Institute of Science and Technology, Kattankulathur, 603 203, India.

Environ Monit Assess ; 195(9): 1120, 2023 Aug 31.

Article en En | MEDLINE | ID: mdl-37650944

Asunto(s)

Mangifera; Animales; Dispositivos Aéreos No Tripulados; Monitoreo del Ambiente; Algoritmos; Aves; Enfermedades de las Plantas

Palabras clave

Crop disease identification; Fuzzy C Means (FCM) clustering; Hyperspectral imaging sensor; Remote sensing; Unmanned aerial vehicle (UAV)

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Mangifera Tipo de estudio: Diagnostic_studies / Prognostic_studies Límite: Animals Idioma: En Año: 2023 Tipo del documento: Article

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