Enhanced Convolutional-Neural-Network Architecture for Crop Classification

Enhanced Convolutional-Neural-Network Architecture for Crop Classification

Automatic crop identification and monitoring is a key element in enhancing food production processes as well as diminishing the related environmental impact. Although several efficient deep learning techniques have emerged in the field of multispectral imagery analysis, the crop classification probl...

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Bibliographic Details
Main Authors: Mónica Y. Moreno-Revelo, Lorena Guachi-Guachi, Juan Bernardo Gómez-Mendoza, Javier Revelo-Fuelagán, Diego H. Peluffo-Ordóñez
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Applied Sciences
Subjects:
convolutional neural network (CNN)
crop classification
post-processing
satellite images
Online Access:https://www.mdpi.com/2076-3417/11/9/4292

Internet

https://www.mdpi.com/2076-3417/11/9/4292

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