Deep Learning Models for the Classification of Crops in Aerial Imagery: A Review

Deep Learning Models for the Classification of Crops in Aerial Imagery: A Review

In recent years, the use of remote sensing data obtained from satellite or unmanned aerial vehicle (UAV) imagery has grown in popularity for crop classification tasks such as yield prediction, soil classification or crop mapping. The ready availability of information, with improved temporal, radiome...

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Bibliographic Details
Main Authors: Igor Teixeira, Raul Morais, Joaquim J. Sousa, António Cunha
Format: Article
Language:English
Published: MDPI AG 2023-04-01
Series:Agriculture
Subjects:
deep learning
crop
image classification
aerial imagery
Online Access:https://www.mdpi.com/2077-0472/13/5/965

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