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Deep Learning Segmentation Models for UAV-Based Detection of Crop Damage in Rapeseed Using RGB Imagery

The objective of this study was to evaluate the accuracy of detecting crop damage caused by wild boar in rapeseed fields using UAV (unmanned aerial vehicle)-derived RGB (red, green and blue) imagery and deep learning segmentation models. The experiments were conducted on rapeseed crops at full matur...

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Principais autores: Barbara Dobosz, Dariusz Gozdowski, Jerzy Koronczok, Jan Žukovskis, Elżbieta Wójcik-Gront
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2026-02-01
Serier:Agriculture
Fag:
rapeseed
wildlife
unmanned aerial vehicles
image classification
deep learning
U-Net
Online adgang:https://www.mdpi.com/2077-0472/16/5/536
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