Detection of Crop Damage in Maize Using Red–Green–Blue Imagery and LiDAR Data Acquired Using an Unmanned Aerial Vehicle

Detection of Crop Damage in Maize Using Red–Green–Blue Imagery and LiDAR Data Acquired Using an Unmanned Aerial Vehicle

Crop damage caused by wild animals, particularly wild boars (<i>Sus scrofa</i>), significantly impacts agricultural yields, especially in maize fields. This study evaluates two methods for assessing maize crop damage using UAV-acquired data: (1) a deep learning-based approach employing t...

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Bibliographic Details
Main Authors: Barbara Dobosz, Dariusz Gozdowski, Jerzy Koronczok, Jan Žukovskis, Elżbieta Wójcik-Gront
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Agronomy
Subjects:
crop damage
wild boar
<i>Sus scrofa</i>
maize
UAV
RGB imagery
Online Access:https://www.mdpi.com/2073-4395/15/1/238
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