Drone-Assisted Plant Stress Detection Using Deep Learning: A Comparative Study of YOLOv8, RetinaNet, and Faster R-CNN

Drones have been widely used in precision agriculture to capture high-resolution images of crops, providing farmers with advanced insights into crop health, growth patterns, nutrient deficiencies, and pest infestations. Although several machine and deep learning models have been proposed for plant s...

Full description

Bibliographic Details

Published in:	AgriEngineering
Main Authors:	Yousef-Awwad Daraghmi, Waed Naser, Eman Yaser Daraghmi, Hacene Fouchal
Format:	Article
Language:	English
Published:	MDPI AG 2025-08-01
Subjects:	precision agriculture drone data deep learning plant health monitoring YOLOv8 RetinaNet
Online Access:	https://www.mdpi.com/2624-7402/7/8/257