Intelligent Integrated System for Fruit Detection Using Multi-UAV Imaging and Deep Learning
Sensors, Vol. 24, No. 6, pp. 1913
Abstract
This paper proposes an intelligent integrated system for fruit detection using multi-UAV imaging and deep learning. The research presents a methodological flow for UAV-based fruit counting that includes a novel YOLOv5-v1 model for image processing and fruit detection. The system demonstrates high accuracy in detecting apples with occlusions in orchard environments.
Citation
Oleksandr Melnychenko, Lukasz Scislo, Oleg Savenko, Anatoliy Sachenko, Pavlo Radiuk. "Intelligent Integrated System for Fruit Detection Using Multi-UAV Imaging and Deep Learning". Sensors, Vol. 24, No. 6, pp. 1913, 2024.