Intelligent Integrated System for Fruit Detection Using Multi-UAV Imaging and Deep Learning
Sensors, Vol. 24, No. 6, Article 1913
Editorial summary
Video frames from several UAV cameras are synchronised and assembled into a shared image representation for fruit detection and counting. Image-quality processing supports the detector before inference. Orchard experiments evaluate detection performance and false or missed detections, including under cloudy conditions.
Bibliographic reference
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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, Article 1913, 2024. https://doi.org/10.3390/s24061913
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