This paper presents a fully automated procedure for the detection of trees affected by Xylella Fastidiosa using UAVs and convolutional neural networks. Drones are able to collect an adequate number of olive leaf images to detect the presence of disease symptoms. Several neural networks are trained to compare results and determine the best solution.

UAV Inspection of Olive Trees for the Detection of Xylella Fastidiosa Disease Using Neural Networks

Blanco I.;De Bellis L.;Luvisi A.
2021

Abstract

This paper presents a fully automated procedure for the detection of trees affected by Xylella Fastidiosa using UAVs and convolutional neural networks. Drones are able to collect an adequate number of olive leaf images to detect the presence of disease symptoms. Several neural networks are trained to compare results and determine the best solution.
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11587/464968
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