Identification of Citrus Trees from Unmanned Aerial Vehicle Imagery Using Convolutional Neural Networks

Identification of Citrus Trees from Unmanned Aerial Vehicle Imagery Using Convolutional Neural Networks

Remote sensing is important to precision agriculture and the spatial resolution provided by Unmanned Aerial Vehicles (UAVs) is revolutionizing precision agriculture workflows for measurement crop condition and yields over the growing season, for identifying and monitoring weeds and other application...

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Bibliographic Details
Main Authors: Ovidiu Csillik, John Cherbini, Robert Johnson, Andy Lyons, Maggi Kelly
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Drones
Subjects:
CNN
deep learning
superpixels
precision agriculture
UAS
feature extraction
citrus
tree identification
Online Access:https://www.mdpi.com/2504-446X/2/4/39

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