computer vision, DCNN, HLB, deep learning, citrus, inceptionv3
Abstract
The most common method for the identification of HLB infected plants is visual inspection. The present work aims to present a technique using deep convolutional neural networks to identify the presence of the disease in citrus plants using digital camera images. Two types of images are used: leaves with real background (field) and homogeneous background (studio) from two different classes: healthy and sick.
