Search Results for author:
Found 1 papers, 0 papers with code
Apple Leaf Disease Identification through Region-of-Interest-Aware Deep Convolutional Neural Network
The two subnetworks exhibit the architecture types of an encoder-decoder network and VGG network, respectively; subsequently, they are trained separately through transfer learning with a new training set containing class information, according to the types of leaf diseases and the ground truth images where the background, leaf area, and spot area are separated.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
