Grape Leaf Black Rot Detection Based on Super-Resolution Image Enhancement and Deep Learning.

ABSTRACT: The disease spots on the grape leaves can be detected by using the image processing and deep learning methods. However, the accuracy and efficiency of the detection are still the challenges. The convolutional substrate information is fuzzy, and the detection results are not satisfactory if the disease spot is relatively small. In particular, the detection will be difficult if the number of pixels of the spot is <32 × 32 in the image. In order to effectively address this problem, we present a super-resolution image enhancement and convolutional neural network-based algorithm for the detection of black rot on grape leaves. First, the original image is up-sampled and enhanced with local details using the bilinear interpolation. As a result, the number of pixels in the image increase. Then, th

SUBMITTER: Zhu J 

PROVIDER: S-EPMC8277438 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature