Grape Leaf Black Rot Detection Based on Lightweight Network
Author:
Affiliation:
1. Nantong Institute of Technology,School of Computer and Information Engineering,Nantong,China,226600
Funder
Natural Science Foundation of Nantong City
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10574856/10574899/10575741.pdf?arnumber=10575741
Reference24 articles.
1. Simulating the susceptibility of clusters to grape black rot infections depending on their phenological development
2. Identification of tomato leaf diseases based on combination of ABCK-BWTR and B-ARNet
3. Grape Leaf Black Rot Detection Based on Super-Resolution Image Enhancement and Deep Learning
4. An Improved DeepLab v3+ Deep Learning Network Applied to the Segmentation of Grape Leaf Black Rot Spots
5. Detection and classification of diseases of Grape plant using opposite colour Local Binary Pattern feature and machine learning for automated Decision Support System
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