Citations in impact factor journals
An automated system for cucumber leaf diseased spot detection and classification using improved saliency method and deep features selection Multimedia Tools and Applications Vol. 79, Issue 25-26, 18627, 2020 |
Fusion of superpixel, expectation maximization and PHOG for
recognizing cucumber diseases Computers and Electronics in Agriculture |
Automated leaf disease detection in different crop
species through image features analysis and One Class
Classifiers Computers and Electronics in Agriculture |
Citation to this article as recorded by
Proceedings of Second International Conference on Computing, Communications, and Cyber-Security Lecture Notes in Networks and Systems |
Cucumber disease recognition based on Global-Local Singular value
decomposition Neurocomputing |
Machine Vision-based Expert System for Automated Cucumber Diseases Recognition and Classification 2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA) |
Fine-Grained Image Classification for Crop Disease Based on Attention Mechanism Frontiers in Plant Science |
How to cite this article
Peng Guo, Tonghai Liu and Naixiang Li, 2014. Design of Automatic Recognition of Cucumber Disease Image. Information Technology Journal, 13: 2129-2136.
DOI: 10.3923/itj.2014.2129.2136
URL: https://scialert.net/abstract/?doi=itj.2014.2129.2136
DOI: 10.3923/itj.2014.2129.2136
URL: https://scialert.net/abstract/?doi=itj.2014.2129.2136