A Methodology of Customized Dataset for Cotton Disease Detection Using Deep Learning Algorithms
Author:
Affiliation:
1. Barani Institute of Sciences,Department of Computer Science,Sahiwal,Pakistan
2. COMSATS University Islamabad,Department of Computer Science,Sahiwal,Pakistan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10042976/10043030/10043073.pdf?arnumber=10043073
Reference18 articles.
1. Disease Detection In Cotton Leaf Spot Using Image Processing
2. Performance of Machine Learning and Image Processing in Plant Leaf Disease Detection
3. Detection of Cotton Leaf Disease Using Image Processing Techniques
4. A Perspective View of Cotton Leaf Image Classification Using Machine Learning Algorithms Using WEKA
5. Leaf Disease Detection Using Image Processing Techniques and Offspring Generation Using Genetic Algorithm
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. SwinCNN: A Hybrid Deep Learning Architecture for Accurate Cotton Disease Prediction;2023 12th International Conference on Advanced Computing (ICoAC);2023-08-17
2. Research on A Citrus Leaf Disease Detection Model Based on Yolov5-CBF;2023 2nd International Conference on Computing, Communication, Perception and Quantum Technology (CCPQT);2023-08-04
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