Siberian Tiger Carpet Weaver Optimization based Hybrid Deep Learning for  Multi-level Cotton Leaf Disease Classification under Complex Environment

Vasanth Kumar Reddy G, Dr. Punith Kumar M B

Siberian Tiger Carpet Weaver Optimization based Hybrid Deep Learning for Multi-level Cotton Leaf Disease Classification under Complex Environment

Authors

Vasanth Kumar Reddy G, Dr. Punith Kumar M B

Keywords:

Agriculture, Cotton leaf disease, Geometric Mean Filtering, Siberian Tiger Optimization, Carpet Weaver Optimization.

Abstract

In India, Cotton is the most important crops for agricultural economy but is highly susceptibleto plant diseases. Any loss of this crop leads to a significant reduction in yield. There are several reasonsfor crop loss, especially leaf disease is the major issue. The crop loss due to leaf disease is rapidlyincreasing that significantly a

References

A. J. R. R. and V. R. , "Cotton leaf disease classification using deep convolution neural network for sustainable cotton production," In 2019 IEEE international conference on clean energy and energy efficient electronics circuit for sustainable development (INCCES), 2019

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Published

2024-11-20

How to Cite

Vasanth Kumar Reddy G, Dr. Punith Kumar M B. (2024). Siberian Tiger Carpet Weaver Optimization based Hybrid Deep Learning for Multi-level Cotton Leaf Disease Classification under Complex Environment . Journal of Computational Analysis and Applications (JoCAAA), 33(08), 4726–4756. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2967