ADAPTIVE TYPE 2 FUZZY AND BPNN CLASSIFICATION BASED PLANT LEAF DISEASE DETECTION
Keywords:
Plant leaves, Leaf Disease Prediction, Pre-processing, Adaptive Type 2 Fuzzy, Deep Learning, Back Propagation Neural NetworkAbstract
Agriculture has a major role in the growth and development of every nation'seconomy. The productivity of the agriculture industry is impacted by the advent of multipleplant-related illnesses. Plant disease detection is important for managing
References
Patel, B., & Sharaff, A. (2023). A review on rice plant phenotyping traits estimation for disease and growth management using modern ML techniques. Multimedia Tools and Applications, 1-23.
Horn, L., Shakela, N., Mutorwa, M. K., Naomab, E., & Kwaambwa, H. M. (2022). Moringa oleifera as a sustainable climate-smart solution to nutrition, disease prevention, and water treatment challenges: A review. Journal of Agriculture and Food Research, 10, 100397
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Published
2024-12-20
How to Cite
R.Sekar, Dr. A.Krishnakumar. (2024). ADAPTIVE TYPE 2 FUZZY AND BPNN CLASSIFICATION BASED PLANT LEAF DISEASE DETECTION. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 5761–5782. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/3370
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