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Title: :  Implementation of Plant Leaf Disease Detection using K-means clustering and Neural Networks
PaperId: :  21377
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 9 Issue 4 2023
DUI:    16.0415/IJARIIE-21377
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Aishwarya P RAkshaya institute of technology, Tumakuru
Dr.Varadaraju H RAkshaya institute of technology, Tumakuru
Bharathi NAkshaya institute of technology, Tumakuru

Abstract

Electronics and Communication Engineering
Leaf, K-means clustering and Neural Networks, RGB, HIS, etc.,
Plants exist all over the place; we live, as well as places without us. Plant disease is one of the essential causes that reduces quantity and degrades quality of the agricultural merchandises. Plant diseases have turned into a terrible as it can cause significant reduction in both quality and quantity of agricultural products. Images form important data and information in biological sciences. Until recently photography was the only method to reproduce and report such data. It is difficult to quantify or treat the photographic data mathematically. This project, classifies the plant leaves and stems at hand into infected and non-infected classes. The developing software provides a fast and accurate method in which the leaf diseases are detected and classified using k-means based segmentation and neural networks-based classification. Most common diseases seen in the leaves of Tapioca and Mango are discussed here for this approach. In this paper, respectively, the applications of K-means clustering and Neural Networks (NNs) have been formulated for clustering and classification of diseases that effect on plant leaves. Recognizing the disease is mainly the purpose of the proposed approach. Thus, the proposed Algorithm was tested on five diseases which influence on the plants; they are: Early scorch, Cottony mold, ashen mold, late scorch, tiny whiteness. The experimental results indicate that the proposed approach is a valuable approach, which can significantly support an accurate detection of leaf diseases in a little computational effort. This project gives 95% of efficiency using MATLAB simulation results.

Citations

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IJARIIE Aishwarya P R, Dr.Varadaraju H R, and Bharathi N. "Implementation of Plant Leaf Disease Detection using K-means clustering and Neural Networks" International Journal Of Advance Research And Innovative Ideas In Education Volume 9 Issue 4 2023 Page 2469-2477
MLA Aishwarya P R, Dr.Varadaraju H R, and Bharathi N. "Implementation of Plant Leaf Disease Detection using K-means clustering and Neural Networks." International Journal Of Advance Research And Innovative Ideas In Education 9.4(2023) : 2469-2477.
APA Aishwarya P R, Dr.Varadaraju H R, & Bharathi N. (2023). Implementation of Plant Leaf Disease Detection using K-means clustering and Neural Networks. International Journal Of Advance Research And Innovative Ideas In Education, 9(4), 2469-2477.
Chicago Aishwarya P R, Dr.Varadaraju H R, and Bharathi N. "Implementation of Plant Leaf Disease Detection using K-means clustering and Neural Networks." International Journal Of Advance Research And Innovative Ideas In Education 9, no. 4 (2023) : 2469-2477.
Oxford Aishwarya P R, Dr.Varadaraju H R, and Bharathi N. 'Implementation of Plant Leaf Disease Detection using K-means clustering and Neural Networks', International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, 2023, p. 2469-2477. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Implementation_of_Plant_Leaf_Disease_Detection_using_K_means_clustering_and_Neural_Networks_ijariie21377.pdf (Accessed : 06 November 2023).
Harvard Aishwarya P R, Dr.Varadaraju H R, and Bharathi N. (2023) 'Implementation of Plant Leaf Disease Detection using K-means clustering and Neural Networks', International Journal Of Advance Research And Innovative Ideas In Education, 9(4), pp. 2469-2477IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Implementation_of_Plant_Leaf_Disease_Detection_using_K_means_clustering_and_Neural_Networks_ijariie21377.pdf (Accessed : 06 November 2023)
IEEE Aishwarya P R, Dr.Varadaraju H R, and Bharathi N, "Implementation of Plant Leaf Disease Detection using K-means clustering and Neural Networks," International Journal Of Advance Research And Innovative Ideas In Education, vol. 9, no. 4, pp. 2469-2477, Jul-Aug 2023. [Online]. Available: https://ijariie.com/AdminUploadPdf/Implementation_of_Plant_Leaf_Disease_Detection_using_K_means_clustering_and_Neural_Networks_ijariie21377.pdf [Accessed : 06 November 2023].
Turabian Aishwarya P R, Dr.Varadaraju H R, and Bharathi N. "Implementation of Plant Leaf Disease Detection using K-means clustering and Neural Networks." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 9 number 4 (06 November 2023).
Vancouver Aishwarya P R, Dr.Varadaraju H R, and Bharathi N. Implementation of Plant Leaf Disease Detection using K-means clustering and Neural Networks. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2023 [Cited : 06 November 2023]; 9(4) : 2469-2477. Available from: https://ijariie.com/AdminUploadPdf/Implementation_of_Plant_Leaf_Disease_Detection_using_K_means_clustering_and_Neural_Networks_ijariie21377.pdf
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