Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{175057, author = {SHWETHA L and PALLAVI R}, title = {Identification of Plant Diseases Through Artificial Neural Networks.}, journal = {International Journal of Innovative Research in Technology}, year = {2025}, volume = {11}, number = {11}, pages = {1586-1590}, issn = {2349-6002}, url = {https://ijirt.org/article?manuscript=175057}, abstract = {Main purpose of this paper is to detect and recognize disease in plants. Image processing technique is used to distinguish weather the leaves are healthy or affected by disease. feature extraction and classification is performed. Difficulty lies in extraction of leaf features through image, those extracted features are used by classifiers for disease recognition. Classification is performed using classifier, ANN (artificial neural networks). morphological characteristics, texture, color of plant leaf are considered for identification and classification.}, keywords = {image processing, diseased leafs, preprocessing, segmentation, classification.}, month = {April}, }
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