Online ISSN: 2515-8260

Author : Basha, S. Mahabhoob


Plant Disease Identifer Using K-Means and GLSM in Convolution Neural Network

S.P. Vijaya Vardan Reddy; T. Suresh; K. Naresh Kumar Thapa; V. Ramkumar; S. Mahabhoob Basha; Deepika. Y

European Journal of Molecular & Clinical Medicine, 2020, Volume 7, Issue 4, Pages 1354-1360

Produces from agriculture which feeds the entire population is dependent on proper farming practices. The growth of technology must pay a way for increasing the produce per acre and also help in reducing the onset of frequently affecting plant disease. Timely help in detecting the diseases coupled with solution helps in productivity and quality of the produce. This paper aims to detect the plant leaf disease based on image detection and using machine learning to identify the disease with accuracy and suggest the solution. The product must cater to the needs of urban and rural farmer and also the person with only lay man knowledge of taking photo. This project mainly focuses on leaf disease like Anthracnose, Bacterial Blight, Cercospora, Alternaria Altermata diseases in the Pomegranate, Indian Beech, Tobacco, and Bitter Gourd leaves. This project aims to identify the disease even with lesser region of Interest and predict the leaf diseases using Convolutional Neural Network Algorithm