Iot Based Plants Disease Detection Using Convolution Neural Network (CNN) and Support Vector Machines (SVM)

  • M.Saravanan, M.Ramkumar*, M.Sharon Nisha, Rajesh.N, M.P. Thiruvenkatasuresh

Abstract

Every country’s economic is extremely reliant on agricultural efficiency. Thus in the field of
farming, increasing the yield is very important and for increasing the yield, the detection of disease in
the early stage in plant is essential. In order to identify a plant disease the utilization of an automated
disease detection strategy is helpful in protecting the plants and in increasing the yield. In this paper
we proposed a method for detecting the disease in banana leaves using IoT devices with the help of
convolution neural network and support vector machine and we suggested a method for automation
by robotics in forming. In the proposed work an algorithm for picture segmentation is developed for
detection of leaf diseases in banana tree. Also, the convolution neural network is utilized to determine
the kinds of disease. From the experimental results it is absorbed that our proposed method gives
more accurate result than the existing methods

Published
2020-05-20
How to Cite
M.Saravanan, M.Ramkumar*, M.Sharon Nisha, Rajesh.N, M.P. Thiruvenkatasuresh. (2020). Iot Based Plants Disease Detection Using Convolution Neural Network (CNN) and Support Vector Machines (SVM). International Journal of Advanced Science and Technology, 29(7), 2358-2368. Retrieved from http://sersc.org/journals/index.php/IJAST/article/view/17974
Section
Articles