An Android Application for Plant Leaf Disease Detection using Convolution Neural Network
Anbarasi M1, Kartik Garg2, Sakshi Darpan Garg3, Yokesh Babu S4, Saleem Durai M A5
1Anbarasi M., Assistant Professor, Senior, Department of CSE, Vellore Institute of Technology, Vellore, India.
2Kartik Garg, Department of CSE, Vellore Institute of Technology, Vellore, India.
3Sakshi Darpan Garg, Student, Department of CSE, Vellore Institute of Technology, Vellore, India.
4Yogesh Babu S, Assistant Professor(Selection Grade), Department of CSE, Vellore Institute of Technology, Vellore, India.
5Saleem Durai M.A., Associate Professor, Department of CSE, Vellore Institute of Technology, Vellore, India.
Manuscript received on September 15, 2019. | Revised Manuscript received on 23 September, 2019. | Manuscript published on October 10, 2019. | PP: 4133-4137 | Volume-8 Issue-12, October 2019. | Retrieval Number: L36491081219/2019©BEIESP | DOI: 10.35940/ijitee.L3649.1081219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Plant leaf diseases and ruinous insects are an important concern in the agricultural sector. The agriculture is dependent on the agricultural productivity by the country, the better is the agricultural productivity, the better is the economy, and hence better is the GDP. The most common and useful way of boosting this economy for any country is the identification of these diseases in the plant and agricultural product that has been obtained. Developments in Deep Learning have facilitated researchers to improve the performance and in exacting systems for object detection and recognition. In this paper, we propose an image processing and Convolutional Neural Network based approach to detect the diseases affecting plants. Our goal is to develop an Android application with a suitable algorithm that will help automate the process of monitoring and detecting plant health. The proposed android application can effectively detect and identify various types of diseases with the ability to handle complex plant-area scenarios.
Keywords: Android Application, CNN, Detection, Diseases.
Scope of the Article: Bio-Science and Bio-Technology