Android Application on Plant Disease Identification using Tensorflow
Naveen Chandra Gowda1, Sunil Kumar2, Subham Majumbdar3, Koneti Naga Abhishek4, Parikshit Sarode5
1Naveen Chandra Gowda, School of C&IT, REVA University, India.
2Sunil Kumar, School of C&IT, REVA University, India.
3Subham Majumbdar, School of C&IT, REVA University, India.
4Koneti Naga Abhishek, School of C&IT, REVA University, India.
5Parikshit Sarode, School of C&IT, REVA University, India
Manuscript received on 04 June 2019 | Revised Manuscript received on 12 June 2019 | Manuscript Published on 29 June 2019 | PP: 112-115 | Volume-8 Issue-5S, May 2019 | Retrieval Number: E10230585S19/19©BEIESP
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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: The changes in environment and climate lead to various diseases in plants. These diseases are sometimes difficult to identify without the right knowledge and expertise. The farmers and other plantation growers do not possess the expertise and resources to correctly identify the diseases of plants and their remedies. To handle this problem machine learning technology can be used, which can correctly identity the disease of the plants and display the remedies to the end user. Any new emerging disease can be added by proper botanist and their associations for the awareness of farmers. The machine learning system learns about the plant diseases from large datasets and gets trained to correctly identify new test cases given as an input by the farmers through the camera of their smart phones. Here we propose the methodology uses tensorflow incorporated with android application which can suggest the user about the disease.
Keywords: Android Application, Machine Learning, Prediction, Plant Diseases, TensorFlow, Image Dataset, Farmer.
Scope of the Article: Mobile Applications and Services for IoT