Machine Learning Based Leaf Disease Detection
Sowmya Sundari L K1, Harshitha Rayapuram2, Keerthana M3, Kusuma Rathna M4, Shalini A5
1Sowmya Sundari L K, School of C & IT, REVA University, Bangalore (Karnataka), India.
2Harshitha Rayapuram, School of C & IT, REVA University, Bangalore (Karnataka), India.
3Keerthana M, School of C & IT, REVA University, Bangalore (Karnataka), India.
4Kusuma Rathna M, School of C & IT, REVA University, Bangalore (Karnataka), India.
5Shalini A, School of C & IT, REVA University, Bangalore (Karnataka), India.
Manuscript received on 04 June 2019 | Revised Manuscript received on 12 June 2019 | Manuscript Published on 29 June 2019 | PP: 116-120 | Volume-8 Issue-5S, May 2019 | Retrieval Number: E10240585S19/19©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: India is mainly known for land of agriculture. Majority of the population depends on agriculture. Farmers are unaware to find the disease of the crops which may affect their livelihood. This is one of the major problems where the farmers are facing. To overcome this problem, a device which detects the disease of the leaf using Image processing and machine learning. With the help of image processing, the affected leaf pictures are taken as reference detects the disease of the leaf. Mean Shift algorithm and SVM classifier are used for segmentation and in classification of the disease. This application is used for farmers in identifying the disease of the leaf.
Keywords: Machine Learning Image Processing Classification Algorithm.
Scope of the Article: Machine Learning