Classification of Plant Leaf Diseases using CNN
Karishma Shaik1, Yaswanth Karreddula2, Mujahid Maheer3, Sai Pranay Roop Donthamsetty4, G. Anuradha5
1Karishma Shaik*, Department of Computer Science and Engineering, VR Siddhartha Engineering College, Vijayawada, Kanuru.
2Yaswanth karreddula, Department of Computer Science and Engineering, VR Siddhartha Engineering College, Vijayawada, Kanuru.
3Mujahid Maheer, Department of Computer Science and Engineering, VR Siddhartha Engineering College, Vijayawada, Kanuru.
4Sai Pranay Roop Donthamsetty, Department of Computer Science and Engineering, VR Siddhartha Engineering College, Vijayawada, Kanuru.
5Dr.G.Anuradha, Associate Professor, Department of Computer Science and Engineering, VR Siddhartha Engineering College, Vijayawada, Kanuru.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 25, 2020. | Manuscript published on April 10, 2020. | PP: 1750-1754 | Volume-9 Issue-6, April 2020. | Retrieval Number: F4735049620/2020©BEIESP | DOI: 10.35940/ijitee.F4735.049620
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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: Agricultural productive is the dominant issue, which affects the economy of the country excessively. So detection of diseases in plants plays a major role in Agricultural field. In previous day’s farmers in the fields used to observe the plants just by seeing with their eye for identification of a disease. But this method may take lot of time, expensive and inaccurate. So advanced technology that can identify plant diseases as easily as possible is needed, in order to decrease the percentage rate of the contamination of crops and increase the fertility. Here in this paper techniques like preprocessing, segmentation and classification of image are used. Here Tomato, Maize, Grape, Potato and Apple plant leaves are used, where different diseases are identified for each plant. For Classification we used Convolution Neural Network Algorithm, so that we can automatically detect the plant leaf diseases. And this will help farmers to identify their diseases as early as possible.
Keywords: Agriculture, Classification of Image, Convolution Neural Network, Identification, Pre-Processing, Segmentation.
Scope of the Article: Classification