Machine Learning and Fuzzy Logic based Detection, Classification and Grading of Leaf Disease in Plants
Bhavika. N. Patel1, Binal Kaka2, Dweepna Garg3, Rima Patel4

1Bhavika N. Patel, Department of Computer, Devang Patel Institute of Advance Technology and Research, Faculty of Technology and Engineering, CHARUSAT, Anand, India.

2Binal Kaka, Department of Computer, Devang Patel Institute of Advance Technology and Research, Faculty of Technology and Engineering, CHARUSAT, Anand, India. 

3Dweepna Garg, Department of Computer, Devang Patel Institute of Advance Technology and Research, Faculty of Technology and Engineering, CHARUSAT, Anand, India.

4Rima Patel, Department of Computer Science & Engineering, Devang Patel Institute of Advance Technology and Research, Faculty of Technology and Engineering, CHARUSAT, Anand, India.

Manuscript received on 25 April 2020 | Revised Manuscript received on 07 May 2020 | Manuscript Published on 22 May 2020 | PP: 38-42 | Volume-9 Issue-7S July 2020 | Retrieval Number: 100.1/ijitee.G10120597S20 | DOI: 10.35940/ijitee.G1012.0597S20

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Abstract: India is an agricultural country where most of people are depends on the agriculture. When Plants are infected by the virus, fungus and bacteria, they are mostly seen on leaves and stems of the plants. Because of that, plants production is decreased also economy of the country is decreased. The farmer has to identify the disease and decide which pesticide will be used to control the disease in plants. To finding out which disease affect the plants, the farmer contacts the expert for the solution. The expert gives the advice based on its knowledge and information but sometimes seeking the expert advice is time consuming, expensive and may be not accurate. So, to solve this problem, the image processing techniques and Machine Learning algorithm like Neural Network, Fuzzy Logic and Support Vector Machine gives the better, accurate and affordable solution to control the plants disease than manual method.

Keywords: K Means Clustering; Texture Feature; Neural Network; GLCM; Leaf.
Scope of the Article: Fuzzy Logics