Crop Leaf Disease Prediction using Machine Learning in India

Crop Leaf Disease Prediction using Machine Learning in India

Rushikesh Awatade1, Rushikesh Pawar2, Onkar Shedge3, Saif Shaikh4

1Department of Computer Engineering, AI Ameen College of Engineering, Koregaon Bhima, Pune-412216

2 Department of Computer Engineering, AI Ameen College of Engineering, Koregaon Bhima, Pune-412216

3 Department of Computer Engineering, AI Ameen College of Engineering, Koregaon Bhima, Pune-412216

4 Department of Computer Engineering, AI Ameen College of Engineering, Koregaon Bhima, Pune-412216

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Abstract - In India, crop area is largest in the world and produces major crops like wheat, pulses, fruits, rice and vegetables Despite of using modem taming techniques along with traditional, infectious plant diseases is major problem which can be caused by different viruses, fungus and bacteria. This mainly affects crop production as well as crop quality. It is very important to identify diseases at early stage Nowadays, automatic crop de detection has become a important research domain. It helps in detecting the symptoms of the disease when they are found on the e In this paper we will focus on finding the diseases in order to increase crop quality and production effectively. Here, we will focus on r diseases by observing leaves of plants at initial stage using machine learning.

Key Words: Deep CNN, plant disease, image pre-processing, classification, feature extraction.