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Plant Health Diagnosis System

Author(s):

Shubham Jain , HMR INSTITUTE OF TECHNOLOGY AND MANAGEMENT; Raja Sharma, HMR INSTITUTE OF TECHNOLOGY AND MANAGEMENT

Keywords:

Image Processing, BOVW, Machine Learning Algorithm

Abstract

Plants are the most integral part of our ecosystem. Plants serve us a lot of things to fulfil our daily needs, so that we can survive. Agriculture is the science and art of cultivating or growing plants in order to provide food for living. India is an agricultural country. Till date 50% of population in India is solely dependent on agriculture. After the green revolution there is lot of improvement in the agricultural sector. India became the 3rd largest country in agricultural sector, but there is a lot more which can be improved. This paper is whole about the anatomy of leaf of a plant i.e. one single leaf can tell about the whole physical and medical condition of the plant, whether the plant is healthy or diseased. Every species of the plants has their own characteristic leaf i.e. their texture, colour and histogram. In this we study about the different patterns of the leaf of different plants, different patterns from the same plant. After studying this we came to the result that if plant is diseased the first symptoms will appear on the leaf of the plant which is different from the usual pattern of the leaf of the corresponding plant. So, using this approach we decided to build a framework in Python which can help us to identify and diagnose the health of the plant. We can do this by applying Machine Learning algorithm to the dataset of the different species of the plant. In order to accomplish this task, we use random Forest Classifier Algorithm to train our machine, and to make it fast we save our model using joblib library in Python, so that we could get our results more accurate and precise.

Other Details

Paper ID: IJSRDV7I21017
Published in: Volume : 7, Issue : 2
Publication Date: 01/05/2019
Page(s): 1343-1345

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