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Classification and Detection of Plant Leaf Disease

Author(s):

Pooja Hindurao Dhumal , JSPM's BSIOTR WAGHOLI, PUNE; Sneha Yogesh Durge, JSPM's BSIOTR WAGHOLI, PUNE; Prof. S.S.Dubal, JSPM's BSIOTR WAGHOLI, PUNE

Keywords:

Neural Networks, Digital Image Processing, K-Means Clustering, HSI, Relay Driver

Abstract

India is any agricultural country and most of people i.e.70% depends on agriculture. So detection of leaf disease plays a vital role. Commonly found diseases are bacteria, fungi, viral, etc. observation through naked eye of experts is the traditional approach adapted in practice for detection and identification of plant disease. To overcome the disadvantage of traditional approach automatic leaf detection of plants by different image processing technique can be useful. In this paper we review the need of simple plant leaf diseases detection system that would facilitate advancement in agriculture along with some hardware solution like providing useful fertilizers. It include several steps viz .image acquisition, image pre-processing, feature extraction, neural network classification. We are using ARM controller which is interfaced with LCD display, Relay Driver circuit, Ultrasonic Level Sensor. The Communication between the master and slave unit is done by using wireless sensor.

Other Details

Paper ID: IJSRDV4I20620
Published in: Volume : 4, Issue : 2
Publication Date: 01/05/2016
Page(s): 731-734

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