Open Access Journal

ISSN : 2394-2320 (Online)

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

Open Access Journal

International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Computer Science and Engineering

ISSN : 2394-2320 (Online)

Plant Health Monitoring Using Image Processing

Author : Vignesh Dhandapani 1 S. Remya 2 T. Shanthi 3 R. Vidhy 4

Date of Publication :22nd March 2018

Abstract: Agriculture has become much more than simply a means to feed ever growing populations. It is very important where in more than 70% population depends on agriculture in India. That means it feeds great number of people. The plant diseases affect the humans directly or indirectly by health and also economically. Identification of the plant diseases is a very vital process to avoid the losses in both quality and quantity of leafs in agricultural production system. This Project deals with digital image processing techniques for detection, processing and identification of plant diseases. Diseases can affect at any part of plant especially in leaf. This Project includes only those methods to identify disease in leaves. Disease symptoms will be visible on leaves. It is very tough job to monitor the plant diseases manually. Manual plant disease monitoring system needs more processing time and expertise in the plant disease. So a fast, automatic and accurate approach to identify the plant diseases is needed. Hence, image processing techniques are used for the detection, processing and identification of plant diseases because these techniques are fast, automatic and accurate. Traditional method of checking diseases in plants is through visualization but this method is not so relevant in detecting the diseases associated with plants. So we can provide a better alternative, fast and accurate detection by using image processing techniques which can be more reliable than some other old methods

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