International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 04 | Apr -2017
p-ISSN: 2395-0072
www.irjet.net
Disease Detection in Leaves using Image Processing Techniques 1Ayesha
.L Tilwani , 2Prof. Devang G. Jani
1Dept.
of Electronics & Communication Engineering, Shantilal Shah Engineering college, Bhavnagar Gujarat, INDIA 2 Professor, Dept. of Electronics & Communication Engineering, Shantilal Shah Engineering college, Bhavnagar Gujarat, INDIA ----------------------------------------------------------------------------------------------------------------------------------------------Abstract—Agricultural products are prone to diseases as they come into the attack of fungi, bacteria and are also affected by bad environmental conditions. The symptoms are first visible on leaves, stems etc. this paper proposes methodology for detecting diseases in leaves. The objective is to detect and classify diseases. Leaf images are captured and some are used for training purpose and some are used as test images. Proposed method first enhances the image and then converts the RGB image into HSV color space then segments the diseased portion from the healthy portion using K-mean clustering. Feature extraction is done using GLCM and classification is done using SVM. Keywords: co-occurrence matrix; SVM; texture feature; kmean clustering.
detection. Section 2 describes various types of strawberry leaf diseases. Section 3 presents a literature review. Section 4 includes proposed methodology for leaf disease detection and classification. Section 5 shows experimental result. Finally, Section 6 consists of conclusion. 2. PLANT DISEASES ANALYSIS Proposed work focusing on strawberry leaves .
Leaf Spot It is caused by Mycosphaerella fragariae. There are small round purple to reddish spots on upper leaf surfaces. Centers of these spots are of grey to white color.
1. INTRODUCTION India is an agricultural country. The economy mainly depends on agricultural products. The main aim is to increase the economy by increasing the production as well as improving the quality of the fruits and vegetables. Now a day due to environmental conditions the quality of agricultural products is degrading as they become susceptible to several diseases. So it is necessary to detect diseases as early as possible. The initial symptoms are first observed in the leaves. So by detecting the diseases at the early stage the treatment can be provided early and hence increasing the yield and also improving the quality of the fruits. Manual inspection of diseases in very large field is very long process and it is not possible for the farmers handling more than one farms so there should be a system that automatically detects the diseases and then only treatment is to be provided. The easiest way is to use image processing techniques.
Leaf Spot
Leaf Scorch Leaf scorch is caused Diplocarpon earliana. In this disease spots are of 2 shapes; small pinpoint spots in large or small numbers and/or ¼ to ½” diameter blotchy spots. Scorch spots are typically reddish brown.
This paper is organized into the following sections. Section 1 gives an introduction part and importance of leaf disease © 2017, IRJET
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