Leaf Disease Detection Using Image Processing Techniques: A Review
| Vol-3 | Issue-11 | November 2018 | Published Online: 10 November 2018 PDF ( 143 KB ) | ||
| Author(s) | ||
| Nikita Khurpade 1; Prof. Nutan Dhande 2 | ||
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1Research Scholar, Agnihotri College of Engineering Nagthana Wardha Maharashtra (India) 2Professor, Agnihotri College of Engineering Nagthana Wardha Maharashtra (India) |
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| Abstract | ||
This paper holds a review on leaf infection identification utilizing different picture handling system. Computerized picture handling is quick, solid and exact procedure for identification of infections likewise different calculations can be utilized for distinguishing proof and order of leaf illnesses in plant. This paper presents strategies utilized by various creator to recognize ailment, for example, grouping strategy, shading base picture investigation technique, classifier and fake neural system for grouping of infections. The principle focal point of our work is on the investigation of various leaf infection identification strategies and furthermore gives a diagram of various picture preparing systems. |
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| Keywords | ||
| Leaf diseases, SVM, segmentation, morphological processing, features extraction, neural networks, clustering, fuzzy logic | ||
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