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<p class="icsmtitle">A Novel Plant Leaf Ailment Recognition Method using Image Processing Algorithms</p><br />

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Title Statement <p class="icsmtitle">A Novel Plant Leaf Ailment Recognition Method using Image Processing Algorithms</p><br />
 
Added Entry - Uncontrolled Name Thenmozhi, S ; Dayananda Sagar College of Engineering, Bangalore, India
Lakshmi, R Jothi; R.M.D Engineering college, Chennai, India
Kumudavalli, M V; Dayananda Sagar College of Arts, Science and Commerce, Bangalore, India
Ibrahim, Irshadh ; Dayananda Sagar College of Engineering, Bangalore, India
Mohan, Rekha ; Dayananda Sagar College of Engineering, Bangalore, India
 
Uncontrolled Index Term Artificial Neural Network, Classification, Image Processing, Plant disease detection
 
Summary, etc. <p>In the 21<sup>st</sup> Century, agriculture still remains the major source of food for human beings and it has far shadowed other sources such as hunting, fishing and gathering. Since environmental conditions are beyond the scope of human control, plant illness identification is acting as a critical position in the agricultural field. This paper suggests a method to replace the traditional methods of identifying disease through the use of “image-processing” techniques. In this study, an image of the leaf of a diseased plant has been taken using a digital camera. Three segmentation algorithms namely Green Pixel Masking, “CIE L*a*b colour space” extraction and H element of HSV extraction have been used to split the image into diseased and healthy regions. The diseased region is then used to calculate 13 parameters which are utilized as inputs by a pre-trained neural network which utilizes “feed-forward back propagation algorithm” to determine the final output. The proposed methodology has achieved a maximum accuracy of 95.62% for Apple leaves, 91.62% for Grape leaves and 91.1% for Tomato leaves.</p>
 
Publication, Distribution, Etc. Journal of Scientific and Industrial Research (JSIR)
2021-12-27 14:02:30
 
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http://op.niscair.res.in/index.php/JSIR/article/view/54843
 
Data Source Entry Journal of Scientific and Industrial Research (JSIR); ##issue.vol## 80, ##issue.no## 11 (2021): Journal of Scientific and Industrial Research
 
Language Note en