Work place: Department of Botany, Vikash Degree College
Research Interests: Computational Biology, Biology, Biology & Life Sciences
Ritu Panda, currently continuing her graduation as a student of B.Sc. (Bachelor of Science) in Botany as Honors subject from Vikash Degree College, Bargarh. Her subjects of interests are plant physiology, study on plant disease identification and eradication, microbiology.
DOI: https://doi.org/10.5815/ijigsp.2018.10.02, Pub. Date: 8 Oct. 2018
Plant is a gift of almighty to the living being in the earth. Leaf is an essential component for any types of plant including crops, fruit and vegetables. Before the scheduled decay of the leaf due to deficiency there are patches of dead zone spot or sections generally visible. This paper introduces a novel image based analysis to identify patches of dead zone spot or sections generally visible due to deficiency. Clustering, colour object based segmentation and colour transformation techniques using significant salient features identification are applied over 12 plant leaves collected naturally from gardens and crop fields. Hue, saturation and Value based and L*a*b* colour model based object analysis is being applied over diseased leaf and portion of leaf to identify the dead zone automatically. Derivative based edge analysis is being applied to identify the outline edge and dead zone segmentation in leaf image. K-means clustering has played an important role to cluster dead zone using colour based object area segmentation.[...] Read more.
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