Deep Neural Networks Based Disease Detection in Family of Cashew Plants by Leaf Image Classification
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 6
Abstract
Recognizable proof of the plant maladies is the way to keeping the misfortunes in the yield and amount of the horticultural item. The investigations of the plant maladies mean the investigations of outwardly perceptible examples seen on the plant. Wellbeing observing and sickness recognition on plant is exceptionally basic for maintainable farming. It is exceptionally hard to screen the plant illnesses physically. It requires enormous measure of work, aptitude in the plant illnesses, and furthermore requires the over the top preparing time. This venture is worried about another way to deal with the improvement of plant malady acknowledgment demonstrate, in light of leaf picture grouping, by the utilization of a non-parametric strategy named as k-closest neighbors calculation (k-NN) for order. The division procedure depends on the distinctive highlights found in the picture. The division of the picture is performed utilizing Fuzzy C-Means calculation. The created demonstrate can perceive three distinct sorts of plant sicknesses out of solid leaves, with the capacity to recognize plant leaves from their environment.
Authors and Affiliations
Pravallika Rudraraju, Y. Vineela Sravya
Keywords
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- EP ID EP397370
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