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A GUI based Plant Leaf Disease Prediction using Deep Learning Approach
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 185 - Number 41 |
| Year of Publication: 2023 |
| Authors: Reddy Anantha, S. Pallam Setty |
10.5120/ijca2023923210
|
Reddy Anantha, S. Pallam Setty . A GUI based Plant Leaf Disease Prediction using Deep Learning Approach. International Journal of Computer Applications. 185, 41 ( Nov 2023), 6-9. DOI=10.5120/ijca2023923210
Abstract
Indian economy is highly dependent on agricultural productivity. In field of agriculture detection of leaf disease plays a important role. Therefore, early identification and diagnosis of plant diseases at every stage of plant life cycle is a very critical approach to protect and increase the crop yield. In this project using a deep-learning model, we present a classification system based on real-time images for early identification of plant infection.The proposed classification was applied on each stage of the plant separately to obtain the largest data set and manifestation of each disease stage. The plant stages named in relation to disease stage as healthy (uninfected), early infection, and diseased (late infection). Classification was designed using the residual neural network (RCNN). After applying the automatic RCNN model to automatically diagnose test photographs, plant pathologists approved the findings.
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