Plant Leaf Disease Recognition Using Deep Learning Approach

  • Dr. G. PRABAHARAN, D. SANGEETHA DEVI, K. SOWMIYA, D. RAMANI

Abstract

Sharp developing system using crucial establishment is an inventive advancement that improves the quality and measure of cultivating creation in the country. Plant leaf disease has for a long while been one of the critical perils to sustenance security since it definitely diminishes the reap yield and deals its quality. Correct examination of disorders has been a tremendous test and he progressing propels in PC vision made possible by significant learning has arranged for camera-helped disease assurance for plant leaf. Our project delineated the inventive course of action that gives capable ailment ID and significant learning with convolutional neural frameworks has gained unbelievable ground in the request for various plant leaf diseases. A grouping of neuron-wise and layer-wise recognition methods were applied using a Convolution Neural Network(CNN), arranged with a straightforwardly open plant disease given picture dataset. It saw that neural frameworks can get the tints and surfaces of wounds express to specific afflictions upon examination, which resembles human dynamic.

Published
2020-05-15
How to Cite
Dr. G. PRABAHARAN, D. SANGEETHA DEVI, K. SOWMIYA, D. RAMANI. (2020). Plant Leaf Disease Recognition Using Deep Learning Approach. International Journal of Advanced Science and Technology, 29(10s), 7400 - 7416. Retrieved from https://sersc.org/journals/index.php/IJAST/article/view/23702
Section
Articles