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Plant Leaf Disease Recognition Using Deep Learning Approach

EasyChair Preprint no. 2953

8 pagesDate: March 14, 2020


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 we progressing propels in PC vision made possible by significant learning has arranged for camera-helped disease assurance for plant leaf. The proposed system 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 CNN, arranged with a straightforwardly open plant disease given picture dataset. Neural frameworks can get the tints and surfaces of wounds express to specific afflictions upon examination, which resembles human dynamic.

Keyphrases: deep learning, disease detection, TensorFlow

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {G. Prabaharan and Sangeetha Devendran and K. Sowmiya and D. Ramani},
  title = {Plant Leaf Disease Recognition Using Deep Learning Approach},
  howpublished = {EasyChair Preprint no. 2953},

  year = {EasyChair, 2020}}
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