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Deep learning methods for identifying diseases in plants: A survey

EasyChair Preprint no. 7018

9 pagesDate: November 10, 2021


Deep learning which can be considered as a subset of machine learning which again is a subset of artificial intelligence is a recent trend on which researches are being carried out. Deep learning and transfer learning are two different approaches connected with the process of identifying various plant illnesses. This research focuses on deep learning approaches and highlights current advancements in the application of these cutting-edge technology to agricultural disease picture recognition. The summary of deep learning approaches used to identify various illnesses in plants such as tomato, strawberry, peach, onion, corn, and so on...

Keyphrases: agricultural diseases, deep learning, Plant disease identification

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {N Raji and S Manohar and M Surya},
  title = {Deep learning methods for identifying diseases in plants: A survey},
  howpublished = {EasyChair Preprint no. 7018},

  year = {EasyChair, 2021}}
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