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Comparison of Deep Learning Approaches for Plant Disease Detection

  • Shradha S. PradhanEmail author
  • Rupali Patil
Conference paper
Part of the Lecture Notes on Data Engineering and Communications Technologies book series (LNDECT, volume 36)

Abstract

To make agriculture produce better results, several disease detection methods can be used to detect the diseased plant and take on some precautionary measures. Based on recent paper reviews, disease detection can be a very lengthy and complex job. The detection of disease still remains open for more modification and detects the disease with more accuracy and efficiency. Use of CNN (Convolutional Neural Network) models with deep learning methodologies have provided a boon to plant disease detection.

Keywords

Deep learning Convolution neural networks with ALEXNET VGG and inception 

References

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Electronics & Telecommunication EngineeringK. J. Somaiya College of EngineeringMumbaiIndia

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