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Plant Leaf Diseases Recognition Using Convolutional Neural Network and Transfer Learning

  • J. Arunnehru
  • B. S. Vidhyasagar
  • H. Anwar Basha
Chapter
  • 36 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 637)

Abstract

In field of modern agriculture, artificial intelligence plays a major role in crop protection. Plant diseases have always been a cause of great concern to plant growth and crop cultivation around the globe. Plant diseases can affect plants from day-to-day activities. These diseases not only have serious consequences on plants health but also on human health affecting in various ways such as spreading viruses, bacteria, and fungi causing infections. The improvement in computer vision and increasing smartphone penetration have paved the way for deep learning possible through smartphone-assisted diagnosis. Deep learning is used on a large amount of data and it is a self-learning technique. We propose an additional method to classify the diseased leaves using the transfer learning on top of convolutional neural network model to improve the efficacy of image processing while applying deep learning.

Keywords

Artificial intelligence Leaf diseases Image segmentation Object detection Convolutional neural network Transfer learning 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  • J. Arunnehru
    • 1
  • B. S. Vidhyasagar
    • 1
  • H. Anwar Basha
    • 1
  1. 1.Department of Computer Science and EngineeringSRM Institute of Science and TechnologyVadapalani, ChennaiIndia

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