Review and Further Prospects of Plant Disease Detection Using Machine Learning

Authors

  • Vempati Ramsanthosh  Department of Computer Science & Engineering, Lovely Professional University, Punjab, India
  • Anati Sai Laxmi  Department of Computer Science & Engineering, Lovely Professional University, Punjab, India
  • Chepuri Sai Abhinay  Department of Computer Science & Engineering, Lovely Professional University, Punjab, India
  • Vadepally Santosh  Department of Computer Science & Engineering, Lovely Professional University, Punjab, India
  • Vybhav Kothareddy  Department of Computer Science & Engineering, Lovely Professional University, Punjab, India
  • Shivali Chopra  Department of Computer Science & Engineering, Lovely Professional University, Punjab, India

DOI:

https://doi.org//10.32628/CSEIT217324

Keywords:

Plant diseases detection, image acquisition, image segmentation, features extraction.

Abstract

Identifying of the plant diseases is essential in prevention of yield and volume losses in agriculture Product. Studies of plant diseases mean studies of visually observable patterns on the plant. Health surveillance and detecting diseases in plants is essential for sustainable development agriculture. It is very difficult to monitor plant diseases manually. It requires a lot of experiences in work, expertise in these field plant diseases and also requires excessive processing time. Therefore; image processing is used to detect plant diseases. Disease detection includes steps such as acquisition, image Pre-processing, image segmentation, feature extraction and Classification. We describe these methods for the detection of plant diseases on the basis of their leaf images; automatic detection of plant disease is done by the image processing and machine learning. The different leaf images of plant disease are collected and feature extracted of the various machine learning methods.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2021-06-30

Issue

Volume 7, Issue 3, May-June-2021

Section

Research Articles

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How to Cite

[1]
Vempati Ramsanthosh, Anati Sai Laxmi, Chepuri Sai Abhinay, Vadepally Santosh, Vybhav Kothareddy, Shivali Chopra, " Review and Further Prospects of Plant Disease Detection Using Machine Learning, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 3, pp.105-115, May-June-2021. Available at doi : https://doi.org/10.32628/CSEIT217324