A Review : Plant Disease Detection Various Techniques

Authors

  • Ramdash Gupta  M Tech Scholar, Computer Science & Engineering, Millennium Institute of Technology, Bhopal, India
  • Prof. Vinod Mahor  Assistant Professor, Computer Science & Engineering, Millennium Institute of Technology, Bhopal, India

Keywords:

Plant Disease Detection, Image Processing, Image Acquisition, Segmentation, Feature Extraction, Classification.

Abstract

In terms of productivity, economics, quality, and quantity of agricultural goods, plant diseases result in significant losses. Since agriculture accounts for 70% of India's GDP, it is important to reduce the damage that plant diseases do. To prevent such illnesses, plants need to be watched carefully from the very beginning of their life cycle. The conventional approach to this monitoring is naked eye inspection, which takes more time, costs more money, and requires a high level of competence. Therefore, the illness detection system needs to be automated in order to speed up this procedure. Image processing techniques must be used to create the illness detection system. Numerous researchers have created systems based on various image processing methods. In order to promote agriculture, this research examines the possibilities of plant leaf disease detection techniques. It involves a number of steps, including picture capture, image segmentation, feature extraction, and classification.

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

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Published

2023-02-20

Issue

Volume 9, Issue 1, January-February-2023

Section

Research Articles

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How to Cite

[1]
Ramdash Gupta, Prof. Vinod Mahor, " A Review : Plant Disease Detection Various Techniques" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 1, pp.278-286, January-February-2023.