Prediction and Analysis of Paddy Crops Disease in Artificial Intelligence Techniques

Authors

  • Tanmayee Tushar Parbat  B.E IT, Dr. Vishwanath Karad MIT World Peace University, Pune, Maharashtra, India
  • Rohan Benhal  BBA IT, Dr. Vishwanath Karad MIT World Peace University, Pune, Maharashtra, India
  • Honey Jain  B.E IT, Dr. Vishwanath Karad MIT World Peace University, Pune, Maharashtra, India
  • Dr. Vinayak Musale  Dr. Vishwanath Karad MIT World Peace University, Pune, Maharashtra, India

Keywords:

Paddy Crop, Machine Learning, Image Processing

Abstract

The survival of human beings is generally based on the proper productivity of agriculture. The paddy plant is considered as a major planting crop in improving the economical level of our country. Nowadays, the yield level of paddy crop might be minimized due to several diseases. Bacteria, fungi, virus and certain harmful insects are the main causative agents for such disease occurrence on the paddy crop. The diseases which affect the early stage of the paddy crops influences in the whole stage of crop cultivation. In early days of agriculture, the manual detection of diseases has been carried out by farmers. Image processing is one of the emerging techniques for identifying and classifying the different types of diseases and it overcomes the issues encountered during the manual detection of diseases. Image processing technique solves several issues involved in the cultivation of crops including, recognition and classification of plant diseases, discrimination of certain weeds and disease forecasting.

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

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Published

2021-12-30

Issue

Volume 7, Issue 6, November-December-2021

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Tanmayee Tushar Parbat, Rohan Benhal, Honey Jain, Dr. Vinayak Musale, " Prediction and Analysis of Paddy Crops Disease in Artificial Intelligence Techniques" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 7, Issue 6, pp.261-268, November-December-2021.