Web Based Leaf Disease Prediction in Crops and Fertilizer Recommendation System Using Deep Learning Technique

Authors

  • M. Nirmala  Department of Computer Applications, Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu, India
  • V. Saravanan   Department of Information Technology, Hindusthan College of Arts and Science, Coimbatore, Tamil Nadu, India
  • A. R. Jayasudha  Department of Computer Applications, Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu, India
  • Princess Maria John  Department of Computer Applications, Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu, India
  • P. Privietha  Department of Computer Applications, Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu, India
  • L. Mahalakshmi  Department of Computer Applications, Hindusthan College of Engineering and Technology, Coimbatore, Tamil Nadu, India

DOI:

https://doi.org/10.32628/IJSRSET229448

Keywords:

Agriculture, Leaf Disease, Fertilizer Recommendation, Deep Learning, Image Processing

Abstract

Agriculture is the considered as the back bone of India. Agriculture is the most important sector in today’s life. Many plants are affected by various diseases which naturally drops the yield of the crop production in turn farmers are seriously affected. A web-based tool Flask is used to create an application for routing the web pages and also the designing part involves HTML, CSS and static pages. The Data set contains images of the diseased plants of both vegetables and fruits. These images are trained and tested using Deep learning Model building and the appropriate model is created and saved. This saved model is interlinked with the web page for Prediction and recommendation system. An automated system is introduced in the form of identifying different diseases on plants by checking the symptoms shown on the leaves of the plant. Deep learning techniques are used to identify the diseases and suggest the precautions that can be taken for those diseases. To make the system user friendly a User Interface is created for easy access and usage by the farmers. This application will be very useful for farmers.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2022-08-30

Issue

Volume 9, Issue 4, July-August-2022

Section

Research Articles

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

How to Cite

[1]
M. Nirmala, V. Saravanan , A. R. Jayasudha, Princess Maria John, P. Privietha, L. Mahalakshmi "Web Based Leaf Disease Prediction in Crops and Fertilizer Recommendation System Using Deep Learning Technique " International Journal of Scientific Research in Science, Engineering and Technology (IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 9, Issue 4, pp.300-311, July-August-2022. Available at doi : https://doi.org/10.32628/IJSRSET229448