Agricultural Pest and Disease Detection in Banana Plant

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Authors

  • Department of Electronics and Instrumentation Engineering, Siddaganga Institute of Technology, Tumkuru ,IN
  • Department of Electronics and Instrumentation Engineering, Siddaganga Institute of Technology, Tumkuru ,IN
  • Department of Electronics and Instrumentation Engineering, Siddaganga Institute of Technology, Tumkuru ,IN
  • Department of Electronics and Instrumentation Engineering, Siddaganga Institute of Technology Tumkuru ,IN
  • Department of Electronics and Instrumentation Engineering, Siddaganga Institute of Technology Tumkuru ,IN

DOI:

https://doi.org/10.18311/jmmf/2022/31992

Keywords:

Image processing, TensorFlow lite, RGB 3D Color model, gray scale image, Object detection

Abstract

Agriculture is the primary source in providing food for the entire nation. Consequently, agriculture is the fundamental origin of food supply. The contributions of agriculture include increase in employment opportunity and economy of the nation. According to IBEF, in India 58% of entire population depends on agriculture as their main occupation. Currently 81.1% of the total agricultural production is produced by livestock farmers. There will be 50% of loss in yield because of pest and disease. The disease in the plant excitants farmers to use unsuitable pesticide which causes unfavorable consequences. This may lead to the reduction in soil and food quality. Besides it has an adverse impact on human life. Nevertheless, farmers are heedless of these effects. The diseases which are naturally created will cause a serious impact on yields also it will bring down the quality of the food and soil. The symptoms which can cause the less yield are infinitesimal and because of the less human vision potentiality it is difficult to recognize the disease. Plant diseases will require genuine identification and proper categorization of the crops. The developed advanced methodology will identify the diseases, percentage of spread area, pesticide name with the quantity of the pesticide require to heal particular disease using image processing technique.

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Published

2022-12-08

How to Cite

Murthy G N, K., A, D., Shree K J, J., M R, R., & S, T. (2022). Agricultural Pest and Disease Detection in Banana Plant. Journal of Mines, Metals and Fuels, 70(8A), 317–323. https://doi.org/10.18311/jmmf/2022/31992

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References

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