Digital Intelligence for Global Good
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Image Processing for Smart Agriculture and Precision Farming

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  • Sumana Chakraborty
Sumana Chakraborty
Assistant Professor, Dept. of CSE (Swami Vivekananda University)

Published 2025-12-22

Keywords

  • image processing,
  • smart agriculture,
  • precision farming,
  • crop monitoring,
  • machine learning,
  • remote sensing,
  • drone technology,
  • satellite imagery,
  • yield prediction,
  • sustainability,
  • pest detection,
  • irrigation management,
  • agricultural automation
    • ...More
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How to Cite

Chakraborty, Sumana. “Image Processing for Smart Agriculture and Precision Farming”. Swami Vivekananda University Press, Dec. 2025, pp. 115-20, https://swamivivekanandauniversitypress.com/index.php/svup/article/view/218.

Copyright (c) 2025 Swami Vivekananda University Press

Creative Commons License

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

Abstract

Precision farming and smart agriculture are revolutionizing traditional farming practices by incorporating modern technologies like image processing, machine learning, and remote sensing. This paper explores how image processing techniques can be applied to monitor crops, detect diseases, optimize irrigation, and improve yield predictions in precision farming. Through the use of drones, satellite imagery, and ground-based sensors, farmers can obtain real-time data for more efficient and sustainable agricultural practices. The integration of these technologies promises not only to increase productivity but also to reduce water usage, limit chemical applications, and promote sustainable agriculture.

DOI - https://doi.org/10.65525/SVUP.9788199565463.2026.115-120

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