ENHANCING SMART FARMING SYSTEMS AND CROP MANAGEMENT USING IOT AND MACHINE LEARNING: A NOVEL APPROACH

Authors

  • Taruna Chopra ,Anupa Sinha

Keywords:

Smart farming, IoT, Machine Learning, Precision agriculture, Crop yield prediction, Disease detection, Sustainable agriculture, Cloud computing, Data-driven farming, Resource optimization

Abstract

With this intelligent farming, powered by integration of IoT and ML, the modern challengesof agricultural inputs such as low efficiency and sustainability are alleviated. This paperoutlines a robust framework that features an IoT sensor for real-time data collection,

References

Banerjee, A., et al. (2019). Cloud computing in agriculture: A new paradigm. Computers and Electronics in Agriculture, 162, 184-198.

Bhakta, S., & Phadikar, S. (2019). IoT-enabled smart irrigation system using machine learning. International Journal of Agricultural Engineering, 12(2), 169-176

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Published

2024-07-10

How to Cite

Taruna Chopra ,Anupa Sinha. (2024). ENHANCING SMART FARMING SYSTEMS AND CROP MANAGEMENT USING IOT AND MACHINE LEARNING: A NOVEL APPROACH. Journal of Computational Analysis and Applications (JoCAAA), 33(07), 2018–2031. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2529

Issue

Vol. 33 No. 07 (2024): JOCAAA

Section

Articles

License

Creative Commons License

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