Precision Agriculture Revolution: Integrating Digital Twins and Advanced Crop Recommendation for Optimal Yield

Sayan Banerjee, Aniruddha Mukherjee, Suket Kamboj
2/6/2025
cs.LG

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Abstract

With the help of a digital twin structure, Agriculture 4.0 technologies like weather APIs (Application programming interface), GPS (Global Positioning System) modules, and NPK (Nitrogen, Phosphorus and Potassium) soil sensors and machine learning recommendation models, we seek to revolutionize agricultural production through this concept. In addition to providing precise crop growth forecasts, the combination of real-time data on soil composition, meteorological dynamics, and geographic coordinates aims to support crop recommendation models and simulate predictive scenarios for improved water and pesticide management.

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Cite this paper

@article{banerjee2025precision,
  title  = {Precision Agriculture Revolution: Integrating Digital Twins and Advanced Crop Recommendation for Optimal Yield},
  author = {Sayan Banerjee and Aniruddha Mukherjee and Suket Kamboj},
  year   = {2025},
  eprint = {2502.04054},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2502.04054v1}
}

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