Crop production optimisation: a blended technique using XGBoost and Simulated Annealing

  • Unique Paper ID: 166722
  • Volume: 11
  • Issue: 2
  • PageNo: 1729-1734
  • Abstract:
  • India's economy thrives mainly because of agriculture, which takes care of billions of people. Even so, it requires a new way to help improve crop production since there exist problems like over population, changing weather patterns or need for sustainable practices. The authors of this paper decided to introduce a different technique for boosting crop yields in different parts of India through a combination of Simulated Annealing (SA) and Extreme Gradient Boosting (XGBoost) models. The methodology aims at making crop management approaches better suited.

Copyright & License

Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{166722,
        author = {Mallyala Nissie and Kasarla Sai Anirudh},
        title = {Crop production optimisation: a blended technique using XGBoost and Simulated Annealing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {2},
        pages = {1729-1734},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=166722},
        abstract = {India's economy thrives mainly because of agriculture, which takes care of billions of people. Even so, it requires a new way to help improve crop production since there exist problems like over population, changing weather patterns or need for sustainable practices. The authors of this paper decided to introduce a different technique for boosting crop yields in different parts of India through a combination of Simulated Annealing (SA) and Extreme Gradient Boosting (XGBoost) models. The methodology aims at making crop management approaches better suited.},
        keywords = {Farming, Machine learning, Stimulated Annealing, XGBoost},
        month = {July},
        }

Cite This Article

  • ISSN: 2349-6002
  • Volume: 11
  • Issue: 2
  • PageNo: 1729-1734

Crop production optimisation: a blended technique using XGBoost and Simulated Annealing

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