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Research Article Peer ReviewedAt least two reviewers Open Access

Crop Yield Prediction Using Machine Learning Algorithms

1G. Narayanamma Institute of Technology and Science
✉ Corresponding author: G. Malini Devi · gmalini12@gnits.ac.in
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References

  1. Bhojani, S.H., Bhatt, N. Wheat crop yield prediction using new activation functions in neural network. Neural Computing & Applications 32, 13941–13951 - 2020
  2. Choudhury, P. R. D., & Patil, P. M., A review of machine learning techniques for crop yield prediction. In Proceedings of the 2nd International Conference on Energy, Environment, and Sustainable Development (pp. 285-294), Springer - 2020
  3. Juhi Reashma S R K, & Pillai, A. S. Edaphic factors and crop growth using Machine learning – A Review. In: Proceedings of the International Conference on Intelligent Sustainable Systems (ICISS) - 2017
  4. Kumar, A., & Panigrahi, B. K. (2020). Crop yield prediction using machine learning: A review. Computers and Electronics in Agriculture, 174, 105507 - 2020
  5. L. Lei, X. Wang, H. Zhao, X. Hu, C. Luo, and Y. Zhong, Deep One Class Crop Extraction Framework for multimodal remote sensing imagery, IEEE International Geoscience and Remote Sensing Symposium IGARSS - 2021
  6. M. A. Hossain, M. N. Uddin, and Y. M. Jan, Predicting rice yield for Bangladesh by exploiting weather conditions, International Conference on Information and Communication Technology Convergence (ICTC) - 2017
  7. M. S. Teja, T. S. Preetham, L. Sujihelen, Christy, S. Jancy and M. P. Selva, Crop Recommendation and Yield Production using SVM algorithm, 6th International Conference on Intelligent Computing and Con trol Systems (ICICCS) - 2022
  8. Pradhan, P., Kumar, V., & Ramachandran, K. I. Crop yield prediction models: Recent advances and future directions. Computers and Electronics in Agriculture, 162, 967-982 - 2019
  9. Rastogi, R., & Patel, S., Crop Yield Prediction Using Machine Learning Techniques: A Comprehensive Review. International Journal of Computer Science Trends and Technology, 6(3), 96-101 – 2018
  10. Saurabh, N., Kumari, S., & Suri, B. M. Crop Yield Prediction using Machine Learning Techniques with NPK Values. In: Gupta, V., Bhatnagar, V., & Bhateja, V. (Eds.), Proceedings of International Conference on Data Engineering and Communication Technology (ICDECT), 23-33 - 2020
  11. Shreya S, Sushmita S R, Vaanathe L R and Madhumati R, Agro World: A Naive Bayes based System for Providing Agriculture as a Service, 6th International Conference on Intelligent Computing and Control Systems (ICICCS) - 2022
  12. Teja, M. S., Preetham, T. S., Sujihelen, L., Christy, & Jancy, S., Selva, M. P. Crop Recommendation and Yield Production using SVM algorithm, IEEE - 2021
  13. Tiwari, N., & Bhatt, R. Crop Yield Prediction using Machine Learning Algorithms with NPK Values. In: Kumar, N., Verma, H., & Bhatnagar, V. (Eds.), Proceedings of International Conference on Machine Intelligence and Data Science (ICMIDS), 79-89 - 2020

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Research Contributions (2019+)Peer reviewed by at least two reviewers
Open AccessCC BY 4.0
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