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
Proceedings Proceeding of the Cognitive Models and Artificial Intelligence Conference
Volume 17 Pages 40–43 Year 2024
References
- Bhojani, S.H., Bhatt, N. Wheat crop yield prediction using new activation functions in neural network. Neural Computing & Applications 32, 13941–13951 - 2020
- 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
- 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
- Kumar, A., & Panigrahi, B. K. (2020). Crop yield prediction using machine learning: A review. Computers and Electronics in Agriculture, 174, 105507 - 2020
- 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
- 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
- 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
- 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
- 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
- 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
- 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
- Teja, M. S., Preetham, T. S., Sujihelen, L., Christy, & Jancy, S., Selva, M. P. Crop Recommendation and Yield Production using SVM algorithm, IEEE - 2021
- 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
Cited by
1 — Crossref — cited-by count (retrieved 2 Oct 2026, source)
Citation counts are shown with their source and retrieval date. They are not an Impact Factor or any journal-level metric.