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additional factors such as economic variables, market trends, [5] Sabharwal, A., & Reddy, S. R. N. (2024). Optimizing
and disease forecasts to refine the recommendation system Crop Predictions: A Machine Learning Approach
further. Expanding the dataset and integrating current Incorporating Environmental Parameters and
weather information could also enhance the model's Nutrient Management. Proceedings of the
precision and applicability across diverse regions. Continued International Conference on Agricultural Innovations,
progress in these technologies has the potential to steer the 58(1), 10-15.
agricultural sector toward more sustainable and efficient [6] A. Sabharwal and S. Reddy, "Optimizing Crop
farming practices.
Predictions: A Machine Learning Approach
Reference Incorporating Environmental Parameters and
[1] Ruchirawya, T. H., Bandara, P., & Weerasooriya, T. Nutrient Management," 2024 International Conference
(2020). Crop Recommendation System. International on Computational Intelligence and Computing
Journal of Computer Applications, 175(22), 22-28. Applications (ICCICA), Samalkha, India, 2024, pp. 75-
[2] Pravallika, N., Nikhil, Y., Yogi, M., & Lalit, M. (2023). 79, doi: 10.1109/ICCICA60014.2024.10584911
Crop Recommendation System Using Machine [7] Sharma, A., Arya, A., & Joshi, A. (2024). Crop
Learning: A Comparative Study. KEC Conference, 1(1), Recommendation System. International Journal of
2-8, DOI: https://doi.org/10.3126/injet.v1i2.66708 Research Publication and Reviews, 5(4), 50-55. DOI:
[3] Sharma, V., Vats, S., Rawat, P., & Bajaj, M. (2023). Crop 10.55248/gengpi.2024.5.5.1095-1098.
Recommendation System: A Review. In Advances in [8] Usha Kosarkar, Gopal Sakarkar, Shilpa Gedam (2022),
Smart Agriculture (pp. 45-60). Springer. “An Analytical Perspective on Various Deep Learning
[4] Kumar, R. B., Kempegowda, B., Celso, A. B., & Techniques for Deepfake Detection”, 1st International
Conference on Artificial Intelligence and Big Data
Sushmitha, R. (2019). Crop Recommendation System
Analytics (ICAIBDA), 10th & 11th June 2022, 2456-
for Precision Agriculture. International Journal of
3463, Volume 7, PP. 25-30,
Computer Sciences and Engineering, 7(5), 1-5.
https://doi.org/10.46335/IJIES.2022.7.8.5
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