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Original Article
Farm Assist – Comprehensive Scheme Recommendation System for Enhanced Farming
Yogita Fatangare1
Chandrakesh Ram2
Sanskruti Magdum3
Shubham Panchal4
Darshan Deshmukh5
1Assistant Professor, Dept. of I.T., P.E.S Modern College of Engineering, Savitribai Phule Pune University, Maharashtra, India. 2345Dept. of I.T., P.E.S Modern College of Engineering, Savitribai Phule Pune University, Maharashtra, India.
Published Online: March-April 2024
Pages: 46-50
Cite this article
↗ https://www.doi.org/10.59256/ijrtmr.20240402008
References
1. Ajith, V., & Kalai Lakshmi, T.R. (2021). A Study on Farmers Perception Towards the Benefits of Agricultural Schemes of Govt. of Tamil
Nadu. International Journal of Creative Research Thoughts.
2. Jiao, Y., Zhang, S., & Lv, H. (Year). Research on Recommendation System of Agricultural Product Logistics Scale Control Based on
Consumer Behavior.
3. Kumar, M. M., & Gnanamani, D. (2022). A Study on Awareness and Impact of Government Schemes for Farmers in Coimbatore City.
International Journal of Research Publication and Reviews
4. Gaikwad, S. R., Thorat, K. S., Deshmukh, J. M., & Samrit, V. B. (2021). Awareness of Farmers about Schemes for Doubling Farm
Income. International Journal of Current Microbiology and Applied Sciences.
5. Naik, A., Amruthamala, Kavya, Kumara, V., Kanchan, H., & Shetty, V. (2023). Empowering Farmers, Enriching Lives: The One Stop
Solution for Agricultural Assistance. Journal of Advanced Zoology.
6. Davis, K., et al. (2012). Digital Green: Participatory Video and Mediated Instruction for Agricultural Extension. In Proceedings of the
Fifth International Conference on Information and Communication Technologies and Development (ICTD).
7. Khan, S., et al. (2019). AgriNet: An IoT Based Agriculture Assistance System. In 2019 20th International Conference on Parallel and
Distributed Computing, Applications and Technologies (PDCAT).
8. Ranveer, C., et al. (2018). FarmBeats: An IoT Platform for Data-Driven Agriculture. In Proceedings of the ACM on Interactive, Mobile,
Wearable and Ubiquitous Technologies.
9. citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&d oi=c9f96d22422953625f1f8d9dbee221cba38e6c08
10. Liu, H., et al. (2016). Review of Recent Advances in Precision Agriculture Technology. International Journal of Agricultural and
Biological Engineering, 9(5), 1-9
Nadu. International Journal of Creative Research Thoughts.
2. Jiao, Y., Zhang, S., & Lv, H. (Year). Research on Recommendation System of Agricultural Product Logistics Scale Control Based on
Consumer Behavior.
3. Kumar, M. M., & Gnanamani, D. (2022). A Study on Awareness and Impact of Government Schemes for Farmers in Coimbatore City.
International Journal of Research Publication and Reviews
4. Gaikwad, S. R., Thorat, K. S., Deshmukh, J. M., & Samrit, V. B. (2021). Awareness of Farmers about Schemes for Doubling Farm
Income. International Journal of Current Microbiology and Applied Sciences.
5. Naik, A., Amruthamala, Kavya, Kumara, V., Kanchan, H., & Shetty, V. (2023). Empowering Farmers, Enriching Lives: The One Stop
Solution for Agricultural Assistance. Journal of Advanced Zoology.
6. Davis, K., et al. (2012). Digital Green: Participatory Video and Mediated Instruction for Agricultural Extension. In Proceedings of the
Fifth International Conference on Information and Communication Technologies and Development (ICTD).
7. Khan, S., et al. (2019). AgriNet: An IoT Based Agriculture Assistance System. In 2019 20th International Conference on Parallel and
Distributed Computing, Applications and Technologies (PDCAT).
8. Ranveer, C., et al. (2018). FarmBeats: An IoT Platform for Data-Driven Agriculture. In Proceedings of the ACM on Interactive, Mobile,
Wearable and Ubiquitous Technologies.
9. citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&d oi=c9f96d22422953625f1f8d9dbee221cba38e6c08
10. Liu, H., et al. (2016). Review of Recent Advances in Precision Agriculture Technology. International Journal of Agricultural and
Biological Engineering, 9(5), 1-9
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