Optimizing Sustainable Agriculture Practices through IoT-enabled Crop Rotation and Soil Conservation: A Comprehensive Approach for Soil Health Management

Main Article Content

Ritu Raj Sondhiya
Vikash Kumar Singh

Abstract

The growing global population and the escalating demand for sustainable agricultural practices necessitate innovative solutions to enhance food production while conserving natural resources. This paper explores the potential of Internet of Things (IoT) technologies to revolutionize traditional farming methods by optimizing crop rotation and soil conservation strategies. By integrating real-time data collection from IoT sensors with advanced analytics, this study proposes a comprehensive framework for dynamic soil management and decision-making processes. The implementation of IoT not only aids in maintaining optimal soil health but also ensures efficient resource utilization, thereby reducing the environmental impact of agriculture. The effectiveness of the proposed system is demonstrated through a pilot study that showcases significant improvements in soil quality and crop yield. Additionally, this paper discusses the economic, ecological, and technical challenges of IoT adoption in agriculture and provides strategic recommendations for overcoming these barriers. The findings underscore the crucial role of IoT in achieving sustainable agriculture and food security in the 21st century, highlighting its importance as a transformative tool for modern farming practices.

Article Details

How to Cite
Sondhiya, R. R., & Singh, V. K. (2024). Optimizing Sustainable Agriculture Practices through IoT-enabled Crop Rotation and Soil Conservation: A Comprehensive Approach for Soil Health Management. CINEFORUM, 65(3), 70–78. Retrieved from https://revistadecineforum.com/index.php/cf/article/view/70
Section
Journal Article

References

Alahi, M. E. E., Sukkuea, A., Tina, F. W., Nag, A., Kurdthongmee, W., Suwannarat, K., & Mukhopadhyay, S. C. (2023). Integration of IoT-Enabled Technologies and Artificial Intelligence (AI) for Smart City Scenario: Recent Advancements and Future Trends. Sensors, 23(11), 5206. https://doi.org/10.3390/s23115206

Dhanaraju, M., Chenniappan, P., Ramalingam, K., Pazhanivelan, S., & Kaliaperumal, R. (2022). Smart Farming: Internet of Things (IoT)-Based Sustainable Agriculture. Agriculture, 12(10), 1745. https://doi.org/10.3390/agriculture12101745

Jesi, V. E., Kumar, A., Hosen, B., & D, S. D. (2022). IoT Enabled Smart Irrigation and Cultivation Recommendation System for Precision Agriculture. ECS Transactions, 107(1), 5953–5967. https://doi.org/10.1149/10701.5953ecst

Kumar, A., Shahid, M., Naim, H., & Ahmad, G. (2024). Efficient Portfolio Selection from Halal Stocks Using Genetic Algorithm (GA)-Based Solution Approach. In M. S. Uddin & J. C. Bansal (Eds.), Proceedings of International Joint Conference on Advances in Computational Intelligence (pp. 329–345). Springer Nature Singapore. https://doi.org/10.1007/978-981-97-0180-3_27

Madushanki, A. A. R., N, M., A., W., & Syed, A. (2019). Adoption of the Internet of Things (IoT) in Agriculture and Smart Farming towards Urban Greening: A Review. International Journal of Advanced Computer Science and Applications, 10(4). https://doi.org/10.14569/IJACSA.2019.0100402

Maraveas, C., & Bartzanas, T. (2021). Application of Internet of Things (IoT) for Optimized Greenhouse Environments. AgriEngineering, 3(4), 954–970. https://doi.org/10.3390/agriengineering3040060

Mohamed Firdhous, M. F., Sudantha, B. H., & Karunaratne, P. M. (2018). IoT-Powered Sustainable Dry Zone Agriculture: An Experimental Implementation. 2018 3rd International Conference on Information Technology Research (ICITR), 1–6. https://doi.org/10.1109/ICITR.2018.8736148

Patil, B. D. (n.d.). IoT and Big Data Integration for Real-Time Agricultural Monitoring.

Senapaty, M. K., Ray, A., & Padhy, N. (2023). IoT-Enabled Soil Nutrient Analysis and Crop Recommendation Model for Precision Agriculture. Computers, 12(3), 61. https://doi.org/10.3390/computers12030061

Sethuramalingam, S., & Perumal, S. A. (2021). The Transformative Impact Of Iot And Enabling Technologies For Precision Agriculture. 18(5).

Sharma, A., Sharma, A., Tselykh, A., Bozhenyuk, A., Choudhury, T., Alomar, M. A., & Sánchez-Chero, M. (2023). Artificial intelligence and internet of things oriented sustainable precision farming: Towards modern agriculture. Open Life Sciences, 18(1), 20220713. https://doi.org/10.1515/biol-2022-0713

Vangala, A., Das, A. K., Chamola, V., Korotaev, V., & Rodrigues, J. J. P. C. (2023). Security in IoT-enabled smart agriculture: Architecture, security solutions and challenges. Cluster Computing, 26(2), 879–902. https://doi.org/10.1007/s10586-022-03566-7

Yadav, S. A., Chandra, B. S., Shreya, B., Vasu, G., & Anil, U. (2023). IoT-enabled Smart Irrigation and Parameter Monitoring in Polyhouse Farming Environment for Yield Improvement. 07(06).