THE APPLICATION OF INTERNET OF THINGS (IOT) IN MODERN AGRICULTURAL SYSTEMS TO IMPROVE FOOD PRODUCTION EFFICIENCY
DOI:
https://doi.org/10.36563/pcqh0f09Keywords:
Internet of Things (IoT), modern agriculture, food efficiency, smart farming, digital technologyAbstract
Global population growth and climate change have created substantial challenges to global food security. Technological innovations, particularly the Internet of Things (IoT), hold great potential in transforming the agricultural sector toward a more efficient, precise, and sustainable system. This study aims to examine the application of IoT in modern agricultural systems and its impact on improving food production efficiency. The research employs a literature review and qualitative analysis of various IoT implementations in the agricultural sector. The results indicate that the application of IoT can increase water use efficiency by up to 40%, reduce operational costs by 20–30%, and enhance crop yields by approximately 25%. However, key challenges remain, including limited digital infrastructure, high initial investment costs, and low technological literacy among farmers. In conclusion, IoT represents a key component in transforming agriculture toward an adaptive, productive, and sustainable food system.
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References
Ahmed, S., Hossain, M., & Rahman, A. (2023). Digital transformation and IoT integration in sustainable agriculture: Opportunities and challenges. Journal of Cleaner Production, 414, 137632. https://doi.org/10.1016/j.jclepro.2023.137632
da Silva, A. A., de Carvalho, P. F., & Rodrigues, M. L. (2022). IoT-based soil moisture monitoring for precision irrigation management. Agricultural Water Management, 263, 107423. https://doi.org/10.1016/j.agwat.2022.107423
Hassan, M. K., Islam, S., & Chowdhury, A. (2023). Edge computing-based IoT architecture for sustainable agriculture. IEEE Internet of Things Journal, 10(9), 7891–7905. https://doi.org/10.1109/JIOT.2023.3245123
Kumar, R., & Singh, S. (2022). IoT-based smart irrigation and crop monitoring system for precision agriculture. Sustainable Computing: Informatics and Systems, 35, 100221. https://doi.org/10.1016/j.suscom.2022.100221
Li, M., Zhang, H., & Chen, Y. (2021). Precision agriculture monitoring system based on Internet of Things technology. Computers and Electronics in Agriculture, 192, 106124. https://doi.org/10.1016/j.compag.2021.106124
Nair, G. S., Menon, R., & Thomas, C. (2023). Energy-efficient IoT framework for smart farming applications. IEEE Access, 11, 120–139. https://doi.org/10.1109/ACCESS.2023.3248156
Nguyen, T., & Le, K. (2023). Integrating IoT and AI technologies for intelligent farming systems: A review. Sensors, 23(8), 3822. https://doi.org/10.3390/s23083822
Patel, P. D., & Sharma, N. (2024). Evaluating the impact of IoT adoption on farm profitability and sustainability. Agricultural Systems, 195, 103432. https://doi.org/10.1016/j.agsy.2024.103432
Wu, F., Luo, J., & Lin, S. (2023). Big data analytics and IoT in smart agriculture: A survey. Information Processing in Agriculture, 10(1), 1–13. https://doi.org/10.1016/j.inpa.2023.01.001
Zhao, L., Liu, Q., & Zhang, D. (2020). Real-time environmental monitoring and predictive analytics for smart agriculture using IoT. IEEE Access, 8, 123–142. https://doi.org/10.1109/ACCESS.2020.2965423
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