The Internet of Things (IoT) in Farming: Smart Solutions for a Sustainable Future
DOI:
https://doi.org/10.47941/ijpid.2650Keywords:
Internet of Things (IoT), Precision Farming, Smart Agriculture, Livestock Management, Sustainable Farming PracticesAbstract
The rapid integration of the Internet of Things (IoT) in agriculture is revolutionizing farming practices, offering smart, data-driven solutions to address global challenges like food insecurity, resource inefficiency, and environmental degradation. This paper explores the transformative role of IoT in precision agriculture, livestock management, and the development of agriculture hubs worldwide. Drawing on global case studies, the study highlights the tangible benefits of IoT, such as a 25% increase in crop yields, 30% reduction in water usage, and improved animal health and traceability. It emphasizes the synergy between IoT, AI, robotics, and blockchain in shaping future farming systems. Countries like India, the Netherlands, and Brazil are showcased as leaders in deploying IoT-enabled solutions for both smallholder and large-scale farming operations. While technological, infrastructural, and financial barriers remain especially in developing regions interventions by organizations like FAO and the World Bank are helping to bridge these gaps. The research underscores the need for increased investment in IoT-driven agriculture to ensure long-term sustainability, food security, and environmental stewardship. Thus, the paper concludes that IoT is not just an innovation but a necessity for the evolution of global agriculture in the face of growing population demands and climate change.
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Adewusi, A. O., Franca Asuzu, O., Olorunsogo, T., Iwuanyanwu, C., Adaga, E., & Daraojimba, D. O. (2024). AI in precision agriculture: A review of technologies for sustainable farming practices. Wjarr.Co.In, 2024(01), 2276–2285. https://doi.org/10.30574/wjarr.2024.21.1.0314
Adewuyi, A. Y., Anyibama, B., Adebayo, K. B., Kalinzi, J. M., Adeniyi, S. A., & Wada, I. (2024). Precision agriculture: Leveraging data science for sustainable farming. Repository-Ijsra.Com, 2024(02), 1122–1129. https://doi.org/10.30574/ijsra.2024.12.2.1371
Awan, S. H., Ahmed, S., Safwan, N., Najam, Z., Hashim, M. Z., & Safdar, T. (2019). Role of internet of things (IoT) with blockchain technology for the development of smart farming. J. Mech. Cont.& Math. Sci, 14(5), 170–188. https://doi.org/10.26782/jmcms.2019.10.00014
Baumüller, H. (2017). Towards Smart Farming? Mobile technology trends and their potential for developing country agriculture. Handbook on ICT in Developing Countries: 5G Perspective English, 191–210. https://doi.org/10.1201/9781003338376-9/TOWARDS-SMART-Farming-Mobile-Technology-Trends-Potential-Developing-Country-Agriculture-Heike-Baum
Bolaji, K., Adisa, S., … D. A.-P. of, & 2024, undefined. (2024). Leveraging Precision Agriculture for Sustainable Food Security in Nigeria. Journals.Unizik.Edu.Ng, 12. https://journals.unizik.edu.ng/faic/article/view/3501
Choruma, D. J., Dirwai, T. L., Mutenje, M. J., Mustafa, M., Chimonyo, V. G. P., Jacobs-Mata, I., & Mabhaudhi, T. (2024). Digitalisation in agriculture: A scoping review of technologies in practice, challenges, and opportunities for smallholder farmers in sub-saharan africa. Journal of Agriculture and Food Research, 18. https://doi.org/10.1016/j.jafr.2024.101286
Deere, J. (2022). John Deere: Pioneering the Future with Agricultural IoT Technology. https://www.counterpointresearch.com/insights/john-deere-connected-agriculture/
Duc Ha, C., Duc Chien, L., Truong Trinh, P., Van Tien, T., Phuong Thu, P., Tien Dung, L., Minh Trien, P., Đức Hà, C., Đức Chiến, L., Trường Trinh, P., Văn Tiến, T., Phương Thu, P., Tiến Dũng, L., & Minh Triển, P. (2023). IoT solutions for smart farming: A comprehensive review on the current trends, challenges and future prospects for sustainable agriculture. Journal.Vnuf.Edu.Vn, 8(2). https://doi.org/10.55250/jo.vnuf.8.2.2023.028-035
Duguma, A. L., & Bai, X. (2025). How the internet of things technology improves agricultural efficiency. Artificial Intelligence Review, 58(2). https://doi.org/10.1007/S10462-024-11046-0
Klerkx, L., Jakku, E., & Labarthe, P. (2019). A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda. NJAS - Wageningen Journal of Life Sciences, 90–91. https://doi.org/10.1016/j.njas.2019.100315
Kumar, N. (2023). Leveraging artificial intelligence in agriculture: transforming the future of farming. https://illuminem.com/illuminemvoices/leveraging-artificial-intelligence-in-agriculture-transforming-the-future-of-farming?post=72115
Lee, M., Kim, H., Hwang, H. J., & Yoe, H. (2020). IoT Based Management System for Livestock Farming. Lecture Notes in Electrical Engineering, 536 LNEE, 195–201. https://doi.org/10.1007/978-981-13-9341-9_33
Lima, G. C., Figueiredo, F. L., Barbieri, A. E., & Seki, J. (2021). Agro 4.0: Enabling agriculture digital transformation through IoT. Revista Ciência Agronômica, 51(5), e20207771. https://doi.org/10.5935/1806-6690.20200100
Marinello, F., Zou, X., Liu, Z., Zhu, X., Zhang, W., Qian, Y., Li, Y., Karunathilake, E. M. B. M., Le, A. T., Heo, S., Chung, Y. S., & Mansoor, S. (2023a). The path to smart farming: Innovations and opportunities in precision agriculture. Mdpi.Com. https://doi.org/10.3390/agriculture13081593
Marinello, F., Zou, X., Liu, Z., Zhu, X., Zhang, W., Qian, Y., Li, Y., Karunathilake, E. M. B. M., Le, A. T., Heo, S., Chung, Y. S., & Mansoor, S. (2023b). The path to smart farming: Innovations and opportunities in precision agriculture. Mdpi.Com. https://doi.org/10.3390/agriculture13081593
Morchid, A., El Alami, R., Raezah, A. A., & Sabbar, Y. (2024). Applications of internet of things (IoT) and sensors technology to increase food security and agricultural Sustainability: Benefits and challenges. Ain Shams Engineering Journal, 15(3). https://doi.org/10.1016/j.asej.2023.102509
Morepje, M. T., Sithole, M. Z., Msweli, N. S., & Agholor, A. I. (2024). The Influence of E-Commerce Platforms on Sustainable Agriculture Practices among Smallholder Farmers in Sub-Saharan Africa. Sustainability 2024, Vol. 16, Page 6496, 16(15), 6496. https://doi.org/10.3390/SU16156496
Naik, G., & Suresh, D. N. (2018). Challenges of creating sustainable agri-retail supply chains. IIMB Management Review, 30(3), 270–282. https://doi.org/10.1016/j.iimb.2018.04.001
NITI Aayog. (2024). The report covering projections of Demand and Supply of Crops and Livestock Products and Agriculture Inputs for Crop Husbandry, agriCulture Inputs, demand & supply Working Group Report on.
O’Shaughnessy, S. A., Kim, M., Lee, S., Kim, Y., Kim, H., & Shekailo, J. (2021). Towards smart farming solutions in the U.S. and South Korea: A comparison of the current status. Geography and Sustainability, 2(4), 312–327. https://doi.org/10.1016/j.geosus.2021.12.002
Raj, E. F. I., Appadurai, M., & Athiappan, K. (2021). Precision Farming in Modern Agriculture. 61–87. https://doi.org/10.1007/978-981-16-6124-2_4
Rajak, P., Ganguly, A., Adhikary, S., & Bhattacharya, S. (2023). Internet of Things and smart sensors in agriculture: Scopes and challenges. Journal of Agriculture and Food Research, 14. https://doi.org/10.1016/j.jafr.2023.100776
Ramadevi, G., … G. A. S.-A. P. and, & 2022, undefined. (2022). Role of IoT in intelligent agriculture network system. Ebooks.Iospress.Nl, 27, 218–223. https://doi.org/10.3233/ATDE220745
Rehman, A. U., Alamoudi, Y., Khalid, H. M., Morchid, A., Muyeen, S. M., & Abdelaziz, A. Y. (2024). Smart agriculture technology: An integrated framework of renewable energy resources, IoT-based energy management, and precision robotics. Cleaner Energy Systems, 9. https://doi.org/10.1016/j.cles.2024.100132
Saravanan, K., & Saraniya, S. (2018). Cloud IOT based novel livestock monitoring and identification system using UID. Sensor Review, 38(1), 21–33. https://doi.org/10.1108/SR-08-2017-0152/FULL/HTML
Shahab, H., Iqbal, M., Sohaib, A., Rehman, A. ur, Bermak, A., & Munir, K. (2024). Design and implementation of an IoT-based monitoring system for early detection of lumpy skin disease in cattle. Smart Agricultural Technology, 9, 100609. https://doi.org/10.1016/J.ATECH.2024.100609
Shahab, H., Iqbal, M., Sohaib, A., Ullah Khan, F., & Waqas, M. (2024). IoT-based agriculture management techniques for sustainable farming: A comprehensive review. Computers and Electronics in Agriculture, 220. https://doi.org/10.1016/j.compag.2024.108851
Sharma, A., Sharma, A., Tselykh, A., Bozhenyuk, A., Choudhury, T., Abdu Alomar, M., & Sánchez-Chero, M. (2023). Artificial intelligence and internet of things oriented sustainable precision farming: Towards modern agriculture. Degruyter.Com. https://doi.org/10.1515/biol-2022-0713
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). https://doi.org/10.1515/BIOL-2022-0713/HTML
Zerihun, B. M., Olwal, T. O., & Hassen, M. R. (2022). Design and Analysis of IoT-Based Modern Agriculture Monitoring System for Real-Time Data Collection. 73–82. https://doi.org/10.1007/978-981-16-9991-7_5
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