Rohit Birdawade,
Shreya Bhosale,
Deepak Khaladkar,
Shivanjali Dhumal,
Priyanka Mankar,
S. B. Patil,
- Student, Computer Engineering Department, Rajgad Dnyanpeeth;s Shree Chhatrapati Shivajiraje College of Engineering, Maharastra, India
- Student, Computer Engineering Department, Rajgad Dnyanpeeth;s Shree Chhatrapati Shivajiraje College of Engineering, Maharastra, India
- , Electronics and Telecommunication Engineering, Rajgad Dnyanpeeth “s Shree Chhatrapati Shivajiraje College of Engineering, Maharastra, India
- , Electronics and Telecommunication Engineering, Rajgad Dnyanpeeth “s Shree Chhatrapati Shivajiraje College of Engineering, Maharastra, India
- , Electronics and Telecommunication Engineering, Rajgad Dnyanpeeth “s Shree Chhatrapati Shivajiraje College of Engineering, Maharastra, India
- Principal, Rajgad Dnyanpeeth’s:Shree Chhatrapati Shivajiraje College of Engineering,, Maharastra, India
Abstract
The increasing demand for food production, environmental concerns, and resource limitations have necessitated the adoption of Internet of Things (IoT)-based innovative farming solutions. The current paper introduces an IoT-based system that integrates hydroponics, aquaponics, and poultry to promote sustainability, resource utilization, and agricultural productivity. Conventional farming practices are riddled with ineffective use of resources, uncertain environmental effects, and expensive operations. The new system facilitates real-time monitoring, automated decision support, and precision agriculture through IoT sensors, cloud computing, and AI-based analytics. The system uses IoT-enabled sensors to monitor critical parameters like soil moisture, pH, electrical conductivity (EC), temperature, humidity, CO₂, ammonia levels, and water quality in hydroponic, aquaponic, and poultry conditions. The data gathered is processed on cloud computing platforms like ThingSpeak and AWS IoT, wherein AI-driven models scan environmental patterns, predict crop health, and streamline feeding and irrigation timetables. Computerized irrigation, climate control, and animal husbandry systems respond in real-time to up-to-date information, cutting down on human labor, conserving resources, and improving efficiency. The proposed impact is an increased utilization of resources, added agricultural output, a lower environmental footprint, and better food safety. Integrating IoT-based automation and AI-predictive analysis enables the proposed system to enable precision farming techniques to undertake sustainable and eco-friendly agricultural practices. The evidence suggests that integrating IoT with hydroponic, aquaponic, and poultry farming systems provides an affordable and expandable solution to new smart agriculture. Future advancements in edge computing and blockchain-based data security will further strengthen the reliability and adoption of IoT-driven sustainable farming.
Keywords: IoT-based Farming Systems, Hydroponics Integration, Aquaponics and Poultry Farming, Precision Agriculture, AI in Agriculture
[This article belongs to Research & Reviews : Journal of Agricultural Science and Technology ]
Rohit Birdawade, Shreya Bhosale, Deepak Khaladkar, Shivanjali Dhumal, Priyanka Mankar, S. B. Patil. IoT Integration in Sustainable Agriculture. Research & Reviews : Journal of Agricultural Science and Technology. 2025; 14(02):69-84.
Rohit Birdawade, Shreya Bhosale, Deepak Khaladkar, Shivanjali Dhumal, Priyanka Mankar, S. B. Patil. IoT Integration in Sustainable Agriculture. Research & Reviews : Journal of Agricultural Science and Technology. 2025; 14(02):69-84. Available from: https://journals.stmjournals.com/rrjoast/article=2025/view=230945
References
1. Jeevitha, D., Aarthi, K., Yashika, T., Pasavakeerthi, T., & Sathiyavel, C. (2024). IoT-based gas monitoring in poultry farms: Enhancing odor and flies management. International Research Journal of Modernization in Engineering, Technology, and Science, 6(5), 927-940. https://doi.org/10.56726/IRJMETS55439
2. Vinueza-Naranjo, P. G., Silva, H. A. N., Rumipamba-Zambrano, R., Ruiz, I. G., Rivas, D. L., & Patil, N. J. (2021). IoT-based smart agriculture and poultry farms for environmental sustainability and development. In Smart Agricultural Technologies and Sustainability (pp. 299-315). Springer. https://doi.org/10.1007/978-3-030-75123-4_17
3. Pullo, S., Pareschi, R., Piantadosi, V., Salzano, F., & Carlini, R. (2023). Integrating IOTA’s Tangle with the Internet of Things for sustainable agriculture: A proof-of-concept study on rice cultivation. Informatics, 11(3), 1-20. https://doi.org/10.3390/informatics11010003
4. Hassan, A. A., Abdullahi, H. O., Ali, A. F., & Ahmed, M. H. (2024). Internet of Things in agriculture: A systematic review of applications, benefits, and challenges. Journal of System and Management Sciences, 14(9), 67-80. https://doi.org/10.33168/JSMS.2024.0905
5. Safeer, S., Mastro, G. D., & Pulvento, C. (2024). IoT-based climate-smart agriculture succeeded by blockchain database A bibliometric analysis. Frontiers in Sustainable Food Systems, 8, 1406871. https://doi.org/10.3389/fsufs.2024.1406871
6. AlZubi, A. A., & Galyna, K. (2023). Artificial intelligence and Internet of Things for sustainable farming and smart agriculture. IEEE Access. https://doi.org/10.1109/ACCESS.2023.3298215
7. Sharma, K., & Shivandu, S. K. (2024). Integrating artificial intelligence and the Internet of Things (IoT) for enhanced crop monitoring and management in precision agriculture. Sensors International, 5, 100292. https://doi.org/10.1016/j.sintl.2024.100292
8. Wolfert, S., & Isakhanyan, G. (2022). Sustainable agriculture by the Internet of Things – A practitioner’s approach to monitoring sustainability progress. Computers and Electronics in Agriculture, 200, 107226. https://doi.org/10.1016/j.compag.2022.107226
9. 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
10. Chandana, M. S., Likhitha, D., Sridevi, C., & Chowdary, R. A. (2023). Automated aquaponics farming using the Internet of Things (IoT). Proceedings of the Second International Conference on Electronics and Renewable Systems (ICEARS-2023). IEEE. DOI: 10.1109/ICEARS56392.2023.10085340.
11. Vineeth, P., & Ananthan, T. (2023). Automated hydroponic system using IoT for indoor farming. Proceedings of the Fourth International Conference on Electronics and Sustainable Communication Systems (ICESC-2023). IEEE. DOI: 10.1109/ICESC57686.2023.10193690.
12. Venkatraman, M., & Surendran, R. (2023). Design and implement smart hydroponics farming for growing lettuce plantations under nutrient film technology. Proceedings of the Second International Conference on Applied Artificial Intelligence and Computing (ICAAIC-2023). IEEE. DOI: 10.1109/ICAAIC56838.2023.10141186.
13. Rahman, M., Kohinoor, M. S. R., & Sami, A. A. (2023). Enhancing poultry farm productivity using IoT-based innovative farming automation system. Proceedings of the 26th International Conference on Computer and Information Technology (ICCIT-2023). IEEE. DOI: 10.1109/ICCIT60459.2023.10441525.
14. Asma, T. H., Mohamed, H., & Kaouther, L. O. (2023). IoT design and water monitoring of an aquaponic system. Proceedings of the 3rd International Conference on Signal, Control, and Communication (SCC-2023). IEEE. DOI: 10.1109/SCC59637.2023.10527643.
15. Kumar, S., Pareek, P. K., P, R., R, D., & Petli, V. (2023). IoT-based automated poultry farm for layer chicken using artificial intelligence techniques. Proceedings of the 2023 International Conference on Applied Intelligence and Sustainable Computing (ICAISC). IEEE. DOI: 10.1109/ICAISC58445.2023.10199649.
| Volume | 14 |
| Issue | 02 |
| Received | 10/05/2025 |
| Accepted | 30/07/2025 |
| Published | 10/11/2025 |
| Publication Time | 184 Days |
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