Cloud and IoT-Driven Smart Irrigation: A Modern Approach to Water Management in Agriculture
- Title
- Cloud and IoT-Driven Smart Irrigation: A Modern Approach to Water Management in Agriculture
- Creator
- Venkataiah, V.; Basha, K. H. Shabbeer; Babu, R. Anand; Vali, Dudekula Khasim; Benarji, Surendra Nadh Bejjam; Bondalapati, Swarupa Rani
- Description
- Agriculture faces the dual challenge of meeting global food demand while conserving scarce water resources under climate change. Conventional irrigation systems often result in water wastage and high manual intervention. This study proposes a Cloud- and IoT-driven smart irrigation framework that integrates Wireless Sensor Networks (WSNs), an NI CompactRIO controller, renewable energy, and real-time weather forecasting services. The system collects and analyzes heterogeneous data streams (soil moisture, humidity, temperature, and water levels) to dynamically control irrigation schedules. Experimental validation on a prototype farm in Morocco demonstrates that the proposed system reduces weekly water consumption by 26, lowers irrigation events from 10 to 6, eliminates manual interventions, and achieves 13.6 energy savings compared with traditional methods. The integration of predictive weather data prevents over-irrigation during rainfall, while cloud-based analytics enhance scalability and monitoring. These results highlight the system's potential for resource-efficient, autonomous, and sustainable agriculture, particularly in water-scarce regions. Future work will focus on extending the system with LoRa-based sensor networks and machine learning-based solar energy forecasting to further improve adaptability and scalability. 2026, International Association of Engineers. All right reserved.
- Source
- IAENG International Journal of Computer Science;Volume;53;Issue;1;pp.305-322
- Date
- 01-01-2026
- Publisher
- International Association of Engineers
- Subject
- Big data; Cloud computing; Internet of things; Smart agriculture; Wireless sensors networks
- Coverage
- Venkataiah V., Department of Computer Science and Engineering, CMR College of Engineering & Technology, Telangana, Hyderabad, India; Basha K.H.S., Department of Computer Science and Engineering, Madanapalle Institute of Technology and Science, Madanapalle, India; Babu R.A., Department of Artificial Intelligence and Machine Learning, Panimalar Engineering College, Chennai, India; Vali D.K., School of Computer Science and Engineering, VIT-AP University, Andhra Pradesh, India; Benarji S.N.B., Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Andhra Pradesh, India; Bondalapati S.R., Department of Electrical and Electronics Engineering, Siddhartha Academy of Higher Education, Deemed to be University, Vijayawada-520007, Andhra Pradesh, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISSN: 1819656X;
- Format
- online
- Language
- English
- Type
- Article
Collection
Citation
Venkataiah, V.; Basha, K. H. Shabbeer; Babu, R. Anand; Vali, Dudekula Khasim; Benarji, Surendra Nadh Bejjam; Bondalapati, Swarupa Rani, “Cloud and IoT-Driven Smart Irrigation: A Modern Approach to Water Management in Agriculture,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 18, 2026, https://archives.christuniversity.in/items/show/23822.