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Original Article

SMARTKISAAN: An AI-Driven, IoT-Based Smart Irrigation Monitoring System for Small and Marginal Farmers

Open Access Peer Reviewed Crossref DOI

Authors

  • Dr. Hemashree H C1
  • Kavya R2
  • Keerthana V3
  • Rohith Kumar D4

1 Assistant Professor, Information Science and Engineering, Bapuji Institute of Engineering and Technology, Davangere, Karnataka, India. 2 3 4 Information Science and Engineering, Bapuji Institute of Engineering and Technology, Davangere, Karnataka, India.

Article Information

Published Online
September-December 2026
Pages
728-733
Article Type
Original Article
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References

[1] A. Morchid et al., “Smart Irrigation-Based Internet of Things and Cloud Computing Technologies for Sustainable Farming,” Scientific
Reports, vol. 16, Art. no. 5293, 2026.
[2]. N. S. Rani and N. S. Banu, “Cognitive Integration of Internet of Things and Feedforward Learning Models for Smart Irrigation in Sustainable Agriculture,” Scientific Reports, vol. 16, Art. no. 17413, 2026.
[3]. S. V. S. and R. H. Gnanamalar, “Design and Implementation of an IoT-Based Smart Irrigation System for Sustainable Agriculture,” International Journal of Scientific Research in Computer Science and Engineering, vol. 14, no. 1, 2026.
[4]. W. K. Ng and R. Mat Nawi, “Smart Irrigation Solutions: An IoT-Based Mobile Application for Optimized Watering in Modern Agriculture,” Applied Information Technology and Computer Science, vol. 6, no. 2, pp. 190–207, 2025.
[5]. “IoT-Enabled Smart Agriculture for Improving Water Management: A Smart Irrigation Control Using Embedded Systems and Server-Sent Events,” Scientific African, vol. 27, Art. no. e02527, 2025.
[6]. A. E. G. and G. J. Bala, “IoT and ML-Based Automatic Irrigation System for Smart Agriculture System,” Agronomy Journal, vol. 116, pp. 1187–1203, 2024.
[7]. A. Morchid et al., “IoT-Based Smart Irrigation Management System to Enhance Agricultural Water Security Using Embedded Systems, Telemetry Data, and Cloud Computing,” Results in Engineering, vol. 23, Art. no. 102829, 2024.
[8]. “The Application of Machine Learning Techniques for Smart Irrigation Systems: A Systematic Literature Review,” Smart Agricultural Technology, vol. 7, Art. no. 100425, 2024.
[9]. “A Systematic Review and Meta-Analysis of Intelligent Irrigation Systems,” IEEE Access, vol. 12, pp. 128285–128304, 2024.
[10]. G. P. Pereira, M. Z. Chaari, and F. Daroge, “IoT-Enabled Smart Drip Irrigation System Using ESP32,” IoT, vol. 4, no. 3, pp. 221–243, 2023.
[11]. “An Intelligent IoT Sensor Coupled Precision Irrigation Model for Agriculture,” Measurement: Sensors, vol. 25, Art. no. 100608, 2023. [12]. R. Togneri et al., “Soil Moisture Forecast for Smart Irrigation: The Primetime for Machine Learning,” Expert Systems with Applications, vol. 207, Art. no. 117653, 2022.
[13]. D. M. M. Vianny et al., “Water Optimization Technique for Precision Irrigation System Using IoT and Machine Learning,” Sustainable Energy Technologies and Assessments, vol. 52, Part D, Art. no. 102307, 2022.
[14]. R. Veerachamy et al., “Autonomous Application Controls on Smart Irrigation,” Computers & Electrical Engineering, vol. 100, Art. no. 107855, 2022.
[15]. K. Obaideen et al., “An Overview of Smart Irrigation Systems Using IoT,” Energy Nexus, vol. 7, Art. no. 100124, 2022.
[16].“An IoT-Based Smart Irrigation System with Data Fusion and a Self-Powered Wide-Area Network,” Journal of Industrial Information Integration, vol. 29, Art. no. 100367, 2022.
[17]. E. A. Abioye et al., “IoT-Based Monitoring and Data-Driven Modelling of Drip Irrigation System for Mustard Leaf Cultivation Experiment,” Information Processing in Agriculture, vol. 8, no. 2, pp. 270–283, 2021.
[18]. L. García et al., “IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture,” Sensors, vol. 20, no. 4, Art. no. 1042, 2020.
[19]. “Smart & Green: An Internet-of-Things Framework for Smart Irrigation,” Sensors, vol. 20, no. 1, Art. no. 190, 2020.
[20].A. Goap et al., “An IoT Based Smart Irrigation Management System Using Machine Learning and Open-Source Technologies,” Computers and Electronics in Agriculture, vol. 155, pp. 41–49, 2018.
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