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AI for Good Innovate for Impact



                   Use Case 2: IoT-Based Solar-Powered Automatic Basin Irrigation

               System                                                                                              Agriculture  4.11: Smart

















               Country: India

               Organisation: Water Technology Centre, ICAR - Indian Agricultural Research Institute

               Contact Person(s): Dr Monalisha Pramanik - monalishapramanik@ gmail .com

                    Dr Manoj Khanna - khanna _manoj2001@ yahoo .com .au
                    Dr P S Brahmanand - psba12345@ gmail .com


               1      Use Case Summary Table


                Item                  Details
                Category              Smart Agriculture

                Problems Addressed    Traditional basin irrigation systems face several challenges that hinder
                                      their efficiency and effectiveness. One major issue is poor water appli-
                                      cation efficiency, often caused by deep percolation losses. These
                                      systems also require labor-intensive efforts to monitor and control
                                      water flow during irrigation events, making them time-consuming
                                      and physically demanding. Additionally, uneven water distribution
                                      frequently results in under-irrigation or over-irrigation of crops, nega-
                                      tively affecting plant health and yields. Collectively, these issues
                                      lead to the wasteful use of essential farming resources such as water,
                                      energy, and time.
                Key Solution          Automatic Basin Irrigation System addresses the limitations of tradi-
                                      tional methods by incorporating real-time field monitoring through
                                      wireless Internet of Things (IoT) connectivity using LoRa and GSM
                                      networks, alongside soil moisture sensors. Irrigation is automatically
                                      scheduled and controlled based on preset soil moisture thresholds,
                                      ensuring timely and efficient water delivery. Microcontrollers, coupled
                                      with mobile and web dashboards, enable accurate control and moni-
                                      toring of water supply. This data-driven approach significantly reduces
                                      labor demands while optimizing water usage. As a result, the system
                                      enhances irrigation application efficiency and improves distribution
                                      uniformity, leading to more sustainable and productive farming prac-
                                      tices.

                Technology Keywords   Wireless, Soil moisture Sensor, Internet of Things, Automation, Irri-
                                      gation

                Data Availability     Not publicly available.





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