AgroInnovate: A Framework for Sustainable and Smart Irrigation in Agriculture

Agriculture is a fundamental global practice, reliant on optimal conditions for crop productivity. Agriculture, a globally embraced practice, demands optimal conditions for efficient crop production and yield improvement. This research introduces an intelligent irrigation monitoring and control system, employing Internet of Things (IoT) technology. The system leverages soil pH, moisture, and temperature data obtained from field sensors, storing it in the cloud. It allows manual and automated operation via a mobile app, with automated mode activating pumps based on soil conditions. Key parameters, including soil pH, moisture, and temperature, are sensed using on-field sensors, with data stored in the cloud. The system introduces dual operational modes, manual and automated, to cater to varying farmer requirements. In manual mode, farmers retain remote control, enabling the activation or deactivation of critical components such as the water motor pump, water sprinkler pump, and fertilizer pump, all via a user-friendly mobile application. In automated mode, pumps are triggered based on soil conditions, optimizing water and fertilizer use. The system also maintains ideal soil pH, promoting crop growth. Additionally, it manages soil pH by automatically adjusting fertilizer injection. The proposed system offers remote monitoring and control via a website or mobile app, aiming to maximize crop production while adhering to standard parameters. This research proposes a sensor module for parameter measurement and actuation. The system facilitates remote monitoring and control through a website or mobile app, aiming to maximize crop production while adhering to standard parameters. Upon detecting soil conditions falling outside the predefined threshold values, the system initiates automatic control actions. When soil moisture registers below the established threshold, the system automatically activates the water supply pump to ensure adequate irrigation. Conversely, when the soil temperature surpasses the defined threshold, the system triggers the water sprinkle pump to mitigate excessive heat and optimize crop growth conditions. This dynamic response mechanism, orchestrated by the automated mode, serves as an indispensable feature of the proposed system, enhancing its ability to provide timely and precise irrigation support based on real-time soil conditions.