Key points are not available for this paper at this time.
Sustainable agriculture depends on effective water management, and the Internet of Things (IoT) and artificial intelligence (AI) combine to offer a novel approach to irrigation process optimisation. In order to improve water utilization in agriculture, this research suggests a comprehensive system that includes buzzers, LCD displays, relays, water pumps, soil moisture sensors, AI algorithms, and water pumps. An AI algorithm at the centre of the system evaluates data collected in real time from field-installed soil moisture sensors. These sensors gather information on the soil’s moisture content, which offers important insights into the real water needs of the crops. After analysing this data, the AI programme decides how best to schedule irrigation. The system’s integration with a relay is intended to regulate when a water pump is activated. According to the suggestions of the AI algorithm, the relay provides accurate control over the irrigation operation, enabling on-demand watering. By avoiding over- irrigation and conserving water, this lowers the chance of waterlogging and associated problems. The system has an LCD display to improve user engagement and offer real-time feedback. Important details like irrigation status, soil moisture levels, and AI-driven suggestions are conveyed through the display. With the help of this function, farmers may monitor the system’s performance and make well-informed judgements. Furthermore, a buzzer is incorporated to deliver auditory notifications in the event of crucial occurrences, such low soil moisture levels or system faults.This guarantees timely resolution of problems that might affect crop health and system performance as a whole. A number of benefits are provided by the suggested AI-driven water management system, including improved agricultural output, water conservation, and operational effectiveness. Water scarcity and resource optimisation in irrigated fields are addressed by the system, which offers a comprehensive precision agriculture solution by utilising the capabilities of IoT devices, soil moisture sensors, relays, water pumps, buzzers, and LCD displays
Nanthakumar et al. (Wed,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: