Integrating Artificial Intelligence Into an Automated Irrigation System

Climate change, exacerbated by global warming in recent decades, has had a devastating impact on agriculture, leading to a significant decline in productivity in some areas. In some regions, the extreme effects have resulted in the complete destruction of crops, threatening food security and the balance of ecosystems, while in others production has fallen to alarming levels. The automation of irrigation, together with the generation of climate reports based on artificial intelligence, contributes to the optimization of resources by reducing excessive water and energy consumption, supporting plant health through proper irrigation and increasing sustainable agricultural productivity by providing suggestions and statistics to streamline the agricultural process. In this paper, the authors present a system that allows real-time monitoring of parameters such as temperature and humidity, providing detailed information and advanced analytics for each device and area monitored using AI (Artificial Intelligence). This uses data from all the devices that are integrated into the application to assess the state of the climate at a national level. The integration of artificial intelligence in the context of monitoring and irrigation of agricultural areas is a step forward in the development of sustainable agriculture and for the adaptation of agriculture to increasingly aggressive climate phenomena.