Enhancing Agricultural Practices Through Iot And Decision Tree Analytics: A Case Study On Autonomous Irrigation Management

Agriculture, essential for meeting human needs, faces complex challenges related to variable environmental conditions, overuse of resources, and inefficient distribution processes. Precision agriculture emerges as an optimal solution by utilizing advanced technologies like the Internet of Things (IoT) to collect detailed data on agricultural conditions. With artificial intelligence-based techniques, it is possible to optimize production and reduce environmental impact. This study explores the use of technological paradigms such as the Internet of Things and Artificial Intelligence in agriculture, focusing on integrating decision trees for analysis and management. This approach could enable more effective management of agricultural variables such as temperature, humidity, and soil nutrients, providing farmers with a solid foundation for making informed decisions. Preliminary results demonstrate that integrating decision trees in precision agriculture can significantly improve the effectiveness and sustainability of the sector, providing valuable guidance for future smart agricultural practices.