The integration of artificial intelligence in irrigation is transforming contemporary agriculture by optimizing crop yields, conserving water resources, and promoting sustainable farming practices. Traditional irrigation systems often lead to water inefficiencies and misdistribution, which can harm the environment. AI-driven solutions, including machine learning algorithms and Internet of Things (IoT) sensors, enable real-time monitoring of soil moisture levels, weather changes, and crop requirements, ensuring that water is delivered precisely when and where it is needed. By adapting irrigation strategies to reflect evolving environmental conditions, this technology reduces water usage while enhancing both crop health and overall productivity. AI-enabled irrigation presents a scalable solution to address the increasing global demand for food and the challenges posed by water scarcity. Additionally, the use of data from drones and satellites further enhances the effectiveness of this innovative approach. This study presents a brief overview of the use of artificial intelligence in the irrigation system.

Automatic Irrigation Artificial intelligence Deep Learning Machine learning