A training course on smart agriculture.

The Department of Animal Production in the College of Agriculture at the University of Diyala organized a training course titled “Smart Agriculture.” The course, presented by Instructor Rasha Amer Kazem, aimed to introduce participants to smart agriculture. At the outset of the course, she provided a detailed explanation of machine learning techniques and their applications. Machine learning, a field of study that enables computers to operate without explicit programming, involves training models using datasets characterized by labeled attributes or features.

The workshop covered the most significant machine learning techniques across various general fields, with a particular focus on agriculture. It highlighted the importance of these techniques in enhancing agricultural production, monitoring crops using artificial intelligence, precision agriculture, and crop and soil analysis techniques utilizing artificial intelligence. Additionally, the workshop addressed modern livestock breeding technologies, crop yield prediction, weed and pest detection and control through artificial intelligence, irrigation management using artificial intelligence, as well as harvesting and pollination techniques.

The primary objective of the course was to introduce new technologies aimed at conducting scientific research, thereby advancing the agricultural sector through the integration of artificial intelligence and deep learning techniques.