The aim of this course is to equip students with the knowledge and skills to holistically evaluate the environmental, economic, and social dimensions of agricultural waste generated throughout agricultural production processes, and to monitor, analyze, and develop sustainable waste management strategies by effectively utilizing digital technologies such as sensors, the Internet of Things (IoT), Geographic Information Systems (GIS), remote sensing, and artificial intelligence. The course also aims to enable students to develop data-driven decision-making skills within the framework of the circular economy, resource efficiency, and sustainable agriculture, while recognizing digital technologies not as an end in themselves but as strategic tools that support sustainable management.

Topics include typeThis course examines plant-based, animal-based, and packaging wastes generated during agricultural production processes together with their environmental, economic, and social impacts through a holistic perspective. The course covers the classification of agricultural wastes, waste reduction strategies, reuse, recycling, composting, and biological conversion processes such as biogas production. It also addresses national and international waste management legislation, traceability, and digital record systems, as well as the applications of sensor technologies, the Internet of Things (IoT), Geographic Information Systems (GIS), remote sensing, and artificial intelligence in agricultural waste management. The preparation of digital-based waste management plans for agricultural enterprises, zero-waste practices, circular economy principles, resource efficiency, and sustainable agricultural applications are discussed through current case studies. The course is based on a holistic systems approach to agricultural waste management by integrating digital technologies with the principles of sustainability.s of waste, environmental impacts, digital tracking tools, recycling technologies, and eco-friendly practices.