Integration of Artificial Intelligence Tools Into the Agroforestry Engineering Curriculum

Authors:
Publisher website
Google Scholar
Abstract
The present study explores how Artificial Intelligence (AI) technologies can be effectively embedded in agroforestry engineering education. It highlights the growing importance of digital competences and AI in agricultural, forestry, and environmental sectors. The paper stresses that curricula must evolve to include tools like GIS, remote sensing, and machine learning, while also addressing faculty training, infrastructure needs, and licensing costs. University–industry collaboration is presented as crucial for aligning academic content with real-world demands. Ethical considerations—such as data privacy, algorithmic bias, and the role of human oversight—are emphasized, referencing UNESCO's guidelines. In conclusion, the study calls for comprehensive curricular reform, investment in infrastructure and educator training, and ethical safeguards to ensure graduates are well-prepared for a rapidly evolving, AI-driven job market.

This publication has 57 references indexed in Scilit: