Sustainable agriculture is becoming an essential pillar for sustainable development in the context of global challenges related to climate change, natural resource degradation, and population growth. This article explores the link between education and sustainable agriculture, with a special focus on the role of vocational training in adopting precision agriculture. Precision agriculture, based on modern technologies such as GPS, sensors, drones, and artificial intelligence, promises increased efficiency and reduced negative environmental impact. However, the success of its implementation depends significantly on the level of training of farmers and the capacity of educational institutions to respond to the demands of the modern agricultural market. The article analyzes the advantages and limitations of training in this field, proposes directions for improving educational curricula such as the local specific context, and provides recommendations for integrated public policies that support the transition to a Romanian International Conference for Education and Research 15th edition, 05th June 2025 at "Alexandru Ioan Cuza" University of Iași sustainable and digitalized agriculture. The conclusions emphasize the need for a synergistic approach between education, technology, and policies to ensure long-term sustainability.

Unmanned Aerial Vehicles (UAVs) are transforming both landscape planning and smart farming by delivering high-resolution, flexible, and cost-effective spatial data. This paper synthesizes current applications of UAVs in ecological monitoring, land-use planning, and precision agriculture, emphasizing their role in bridging farm-level management with regional planning goals. Drawing from recent advances in sensors, machine learning, and participatory approaches, the paper integrates a field-based case study from Adana, Türkiye, where UAV multispectral and thermal imagery were employed in wheat fields under controlled irrigation and nitrogen regimes. This Mediterranean example demonstrates how UAV-based monitoring can provide empirical evidence for linking farm-level diagnostics to landscape-scale resilience planning. The study concludes with methodological and governance insights for embedding UAV workflows into climate-resilient land-use systems.