Understand the needs, challenges and opportunities of digital transformation in the agricultural sector and its impact on innovative business models and change management.
• Explore and apply enabling technologies for precision agriculture, including sensors, IoT (Internet of things) and remote sensing, to improve efficiency and use of agricultural inputs.
• Analyze the impact of automation and robotics in agriculture and understand the different technological areas involved in their implementation.
• Acquire fundamental knowledge of Data Science (extraction of information and knowledge from data) in agriculture, including collection, statistical analysis and use of Artificial Intelligence for pest and disease control.
• Understand the importance of cybersecurity and blockchain to ensure the integrity of the digital agricultural ecosystem and process traceability, as well as explore the use of digital tools for resource optimization and sustainability.
The course is structured in 9 sessions of 3 hours that combine a part of practical exposition of the state of the art of the technology, introduced by professionals with an outstanding track record in the area to be treated, and a more reflective part and applied, through practical cases of companies that have experienced and addressed the challenge of digital transformation within the sector, so that the participants obtain their own conclusions adapted to their professional reality.