AI for Agriculture: Bringing Innovation into Practice

Agriculture is a demanding real-world environment for applied AI: conditions are constantly changing, data is heterogeneous, and solutions must operate reliably alongside people, machines and physical processes. This session explores what it takes to move AI from prototype to practical application, using agriculture as a case study for broader challenges such as validation, integration, user acceptance and scalability. Participants will gain insights into emerging AI applications, hear perspectives from industry and innovation stakeholders, and discover collaborative pathways for testing, validation and market deployment.