2nd Training Seminar: Artificial Intelligence in the Agri-Food Sector

The Innovative Entrepreneurship Observatory of the Region of Crete, the Science and Technology Park of Crete and the European Innovation Hub for Digital Governance GR digiGOV-innoHUB continue their series of training seminars with the organisation of the 2nd seminar, which will take place on24 February 2026, from 15.00 to 19.00. The deadline for applications is 18 February 2026. The seminar is titled:

Exploitation of Artificial Intelligence Tools

The seminar is addressed to executives of businesses and organisations who wish to get to know and use modern AI applications and tools in the context of their professional activity.

This educational initiative includes a series of four seminars, each lasting 3 to 4 hours, with the following themes:

• Introduction to Artificial Intelligence – Practical Applications and Use Scenarios (Completed: 28 November 2025)
• Artificial Intelligence Technologies – Applications in the agri-food sector (Tuesday, 24 February 2026, 15:00 – 19:00)
• Artificial Intelligence Technologies – Environmental and Energy Applications (Wednesday, 18 March 2026, 15:00 – 19:00)
• Digital Technologies – Tools and Applications for the Modern Organisation (Wednesday, 1 April 2026, 15:00 – 19:00)

Targeted

The seminar is addressed to agri-food professionals, agronomists, farmers, business executives and food operators, as well as students of agronomic and technological sciences.

Objectives

• To present the basic concepts of AI with emphasis on Machine Learning, NLP and Computational Vision in the field of agri-food.
• Understand how AI can improve productivity, quality and sustainability in agriculture and the food industry.
• To highlight modern practical applications in crops, food processing, supply chain and consumer trends analysis.
• Consider ethical and sustainability issues, such as fair access to technology and protection of producer and consumer data.

Sections

Introduction to key AI concepts for agri-food

• What AI is and how it applies to agriculture and the food industry.
• Presentation of basic techniques: ML, NLP, Computational Vision.
• The role of data (field sensors, satellite images, production data, food markets).

Practical AI applications in agri-food

• Intelligent crop monitoring systems with ML and prediction of plant diseases, with the possibility of automatic interpretation and guidance to the producer.
• NLP for analysis of agricultural data, agricultural policies and consumer reports, with immediate provision of understandable conclusions.
• Computational vision for disease detection, product classification and food quality control, with accompanying explanations to the user.
• Case studies: Irrigation optimization, supply chain analysis, detection of food adulteration, through interactive examples of AI exploitation.

Ethical and sustainable dimensions - debate

• Balance between traditional and technological knowledge.
• Protection of producer and consumer data.
• Fair access to AI technologies for small and large producers.
• Interactive discussion: proposals for pilot applications in local agri-food ecosystems.

Expression of interest to participate

Participation in the seminar is free of charge but requires registration. Priority will be given as the number of participants (in person and remotely) is limited.

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