AI in agriculture: a School 21 workshop

About the Event

On January 30, 2026, School 21 held a workshop at its Moscow campus on implementing artificial intelligence in the agricultural sector. Photographs from the 3IT archive document the team's participation in the practical session.

Participants included representatives of federal and regional agricultural authorities, agribusiness leaders, and agricultural universities. School 21's official report names Sady Pridonya, Russkoye Pole, Krasny Mayak, Triticum, Sady Stavropolya, Timiryazev Academy, Kuban State Agrarian University, and Stavropol State Agrarian University among the represented organizations.

Workshop Objectives

The organizers set out three areas of work:

• Practical AI tools for current agricultural challenges
• Training needs for specialists working with data and AI
• Potential partnerships across government, business, education, and research

Practical Program

The program included a diagnostic session, an exchange of experience, and team work on educational projects. Participants identified barriers, discussed the data required for implementation, and created solution prototypes.

The expert session covered areas where AI can already be applied:

• Drone-based field monitoring
• Plant phenotyping
• Plant and animal breeding planning
• Intelligent livestock management
• Automated farming
• Digital assistants for specialists

The Team's Work

The photographs show the 3IT team working with participants to frame a challenge and an educational prototype. The archive preserves the output of that group session and the context in which digital tools for agriculture were discussed.

Workshop Outcome

According to School 21, participants established a shared view of agricultural digitization priorities and outlined steps toward technology adoption. The 3IT photo archive records the team's participation in this cross-industry group work.