A Regional Technical Seminar titled “Digital Transformation and Application of Artificial Intelligence in the Management of the Agro-Industrial Complex” was held on 27–28 April 2026 at Astana IT University. The event was organized by the Islamic Organization for Food Security (IOFS) in collaboration with national and international partners, bringing together representatives from government institutions, international organizations, academia, and research centers.
The seminar featured participation from the Ministry of Agriculture of the Republic of Kazakhstan, which presented national priorities and ongoing initiatives in the digital transformation of the agro-industrial sector. Representatives of the Ministry of Agriculture and Forestry of the Republic of Türkiye also took part, sharing Türkiye’s experience in the development of satellite-based agricultural monitoring systems, digital subsidy management, livestock traceability, and the application of data-driven governance in agriculture.
ISSAI was represented by Aigerim Sarsenova, who moderated the session “AI and Data in Agricultural Management”, guiding expert discussions on the integration of artificial intelligence into agricultural decision-making and public sector systems. Tomiris Rakhimzhanova, Data Scientist at ISSAI, delivered a presentation titled “From AI Research to Agricultural Applications: Multispectral Crop Monitoring in Kazakhstan”. Her presentation highlighted practical applications of remote sensing and machine learning for crop monitoring and precision agriculture, demonstrating how AI technologies can support efficient and sustainable resource management.
The seminar provided an important platform for dialogue between policymakers, international experts, and researchers on the future of digital agriculture. Participants emphasized the importance of cross-border collaboration in advancing satellite technologies, artificial intelligence, and integrated digital systems for agriculture.
ISSAI’s participation reflects its continued commitment to advancing artificial intelligence research and its real-world applications in critical domains such as agriculture, environmental monitoring, and sustainable development.