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From fields to algorithms: OMU joins Türkiye’s AI agriculture push with an autonomous smart farm
Tolga 13 April 2026, Monday - 15:53 Updated: 14 April 2026, Tuesday - 15:53
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Türkiye is preparing to take one of the most concrete steps in the digital transformation of agriculture. Within the scope of a project carried out in cooperation with the Council of Higher Education (YÖK) and the Agriculture Technologies Cluster (TÜME), one of the 40 artificial intelligence-supported autonomous farms to be established across Türkiye by September 2026 will be implemented at Ondokuz Mayıs University (OMU).

The first step of this process was taken with the YÖK–TÜME Cooperation Protocol Signing Ceremony held at Burdur Mehmet Akif Ersoy University with the participation of YÖK President Prof. Dr. Erol Özvar. OMU Rector Prof. Dr. Fatma Aydın, who attended the ceremony, was among those who signed the protocol.

Following the protocol, TÜME Foundation Secretary General Sinan Yavuz and TÜME Board Member Erkan Yıldırım visited OMU Rector Prof. Dr. Fatma Aydın and conducted site inspections in the areas where the autonomous farm is planned to be established within the university.

The inspections were attended by Vice Rector Prof. Dr. Çetin Kurnaz, Secretary General Prof. Dr. Erhan Burak Pancar, and faculty members from the Faculties of Agriculture and Veterinary Medicine. As part of the program, the project details were also shared with participants during an information meeting held at the Veterinary Faculty Conference Hall.

The Black Sea’s agricultural strength meets artificial intelligence

Samsun’s fertile agricultural lands and OMU’s well-established academic background hold significant potential to become a key center in line with the vision of “Full Independence in Food.” The autonomous farm to be established at OMU within the scope of the project will be equipped with domestic artificial intelligence systems, IoT sensors, and autonomous vehicles.

A system requiring no human intervention

Unlike traditional farming methods, the system will offer a fully data-driven management approach and will operate as follows:

  • Continuous monitoring: IoT sensors placed both underground and above ground will instantly detect moisture levels, mineral balance, and pest presence.
  • Smart decision-making mechanism: Artificial intelligence algorithms will analyze the collected data and make optimal decisions regarding processes such as irrigation and spraying.
  • Autonomous intervention: Based on identified needs, autonomous tractors and drones will carry out operations without human intervention.

Food independence and new opportunities for youth

The project stands out not only as a technological transformation but also as a comprehensive R&D and employment initiative. While the development of domestic technologies will be encouraged through R&D support provided to 20 universities, it is also aimed to involve approximately 40,000 young people in this transformation process.

The future of agriculture: artificial intelligence

Through smart agriculture applications, it is aimed to achieve significant savings in water and pesticide use, strengthen environmental sustainability, and increase production efficiency. The OMU implementation, which will be part of the autonomous farm network planned to be completed by September 2026, will also serve as a model for farmers in the region.

Within the scope of the project, it is aimed to reach tens of thousands of young people operating in agriculture and livestock sectors and to increase efficiency across the sector.