THE GLOBAL WINDOW OF TURKISH FOOD AND AGRICULTURE The Global Window of Turkish Food and Agriculture Sector
Related Articles
Türksat is closely monitoring agricultural production by analysing satellite images with artificial intelligence technologies.
According to information obtained by an Anatolian Agency (AA) correspondent from Türksat, within the scope of the Artificial Intelligence-Based Detection of Production Areas Using Satellite Images Project, images obtained from advanced satellites such as Göktürk-1, Göktürk-2, Sentinel-2 and PlanetScope are being analysed.
As a result of the analyses, poppy cultivation areas are monitored according to the phenological calendar. Thanks to the AI-supported system, cultivation data such as ‘correct,’ ‘incorrect,’ ‘duplicate,’ and ‘suspicious declarations’ are analysed, and plant health values such as water stress and nitrogen status can be monitored.
The system increases transparency in agricultural production while improving efficiency and enabling more effective use of resources. Unlike traditional agricultural inspections, analyses using satellite images minimise time loss in the field and enable early intervention.
45 million decares of agricultural land analysed…
Within the scope of the project, over 45 million decares of agricultural land across Türkiye were analysed using satellite imagery. The analyses were validated through fieldwork, achieving a success rate of over 98 percent.
This technology offers advantages in areas such as agricultural support programmes, efficient water use, planting planning, and food security. It also helps predict crop yields, enabling producers and relevant institutions to make more informed future plans.
Production expectations are determined…
The artificial intelligence-supported system developed by Türksat contributes significantly to Türkiye’s agricultural policies while also supporting food supply security and sustainable agriculture goals.
Through continuous monitoring using Earth observation satellites, production expectations are determined more accurately, changes in the field are detected immediately, and the cost of fieldwork is significantly reduced.
The project aims to boost the country’s agricultural production capacity and improve the efficient use of resources…
