Agcurate provides food & agribusinesses accurate, rich, easy-to-use access to dynamic rural first-mile agri-intelligence while empowering decision making and de-risking investments. They use various satellite imagery stored on the cloud and implement their machine learning algorithms to detect fields, crops, production analytics, sustainability analytics, etc., for the current and past seasons. Osman Baytaroğlu, the co-founder and CEO of Agcurate told of their aim and contribution to the agricultural business.
Agcurate a solution for the ongoing problem of unpredictable crop production and highly volatile food prices in our home country, Turkey. As we dug deeper into this problem, we discovered that our food is being cultivated across vast farmlands in remote rural areas globally, and neither the consumers nor agribusinesses are well-informed of the farmlands and supply. The current first-mile data sources (physical, on-site investigation, fragmented documentation) are limited, out-of-date, lacking accuracy, or not connected to derive insights for various use cases. This decreases the visibility and transparency of the supply chain. We envision a more transparent and resilient supply chain, strengthening food security, and empowered farmers worldwide.
Agcurate was founded by me, Osman Baytaroglu (CEO), and Metin Emenullahi (CPO). We have known each other for more than 10 years and have worked together on various occasions. In just one year, we’ve expanded to a 9-people team. The team we’ve built has diverse and complementary skill sets such as machine learning, software engineering, remote sensing, GIS, and business development.
We are quick to deploy new products, onboard new crops, and analyze new regions. We deliver rich analytics, including procurement and sustainability indicators. Aiming to be truly global, we provide high accuracy in the data-poor areas of the world.
The number of farmers served with Agri credits & insurance, the number of crops identified, and the percentage of global farmland coverage.
In 5 years, we aim to be serving all global farmlands for over 40 crops and 16 individual analysis types.