Every year farmers are confronted with the decision what to plant on their fields. It is a tough one, as there are hundreds of varieties out there and it is hard to pick the one suited for the local growing conditions. Within the Reach Incubator, Cropt is collaborating with Delta, the biggest agricultural company in Serbia, whose Selsem soybean varieties are among the most popular in the region.
Cropt is using satellite, soil and weather data along with Delta’s field books to train advanced machine learning models for crop growth modelling. Based on the predicted yield, the Selsem soybean variety optimal for the local environment is recommended to the farmer. In this way, Delta’s clients are achieving higher profits and the company has a huge opportunity to boost its sales.
Usage of Standards for data interoperability:
Open Geospatial Consortium standards, International soil classifications systems, FAO soil field description guides.
*Expose phase is open to all Experiment phase teams
Sanja Brdar, PhD
CEO and co-founder
10+ years of experience in development of state-of-the-art machine learning algorithms for application in AgTech.
Oskar Marko, PhD
CTO and co-founder
Machine learning expert highly interested in application of data analytics in agriculture.
Business Development Manager
Covers the financial matters and works on accelerating Cropt’s growth.
Prof. Vladimir Crnojević
Director of BioSense Institute for IT in agriculture and the World Bank’s expert on AgTech.