Meet the most innovative agrifood startups in Serbia
In June-July 2020, EIT Food runs 17 online Country finals of the Innovation Prizes startup competition. On July 20, the Serbian finals featured eight agrifood startups covering many agri-innovation solutions ranging from food waste, to tackling problems related to pesticides and soil degradation, the use of microbial products and much more.
Innovation Prizes is one of the largest startup competitions in the agrifood vertical in Southern and Eastern Europe. It awards prizes to entrepreneurs and early-stage startups that can transform the food industry innovative products and services. This year, the finals will take place in 17 countries. In each of the 17 online Country finals, the three best startups win €1,000, €3,000 and €5,000. The audience also has a chance to vote for their favorite startup during the live stream and help them winning the Audience Prize of €2,000. The winners of each country finals will have a chance to compete for the prizes of €10,000, €15,000 and €25,000 in the Grand Final in October 2020.
The core partner of the Serbian event was Startit, a hub for the domestic IT community based in Belgrade, Serbia. The jury members were delegated by South Central Ventures, ICT Hub, and Farmia.
The €1,000 Third prize of the competition was awarded to Atfield Technologies, a company that produces tools for the mobile and truly remote data driven management of vineyards. The main goal is to maximize quality from every microsite in a vineyard during every season, while continuously managing risks.
The €3,000 Second prize went to MapMyApple. This innovative mobile application helps small and medium sized apple growers with the prediction of pests and disease in their apple orchards on time, eventually helping them to save money by optimizing the number of spraying activities.
The winner of the finals and the €5,000 First prize is a startup called Humanless agriculture Technologies, an ag-tech start-up newly established by experienced engineers and specialists in the domains of computer science, deep learning, computer vision and predictive analytics in agriculture. With that, Humanless agriculture technologies aims to contribute to finding a solution to a problem known as soil degradation, as well as making the food chain predictive trough advanced digital features.