Pitch deck video: https://www.youtube.com/watch?v=e8CiwTCGiFo  

This Singapore based team focused on providing locally produced non-soya plant proteins. The goal was to propose a functional plant-based alternative to fresh meat, made without any artificial or chemical processing available at an affordable price. The winning team was awarded a -€ 5.000 cash-prize as well as support in the form of mentorship, webinars and individual consultations. After the international hackathon, AgriFood Lithuania DIH signed a cooperation agreement with the hackathon winners. 

The NovFeed team proposed to re-use by-products from oil or juice production. 

This solution would provide cost-effective fish feed based on indigenous, locally produced, and sustainable ingredients. This team is based in Tanzania, and also works on insect based fish feeds. The team was awarded a €3,000 cash prize, as well as support in the form of mentorship, webinars and individual consultations. 

This team proposed a vertical farming solution to fight logistics costs and emissions, resource waste, and pollution of traditional agriculture. The problem was that when using fogponics you could not control the fog and Baltic Freya has created a modular fog evaluation, monitoring and control system which makes fogponics vertical farming easy. They were awarded a €2,000 cash-prize, as well as support in the form of mentorship, webinars and individual consultations.

Team Baby Carrots was formed during the hackathon, finding the missing team member to their puzzle. This has proven successful, as they won the regional hackathon. To evaluate food ripeness accurately and reduce post-harvest food loss, the team Baby Carrots have created an AI-driven app called Smart Tomato, which can show fruit ripening level, nutrition information and can detect diseases based on a photo of the fruit. They were awarded a €2,000 cash-prize, as well as support in the form of mentorship, webinars and individual consultations.

With the Estonian strawberry farmers losing around 60-70% of harvest in summer 2020 due to labour shortage, team BerryBot has created a concept of an affordable AI-driven robot, that can detect ripe strawberries and pick them. They were awarded a €1,000 cash-prize, as well as support in the form of mentorship, webinars and individual consultations.

The team AI4Fruit has created a spectral data-based decision making app that can detect the ripeness of the fruit for sustainable agriculture that will solve enormous amounts of fruits wasted due to the unavailability of smart technology to pick them at the right time. They were awarded a €500 cash-prize, as well as support in the form of mentorship, webinars and individual consultations.