1. Product development:
Product innovation is one of the areas where most innovations are occurring in farm to fork solutions. Innovations are related to the type of product, but also to its relationship to the rest of the short food chain.
A great example of Product innovation is the Favamole from Andres Jara’s farm in the Netherlands. On this farm, they are making a guacamole-like dip out of fava beans to counteract the unsustainable consumption of avocado.
You can learn more about how to create added value to farm products in Module F of these Inspirational Learning Materials.
2. Marketing:
Acquiring short food chain marketing skills is key to developing your business. This area of farm to fork solutions involves understanding the relationships between farmers and consumers, and bringing consumers closer to your products.
The innovative solutions that we have discovered in our case studies have focused on digital marketing, such as the case of Deckers Biohof in Germany, where a delivery service was created. This service entails customer service and communication department, among others.
You can find more information about digital marketing in our Module D.

3. Logistics solutions:
Logistics and distribution are essential parts of food chains, which often reveals themselves impossible to arrange for small farmers because of high prices or lack of organisation-capacity.
Cooperation and self-organisation between producers and consumers is therefore a very positive and common solution among innovative farm to fork solutions, even if it is difficult to initiate.
In our case studies, we can highlight the launch of a network of vending machines for the products (meat machines) of Farma Basařovi in Czech Republic.
More information about SFSC collaborations is accessible in Module C.

4. Digital innovation:
We have already mentioned how important digital marketing skills can be in our initiatives, but digitalisation is also important in the short food chain work as a whole.
Digital and technology solutions can range from metadata analysis to use of new technologies in production or automation of tasks. Overall, these solutions will make life easier for many actors involved.
In our compilation of case studies, we illustrate the collection and analysis of multiple data for decision making with the example of Ismael Navarros’ orange farm in Spain. He uses humidity sensors installed in his own farm and the analysis of nearby meteorological centres to improve his decision-making.