A CAP-funded cooperation project to strengthen the competitiveness of agricultural companies that minimise nutrient leakage, thereby contributing to the long-term goal of minimising agricultural nutrient leakage in the Baltic Sea by 2045.
Projects & Practice
A pig meat producing short supply chain developed a marketing strategy to strengthen its brand and increase demand for its high-quality products.
Developing a Participatory Guarantee System (PGS) in the Netherlands as an alternative to formal certification for small producers operating in short supply chains.
An EIP Operational Group developed and tested a unique end-to-end agroforestry production process that is sustainable, profitable for the farm and the processing company, and which benefits consumers through products made in a way that supports the environment.
An EIP Operational Group worked on the reintroduction of ancient wheat species in the context of current practices applied at farm level.
This project combined state-of-the-art sensoring techniques and models with a participatory monitoring process with farmers and water authorities to create a common understanding of the main local challenges and possible solutions to enhance water quality. In addition, the process empowered individual farmers to become equal partners with water authorities as they gained knowledge and access to data. Problems with water management differ between regions, but the process of jointly collecting, learning from and acting on data can be applied across regions.
The BeeScanning app combines the use of artificial intelligence and smartphones, enabling beekeepers to easily detect Varroa mites and reduce the risk of death in their bee communities.
Setting up collaborative water system measures and a governance approach to increase self-sufficiency of freshwater availability for agriculture.
An EIP-AGRI Operational Group project on the use of insects for adding value to organic residues from agriculture.
Developing an integrated identification and control system that enables the detection of pests in fields and gardens and determines the optimal time to apply protective measures.