Imagine a smart GPS for farmers that tells them exactly how to handle animal waste to stop pollution. Instead of guessing, they get a digital guide that balances saving money with protecting the soil and air. It's like a personalized recipe for turning waste into a resource without harming the planet.
Livestock farmers struggle to manage 1.4 billion tonnes of annual manure, leading to costly pollution and regulatory risks. Current guidance is fragmented and not tailored to specific farm conditions or economic constraints.
A Decision Support System (DSS) prototype and simplified Life Cycle Assessment (LCA) models to determine the best manure management strategies.
If you are a software provider dealing with farmers who struggle to meet environmental laws — this project developed a decision support system (DSS) that identifies the most efficient manure-management strategy. This allows you to integrate a tool that optimizes costs and reduces emissions across the value chain.
If you are a processing firm dealing with fragmented data on how different technologies perform in the field — this project developed an inventory of practices and emissions. You can use these results to prove the industrial viability and cost-effectiveness of your valorisation options.
If you are a consultant dealing with complex regulatory requirements for livestock farms — this project developed simplified life-cycle assessment (LCA) models. This helps you provide evidence-based technical guidelines to clients to avoid soil and water contamination.
Based on available project data, the specific price of the DSS tool is not mentioned; however, the project focuses on performing cost/benefit analysis to ensure strategies are cost-effective.
Yes, the project involves 35 farms across multiple climate zones and 22 partners, indicating a design intended for wide-scale application across the livestock value chain.
Based on available project data, specific licensing terms are not provided, but the project includes a work package dedicated to exploitation and dissemination of results.
The tool is designed to align with the European Green Deal and address gaps in existing legislation regarding greenhouse gases, air pollutants, and emerging contaminants.
The project runs from June 1, 2024, to May 31, 2028, with a prototype of the DSS tool planned as a deliverable.
The consortium is heavily weighted toward commercial application, with 9 industry partners (41% ratio) and 3 SMEs. The collaboration is geographically diverse, involving 22 partners across 9 countries, including a significant strategic link with 4 Chinese partners to cover 8 different climatic regions. This mix of 4 universities and 6 research centers ensures that the digital twin and LCA models are scientifically grounded while remaining commercially viable.
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Contact us to track the release of the DSS prototype and LCA models.
