Practice Abstract - Research and innovation
Enhancing Agricultural Value Chains through Agent-Based Modelling
Enhancing Agricultural Value Chains through Agent-Based Modelling
Agent-Based Modeling (ABM) tools have the power to revolutionize agriculture. This approach provides valuable insights that can improve how farmers and end-users operate on a daily basis. ABM's influence on value chains can offer crucial recommendations for policy and market changes, leading to shifts in practices and development processes.
- Data and Interaction: ABM relies on data from various sources throughout the value chain. To make this work, it's important to standardize data formats and streamline interactions, possibly through ontologies.
- Market-Centric Approach: In BIOVALUE's framework, we consider both value chains and markets. Markets have a big impact on how agents behave. ABM incorporates demand-related factors to make market recommendations, which in turn influence the decisions of everyone in the value chain.
- Practical Benefits Unleashed: ABM’s results empower stakeholders. It guides choices, determining the feasibility of new products and understanding how policies affect markets.
- Entrepreneurial Edge: This approach leads to cost-effectiveness, productivity, and informed choices, underlining practical relevance and profit potential.
Hence, ABM’s value chain applications provide practitioners with a toolkit for modern agriculture since it bridges capability and real-world impact, boosting agriculture, profits, and sustainability.
Source Project
Completed | 2021-2025
BioValue: Fork-to-farm agent-based simulation tool augmenting BIOdiversity in the agri-food VALUE chain
Completed | 2021-2025
- Main funding source
- Horizon Europe (EU Research and Innovation Programme)
- Geographical location
- Greece, Germany, Cyprus, Estonia, Italy, Serbia, Turkey, Norway