Targeted group is the farmers that are connected implicitly by data and their experience. 

By integrating a data platform with machine learning algorithms and visualization tools, Vin-Q can not only improve decision-making processes but also predict future vineyard performance and optimize management strategies proactively.

1. **Enable Rapid Adaptation of regenerative practices** through Iterative learning from real-time data in the field of farmers ensures that the platform can quickly adapt to changing conditions.
2. **Encourage Community Innovation**: Users can share and valorize personalized strategies, fostering swarm intelligence and collaborative problem-solving.
3. **Reducing Centralized Risks**: Distributing AI capabilities across a network of autonomous agents reduces the risks associated with centralized systems and "expert" advices.
4. **De-risk the transition to regenerative agriculture** through sharing knowledge from successful applications.
5.** Provide a distributed and decentralized research** space to test new methods, ideas in real environment with the participation of farmers.