- Multidisciplinary Expertise: Leveraging consolidated knowledge in key areas such as climate risk forecasting, precision irrigation, and crop health monitoring.
- Data Integration: Enabling the fusion of heterogeneous data sources into advanced models, including microclimatic analysis and computer vision for field diagnostics.
- Accessible Interfaces: Supporting the development of LLM-based conversational interfaces to improve access to complex agricultural knowledge and Decision Support Systems (DSS).
Key Value: Facilitating the full lifecycle for public and private stakeholders. From initial prototyping and validation to the scaling of specific agrifood solutions.
Practical example
Developing specialized tools for the agricultural domain requires integrating diverse environmental and technical data.
This service facilitates, among other activities:
- Precision Irrigation Prototyping: Collaborating to build services that integrate sensor data, satellite observations, and weather forecasts into water-optimizing decision tools.
- Territorial Resilience Planning: Co-developing climate risk analysis applications that combine environmental datasets and agronomic indicators for public authorities.
- Digital Advisory Tools: Integrating LLM-based interfaces with computer vision models to create user-friendly platforms for disease detection and crop monitoring.
Case Study: A digital agriculture provider develops a user-friendly advisory tool through this service. By integrating LLM-based interfaces and computer vision models, the platform enables real-time crop monitoring and disease detection for its users.
