Agronomic Validation of AI and Robotic Technologies
Universitat de Lleida (UdL)
Location
At user's premises
Spain
Arable farming
Horticulture
Greenhouse
We offer experimentation fields for arable crops, horticulture crops, and greenhouse facilities. These environments can be complemented with agronomic validation services, sample laboratory analysis or crop characterisation if required.
All combined serve as testbeds for data acquisition throughout the crops’ growth cycle, providing the infrastructure and expertise to support companies in the testing, validation and improvement of their technological solutions in real agricultural conditions.
This includes:
- AI-based solutions, such as training and calibration predictive models and algorithms for agronomy applications, including automatic weed detection, biomass and yield estimation, phenological characterisation, or pest and disease monitoring.
- Robotic systems and machinery that require physical testing, such as autonomous vehicles, precision spraying equipment, harvesting robots, or treatment platforms.
AI model training
Collection of test data
Data analysis
Performance evaluation
Provision of datasets
Test execution
Test design
Test setup
