The service focuses on testing and validating AI-based agri-tech technologies using drones. Drones equipped with advanced RGB and spectral cameras provide detailed area overviews and precise measurements of plant and tree growth and stress levels. This can include biomass determination, growth model development, yield potential assessment, plant cover evaluation, individual plant counting, damage assessments, and disease stress symptom identification. Our expertise lies in leveraging high-precision multi- and hyperspectral cameras in field trials to obtain "ground truth" data, essential for model validation. We transform drone data into actionable insights through AI analysis, agronomic expertise, web programming, and mathematical modelling.
How can the service help you?
This service fulfils the need for accurate testing and validation of AI models in agriculture. Before using the service, customers may have AI models lacking validation in real farming conditions. After engaging with our service, they receive validated AI models with comprehensive data insights to improve agricultural productivity and decision-making.
How the service will be delivered
The service will perform the following steps:
- Conduct drone flights in field trials with RGB, multispectral, or hyperspectral cameras to test AI models.
- Extract plot values from drone data and perform statistical calculations for AI validation.
- Use AI for statistical modelling of growth during repeated flights throughout the growing season.
- Test and validate AI methods for crop analysis from drone data. It is also possible to customise the steps, based on the needs of the company.A report will be delivered, documenting the results of the test and validation of the agri-tech solution.
Service customisation
Options for customisation are available, including specific AI model testing configurations and field trial setups. Customers should inform us of any specific requirements or limitations in advance.