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Overview
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.
More about the service
Discover more about our service, including how it can benefit you, the delivery process, and the options for customisation tailored to your specific needs!
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.
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.
- 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.
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.
Location
Denmark
Type of Sector
Arable farming
Greenhouse
Horticulture
Livestock farming
Tree Crops
Type of service
Data analysis
Desk assessment
Performance evaluation
Test design
Test execution
Test setup
Accepted type of products
Design / Documentation
Physical system
