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Overview
This service involves deploying AI models in authentic agricultural environments to validate their predictions against real-world data. The process includes field deployment where AI models are integrated with drones or other data collection systems. Ground truth data is collected using manual measurements or industry-standard equipment, serving as a benchmark for accuracy evaluation. Models are compared against this data to assess performance and robustness across various conditions. If required, a feedback loop can be established to refine models based on discrepancies found, ensuring continuous improvement and reliable predictions for agricultural decision-making.
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!
The service helps customers by validating AI models against real-world conditions, ensuring accurate predictions. Before the service, customers may rely on models trained on controlled datasets; after the service, they receive insights into the model's performance in diverse environments, enabling informed adjustments.
The service involves testing the AI model or AI-based system or equipment in real farming conditions. It can be delivered during growing seasons with no specific location restrictions. The duration depends on the customer’s requirements. Customers receive detailed reports on model performance and recommendations for model improvements. Customers must provide initial model configurations and equipment.
The service can be customised by selecting specific crops or environmental conditions for testing.
Location
Denmark
Type of Sector
Arable farming
Greenhouse
Horticulture
Tree Crops
Viticulture
Type of service
Collection of test data
Data analysis
Desk assessment
Performance evaluation
Test design
Test execution
Test setup
Accepted type of products
Data
Physical system
Software or AI model
