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Overview
Solutions in the agricultural sector that use weather forecasts can suffer from inaccuracies of standard weather service APIs, such as lack of granularity, no usage of in-field sensors, and low precision of generic models. Using FBK's expertise in advanced weather forecasting, we are capable of testing weather-related functionalities in solutions and proposing ways forward to take it to the next level: nowcasting, higher resolution, model optimisation for specific regions, etc.
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!
Customers developing agricultural solutions that require advanced weather forecasting can benefit from this service by testing their solutions and receiving recommendations for optimisation and enhanced capabilities.
This is a digital service, and its duration is approximately 16 weeks, adjustable as needed.Customers engage in requirements mapping for advanced weather forecasting in their solution and provide the software (under NDA). The customer receives a test result of its solution and a package with the verification software, a proposal for model optimisation, and recommendations for next-level enhancement.
Example of customisation:
- The customer wants to test an already implemented ML/AI solution that leverages or performs weather forecasts for business-related purposes. The service provides assessment tests on the performance of the implemented solution, possibly in comparison with existing state-of-the-art baselines.
Both qualitative and quantitative assessments will be provided.
Limitations:The service will provide a minimal amount of internal resources to perform test training and inference runs of AI models strictly limited to performing correctness tests on proposed optimisations or as part of the testing phase. All the resources and the engineering efforts for full training and validation of AI models are under the responsibility of the customer.
- The customer wants to test an already implemented ML/AI solution that leverages or performs weather forecasts for business-related purposes. The service provides assessment tests on the performance of the implemented solution, possibly in comparison with existing state-of-the-art baselines.
Both qualitative and quantitative assessments will be provided.
Limitations:The service will provide a minimal amount of internal resources to perform test training and inference runs of AI models strictly limited to performing correctness tests on proposed optimisations or as part of the testing phase. All the resources and the engineering efforts for full training and validation of AI models are under the responsibility of the customer.
Location
Remote
Type of Sector
Arable farming
Greenhouse
Horticulture
Livestock farming
Tree Crops
Viticulture
Type of service
AI model training
Performance evaluation
Test design
Test execution
Test setup
Accepted type of products
Software or AI model
