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Validation of UAV solutions for crop production under real work conditions

The service provides essential real-world testing for UAV (Unmanned Aerial Vehicle) innovations in agriculture, helping...

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Validation of sensors and decision support systems for crop production under real work conditions

The specialised service permits evaluating customer innovations in real-world Nordic. The RISE team focuses on...

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Data pipeline evaluation for AI applications

The purpose of the service is to ensure that data protocols and pipelines are adequate to the AI application developed...

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Evaluation of results of physical testing

This service performs the crucial step that follows the execution of physical experimentation, i.e., evaluation of the...

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Evaluation of readiness for testing of physical systems

Through this assessment, we offer customers a complete feasibility study of the use cases and systems that customers...

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Design of evaluation metrics for physical testing

Any physical test activity involves three main components: environment (where the tests take place), protocol (defining...

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Provision of datasets

During the development of systems based on AI and/or robotics, tailored data are needed to support the realisation...

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People training services

The AgrifoodTEF consortium comprises a set of testing and experimentation facilities and targeted services aimed at...

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AI model training

This service concerns training AI models on behalf of the customer for a specific task and optimisation objective, e.g...

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Data labelling

This service concerns the curation of ground truth annotations for testing and experimentation data. More specifically...

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Preparation of computational test environment

To successfully conduct a digital testing campaign, preparatory activities are usually required to set up the...