Filtered results 1024 results found
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Test and development of innovative and practical agri-food applications of the metaverse
It creates immersive virtual environments within the metaverse that replicate real-world agri-food settings, such as...
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Feasibility analysis of a selected AI or robotics use case in agriculture
This follow-up service supports clients who, based on a prior assessment or internal selection, want to explore a...
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Support in interconnecting systems to physical infrastructure
Testing a system in a physical environment requires an environment that has been prepared and set up to support the...
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Evaluation of Precision Herbicide Application Systems
This service tests the performance, efficacy and efficiency of herbicide application systems that use AI and robotics to...
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Validation of Weed Detection Systems
This service evaluates the accuracy and effectiveness of AI-driven weed detection systems, ensuring their accuracy in...
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Execution of physical testing
Any physical test activity involves three main components: environment (where the tests take place), protocol (defining...
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Support in interconnecting systems to agrifoodTEF’s computational test infrastructure
Digital testing requires interaction among several different components which have to reliably cooperate to enable the...
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Collection of test data during digital testing
One of the key activities during digital testing is the collection of data concerning the progression and the final...
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Qualification of trajectory execution accuracy of crop production robots (outdoor mobility)
The test assesses the accuracy of crop production robots in following precise paths across different terrains...
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Data Collection using UGVs and modular sensor payloads
This service consists of deploying a modular sensor payload (equipped with Lidar, inertial motion units, GNSS, Radar...
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Evaluation of results of digital testing
This service concerns the processing of data collected during digital testing of a system, i.e., experimentation done in...
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Data validation and processing
Validation (e.g., check for technical quality) and/or processing (e.g., transcoding, formatting, association with ground truth) of datasets.