List of public deliverables, papers, documents, and datasets
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Vision and scenarios
D1.2 - The Romi Rover - Project Management
The goal of the work in WP4 system is to improve the 3D reconstruction of the plants by generating robot movements that optimise the information obtained by the camera sensors.
D4.1 - Report on the experimental set-up of the adaptive learning system
D4.2 Intermediate report on the theoretical advances and the experimental results of the adaptive learning system
D5.1 - Demonstration of a 3d image segmentation application for weeding
D5.3 - Demonstration of indoor and outdoor, 3d reconstruction of plants
The ROMI project develops a toolbox for plant scanning and analysis that combines different approaches. In WP6 we develop an approach that is heavily based on plant models. These models are used as a support for the data analysis and plant segmentation but also as a source for synthetic images used to train neural networks.
D6.3 - Results of trained models
D7.1 - Description of the experimental set-up of the outdoor field studies
D8.1 - Data Management Plan
D8.2 - Intermediate dissemination report I
D9.1 - POPD - Requirement No. 1