List of public deliverables, papers, documents, and datasets
All material on this page is licensed under the Creative Commons CC BY 4.0 International license unless noted otherwise.
General
Vision and scenarios
Vision and scenarios
Deliverables
WP1 - Management
D1.1 - IPR Strategic Plan
D1.2 - The Romi Rover - Project Management
WP2 - Robot for weeding and detailed crop monitoring
D2.1 - First LettuceThink prototype
WP3 - Drone for aerial crop monitoring
D3.1 - First NERO prototype
WP4 - Adaptive learning for the coordinated control of sensors and actuators
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
WP5 - Advanced sensing and analysis of crops
D5.1 - Demonstration of a 3d image segmentation application for weeding
D5.3 - Demonstration of indoor and outdoor, 3d reconstruction of plants
WP6 - Plant modelling
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.
D6.1 - Simplified model of Arabidopsis thaliana
D6.2 - Model of crop species #1
D6.3 - Results of trained models
WP7 - Data acquisition and real-world application testing
D7.1 - Description of the experimental set-up of the outdoor field studies
D7.2 - Intermediate report on the field studies I
WP8 - Dissemination and exploitation
D8.1 - Data Management Plan
D8.2 - Intermediate dissemination report I
WP9
D9.1 - POPD - Requirement No. 1
Datasets
Segmentation dataset