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SLU publication database (SLUpub) (stage)(solr2:8983)

Conference paper2024Peer reviewed

Robotics on leys: An Unmanned Ground Vehicle to monitor forage grasslands

Oliveira, J.; Morel, J.; Haluska, J.; et al.

Abstract

Remote sensing information supports farmers to adjust practices and increase the forage grassland production and efficiency of dairy and meat production. Unlike satellites, which can be affected by weather conditions, or drones, which face regulatory restrictions and payload limitations, Unmanned Ground Vehicles (UGVs) could become an efficient scouting tool to help farmers in their decision-making processes. In the scope of the “Robotics on leys” pilot project, we developed a compact agricultural robot equipped with GPS, cameras and spectrometers. An initial trial occurred in a ley field (a mixture of grass and red clover) in Northern Sweden in 2023. We successfully captured georeferenced images, videos and spectral data. The robot showed a potential to be used in field conditions to acquire spectral data and pictures, which could be used in the future to estimate botanical composition, biomass production, and winter survival. The next steps will be communicating with stakeholders and implementing more processing and improvements.

Keywords

forage; monitoring; UGV; remote sensing; farming practices

Published in

Grassland Science in Europe
2024, number: 29, pages: 618-620
Title: Why grasslands? : Proceedings of the 30th General Meeting of the European Grassland Federation Leeuwarden, the Netherlands 9-13 June 2024
Publisher: Organising Committee of the 30th General Meeting of the European Grassland Federation

Conference

30th General Meeting of the European Grassland Federation Leeuwarden, 9-13 June 2024, Leeuwarden, the Netherlands

SLU Authors

UKÄ Subject classification

Remote Sensing
Agricultural Science

Publication identifier

  • eISBN: 978-90-903-8494-8

Permanent link to this page (URI)

https://res.slu.se/id/publ/140458