Articles | Volume 5, issue 2
https://doi.org/10.5194/jsss-5-301-2016
https://doi.org/10.5194/jsss-5-301-2016
Regular research article
 | 
02 Aug 2016
Regular research article |  | 02 Aug 2016

Comparing mobile and static assessment of biomass in heterogeneous grassland with a multi-sensor system

Hanieh Safari, Thomas Fricke, Björn Reddersen, Thomas Möckel, and Michael Wachendorf

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Latest update: 19 Feb 2024
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Short summary
This study aimed to explore the potential of a multi-sensor system for assessment of biomass in pastures under different grazing intensities. Prediction accuracy with a mobile application of sensors was always lower than when sensors were applied statically. However accuracy of biomass prediction improved with increasing grazing intensity. Although the limitations associated with the system especially in very lenient pastures, the finding opens up a perspective for future grazing management.