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

Viewed

Total article views: 2,877 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,272 1,118 487 2,877 118 129
  • HTML: 1,272
  • PDF: 1,118
  • XML: 487
  • Total: 2,877
  • BibTeX: 118
  • EndNote: 129
Views and downloads (calculated since 02 Aug 2016)
Cumulative views and downloads (calculated since 02 Aug 2016)

Cited

Latest update: 19 Nov 2024
Download
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.