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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Cited articles

Adamchuk, V. I., Hummel, J. V., Morgan, M. T., and Upadhyaya, S. K.: On-the-go soil sensors for precision agriculture, Comp. Elect. Agric., 44, 71–91, 2004.
Biewer, S., Fricke, T., and Wachendorf, M.: Determination of Dry Matter Yield from Legume–Grass Swards by Field Spectroscopy, Crop Sci., 49, 1927–1936, https://doi.org/10.2135/cropsci2008.10.0608, 2009a.
Biewer, S., Fricke, T., and Wachendorf, M.: Development of Canopy Reflectance Models to Predict Forage Quality of Legume–Grass Mixtures, Crop Sci., 49, 1917–1926, https://doi.org/10.2135/cropsci2008.11.0653, 2009b.
Castle, M. E.: A simple disc instrument for estimating herbage yield, J. Br. Grassl. Soc., 31, 37–40, https://doi.org/10.1111/j.1365-2494.1976.tb01113.x, 1976.
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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.