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Different methods of yield recordings in grassland – how accurate are they in practice?

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dc.contributor.authorKrug, Priska
dc.contributor.authorFörschner, Adriana
dc.contributor.authorWiggenhauser, Tobias
dc.contributor.authorNußbaum, Hansjörg
dc.contributor.authorWeber, Jonas
dc.contributor.editorHoffmann, Christa
dc.contributor.editorStein, Anthony
dc.contributor.editorRuckelshausen, Arno
dc.contributor.editorMüller, Henning
dc.contributor.editorSteckel, Thilo
dc.contributor.editorFloto, Helga
dc.date.accessioned2023-02-21T15:14:07Z
dc.date.available2023-02-21T15:14:07Z
dc.date.issued2023
dc.description.abstractThe aim of the study is to determine the yields in grassland using various methods. Yield recording in grassland has not been common practice so far. Yields can be recorded using various methods as height measurement, for example by using a rising-plate-meter (Grasshopper), measuring the weight of sample cut or by capturing the weight of harvested biomass. A yield estimation with the Grasshopper is carried out on three plots and is validated via sample cuts. The harvest chain is recorded digitally and the harvest quantity (weight) is measured with the load cells in the loader wagon, a validation is carried out via a wagon scales. The results presents underestimated yields when using the Grasshopper. The recording of harvest weights via the loader wagon's load cells was confirmed by the wagon scales. This method can be easily used in practice, if available. However, a determination of the dry matter content remains key. The correct determination of dry matter is crucial for accurate yield recording, but this is where very great challenges lie, especially for practice. Further investigations have to be carried out.en
dc.identifier.isbn978-3-88579-724-1
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/40279
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartof43. GIL-Jahrestagung, Resiliente Agri-Food-Systeme
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-330
dc.subjectyield estimation
dc.subjectGrasshopper
dc.subjectgrassland
dc.subjectannual yield
dc.subjectdigital yield recording
dc.titleDifferent methods of yield recordings in grassland – how accurate are they in practice?en
dc.typeText/Conference Paper
gi.citation.endPage392
gi.citation.publisherPlaceBonn
gi.citation.startPage387
gi.conference.date13.-14. Februar 2023
gi.conference.locationOsnabrück

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P330 - 43. GIL-Jahrestagung 2023 - Fokus: Resiliente Agri-Food-Systeme