Skip to main content Accessibility help
×

Temporary Disruption

We have implemented additional assurance measures to protect our systems.

As a result, we have suspended some of our systems and services. We apologise for any temporary disruption some customers may experience.

  1. Home
  2. Search

Refine search

Refine search

Access:
Content type:
Publication date:
Apply   From and To filters
Subject: Show more
Journals Show more
Publishers: Show more
Societies Show more
Series: Show more
Collections: Show more

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
Cancel
×

1 results

  • Estimating pasture biomass with active optical sensors

  • K. Andersson, M. Trotter, A. Robson, D. Schneider, L. Frizell, A. Saint, D. Lamb, C. Blore
  • Journal:
    Advances in Animal Biosciences / Volume 8 / Issue 2 / July 2017
    Published online by Cambridge University Press:
    01 June 2017, pp. 754-757
    Print publication:
    July 2017

  • We investigated relationship between pasture biomass and measures of height and NDVI (normalised difference vegetation index). The pastures were tall fescue (Festuca arundinacea), perennial ryegrass (Lolium perenne), and phalaris (Phalaris aquatica) located in Tasmania, Victoria and in the Northern Tablelands of NSW, Australia. Using the Trimble® GreenSeeker® Handheld active optical sensor (AOS) to measure NDVI, and a rising plate meter, the optimal model to estimate green dry biomass (GDM) during two years was a combination of NDVI and falling plate height index. The combined index was significantly correlated with GDM in each region during winter and spring (r2=0.62–0.77, P<0.001). Regional calibrations provided a smaller error in estimates of green biomass, required for potential application in the field, compared to a single overall calibration. Data collected in a third year will be used to test the accuracy of the models.