Skip to main content
padlock icon - secure page this page is secure

Seasonal prediction of in situ pasture macronutrients in New Zealand pastoral systems using hyperspectral data

Buy Article:

$60.00 + tax (Refund Policy)

To evaluate the ability of field remote sensing for predicting pasture macronutrients, hyperspectral reflectance data between 350 and 2500 nm were acquired from a number of dairy and sheep pasture canopies in New Zealand. Reflectance factor, absorbance, derivatives, and continuum-removal data were regressed against pasture nitrogen (N), phosphorus (P), and potassium (K) concentrations using partial least squares regression (PLSR). Overall, more accurate predictions were achieved using the first derivative data. The accuracy of the PLSR calibration models to predict pasture N, P, and K concentrations increased with the separation of the pasture samples by season. Predictions with reasonable accuracy (coefficient of determination, R 2 > 0.74, and the ratio of standard deviation (SD) of the nutrients measured to the root mean square error of cross-validation (RMSECV) ≥ 2.0) were obtained for N during winter (RMSECV ≤ 0.23%), autumn (RMSECV ≤ 0.36%), and summer (RMSECV ≤ 0.43%) seasons; P during autumn (RMSECV = 0.05%); and K during summer (RMSECV = 0.33%).
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
No Metrics

Document Type: Research Article

Affiliations: 1: Institute of Natural Resources (INR),Massey University, PO 11222Palmerston North,4442, New Zealand 2: AgResearch Grassland Research Centre, PO 11008Palmerston North,4442, New Zealand

Publication date: January 10, 2013

More about this publication?
  • Access Key
  • Free content
  • Partial Free content
  • New content
  • Open access content
  • Partial Open access content
  • Subscribed content
  • Partial Subscribed content
  • Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more