In-field hyperspectral proximal sensing for estimating quality parameters of mixed pasture |
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Authors: | R R Pullanagari I J Yule M P Tuohy M J Hedley R A Dynes W M King |
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Institution: | (1) New Zealand Centre for Precision Agriculture (NZCPA), Institute of Natural Resources, Massey University, Private Bag 11-222, Palmerston North, New Zealand;(2) Institute of Natural Resources, Massey University, Private Bag 11-222, Palmerston North, New Zealand;(3) AgResearch, Lincoln Research Centre, Christchurch, 8140, New Zealand;(4) AgResearch, Ruakura Research Centre, Hamilton, 3240, New Zealand; |
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Abstract: | A study was conducted to explore the potential use of a hand-held (proximal) hyperspectral sensor equipped with a canopy pasture
probe to assess a number of pasture quality parameters: crude protein (CP), acid detergent fibre (ADF), neutral detergent
fibre (NDF), ash, dietary cation–anion difference (DCAD), lignin, lipid, metabolisable energy (ME) and organic matter digestibility
(OMD) during the autumn season 2009. Partial least squares regression was used to develop a relationship between each of these
pasture quality parameters and spectral reflectance acquired in the 500–2 400 nm range. Overall, satisfactory results were
produced with high coefficients of determination (R
2), Nash–Sutcliffe efficiency (NSE) and ratio prediction to deviation (RPD). High accuracy (low root mean square error-RMSE
values) for pasture quality parameters such as CP, ADF, NDF, ash, DCAD, lignin, ME and OMD was achieved; although lipid was
poorly predicted. These results suggest that in situ canopy reflectance can be used to predict the pasture quality in a timely
fashion so as to assist farmers in their decision making. |
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