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Improved farm soil mapping using near infrared reflection spectroscopy

Wetterlind, Johanna (2009). Improved farm soil mapping using near infrared reflection spectroscopy. Diss. (sammanfattning/summary) Uppsala : Sveriges lantbruksuniv., Acta Universitatis agriculturae Sueciae, 1652-6880 ; 2009:68
ISBN 978-91-576-7415-9
[Doctoral thesis]

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Abstract

Information on soil texture, soil organic matter content (SOM), nutrient status and pH is fundamental for efficient crop production and for minimising negative effects on the environment. Farmers obtain this information, on which decisions on fertiliser and lime requirements are based, through farm soil mapping. Although there is a general awareness that within-field and within-farm variations might not be adequately captured using conventional sample point density, simply increasing the number of sample pointes would increase the cost to unacceptable levels. In this thesis, near infrared reflection (NIR) spectroscopy was used to obtain more accurate information on within-field or within-farm variations in a number of soil properties. One central objective was to estimate the within-field variation in N mineralisation, to allow for improved N fertilisation strategies. Another was the development of economically feasible strategies for increasing sample point density in conventional farm soil mapping for improved decision support in precision agriculture. The results presented here show that NIR spectroscopy can be used to estimate N mineralisation (measured as plant N uptake) in fields with large variations in SOM, and that the additional predictive capacity of NIR compared with SOM is related to variations in soil texture. The results also demonstrate that it is possible to make small farm-scale calibrations with a very limited number of calibration samples for clay and SOM content, producing information at a considerably higher density than conventional farm soil mapping. Within-field calibrations for pH and easily available P, K and Mg-AL also proved possible, but more calibration samples were needed. Predictions for silt failed regardless of the number of calibration samples.

Authors/Creators:Wetterlind, Johanna
Title:Improved farm soil mapping using near infrared reflection spectroscopy
Year of publishing :2009
Volume:2009:68
Number of Pages:73
Papers/manuscripts:
NumberReferences
I.Wetterlind, J., Stenberg, B. & Jonsson, A. (2008). Near infrared reflectance spectroscopy compared with soil clay and organic matter content for estimating within-field variation in N uptake in cereals. Plant and Soil 302, 317-327.
II.Wetterlind, J., Stenberg, B. & Söderström, M. (2008). The use of near infrared (NIR) spectroscopy to improve soil mapping at the farm scale. Precision Agriculture 9(1-2), 57-69.
III.Wetterlind, J., Stenberg, B. & Söderström, M. Increased sample point density in farm soil mapping by local calibration of near infrared prediction models. (Submitted).
IV.Wetterlind, J. & Stenberg, B. Near infrared spectroscopy for within field soil characterisation – Small local calibrations compared with national libraries augmented with local samples. (Submitted).
Place of Publication:Uppsala
ISBN for printed version:978-91-576-7415-9
ISSN:1652-6880
Language:English
Publication Type:Doctoral thesis
Full Text Status:Public
Agrovoc terms:agricultural soils, infrared spectrophotometry, soil analysis, data collection, cartography, soil ph, soil texture, soil organic matter, soil fertility, nitrogen, mineralization, sweden
Keywords:Farm soil mapping, diffuse near infrared reflection spectroscopy, pedometrics, nitrogen mineralisation, pH, plant-available nutrients
URN:NBN:urn:nbn:se:slu:epsilon-2982
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-2982
ID Code:2108
Department:(NL, NJ) > Dept. of Soil and Environment
(S) > Dept. of Soil and Environment
Deposited By: Johanna Wetterlind
Deposited On:25 Sep 2009 00:00
Metadata Last Modified:02 Dec 2014 10:16

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