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Adaptation of regional digital soil mapping for precision agriculture

Söderström, Mats and Sohlenius, Gustav and Rodhe, Lars and Piikki, Kristin (2016). Adaptation of regional digital soil mapping for precision agriculture. Precision agriculture. 17:5, 588-607
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Abstract

In the initial phase of a national project to map clay, sand and soil organic matter (SOM) content in arable topsoil in Sweden, a study area in south-west Sweden comprising about 100 000 ha of arable land was assessed. Models were created for texture, SOM and two estimated variables for lime requirement determination (target pH and buffering capacity), using a data mining method (multivariate adaptive regression splines). Two existing reference soil datasets were used: a grid dataset and a dataset created for individual farms. The predictor data were of three types: airborne gamma-ray spectrometry data, digital elevation from airborne laser scanning, and legacy data on Quaternary geology. Validations were designed to suit applicability assessments of prediction maps for precision agriculture. The predictor data proved applicable for regional mapping of topsoil texture at 50 x 50 m(2) spatial resolution (root mean square error: clay = 6.5 %; sand = 13.2 %). A novel modelling strategy, 'Farm Interactive', in which soil analysis data for individual farms were added to the regional data, and given extra weight, improved the map locally. SOM models were less satisfactory. Variable-rate application files for liming created from derived digital soil maps and locally interpolated soil data were compared with 'ground truth' maps created by proximal sensors on one test farm. The Farm Interactive methodology generated the best predictions and was deemed suitable for adaptation of regional digital soil maps for precision agricultural purposes.

Authors/Creators:Söderström, Mats and Sohlenius, Gustav and Rodhe, Lars and Piikki, Kristin
Title:Adaptation of regional digital soil mapping for precision agriculture
Series/Journal:Precision agriculture (1573-1618)
Year of publishing :2016
Depositing date:2 November 2016
Volume:17
Number:5
Page range:588-607
Number of Pages:20
Publisher:Springer
ISSN:1573-1618
Language:English
Publication Type:Journal article
Refereed:Yes
Article category:Scientific peer reviewed
Version:Published version
Full Text Status:Public
Agris subject categories.:P Natural resources > P31 Soil surveys and mapping
Subjects:(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 401 Agricultural, Forestry and Fisheries > Soil Science
(A) Swedish standard research categories 2011 > 2 Engineering and Technology > 207 Environmental Engineering > Remote Sensing
Agrovoc terms:spectrometry, soil texture, precision agriculture
Keywords:Gamma-ray spectrometry, Soil texture, Lime requirement, Digital soil mapping, MARSplines
URN:NBN:urn:nbn:se:slu:epsilon-e-3758
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-3758
Additional ID:
Type of IDID
Web of Science (WoS)000382683400005
DOI10.1007/s11119-016-9439-8
ID Code:13776
Faculty:NJ - Fakulteten för naturresurser och jordbruksvetenskap
Department:(NL, NJ) > Dept. of Soil and Environment
(S) > Dept. of Soil and Environment
Deposited By: SLUpub Connector
Deposited On:02 Nov 2016 13:03
Metadata Last Modified:02 Nov 2016 13:03

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