Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/27372
Title: Sensing and 3D mapping of soil compaction
Authors: Uludağ Üniversitesi/Teknik Bilimler Meslek Yüksekokulu/Makine ve Metal Teknolojileri Bölümü.
Tekin, Yücel
Kul, Basri
Okursoy, Rasim
J-3560-2012
15064756600
24338263900
6506218306
Keywords: GPS
Penetration resistance
Soil compaction
Soil mapping
Agriculture
Global positioning system
Software testing
Soils
Data acquisition system
Mechanical systems
Penetration resistances
Randomly distributed
Soil compaction
Soil mapping
Soil penetration resistance
Spatial variability
Soil mechanics
Penetration resistance
Spatial variability
Physical-properties
Subsoil compaction
Field
Yield
Penetrometer
Prediction
Growth
Wheat
Chemistry
Engineering
Instruments & instrumentation
Issue Date: May-2008
Publisher: MDPI
Citation: Tekin, Y. vd. (2008). "Sensing and 3D mapping of soil compaction". Sensors, 8(5), 3447-3459.
Abstract: Soil compaction is an important physical limiting factor for the root growth and plant emergence and is one of the major causes for reduced crop yield worldwide. The objective of this study was to generate 2D/3D soil compaction maps for different depth layers of the soil. To do so, a soil penetrometer was designed, which was mounted on the three-point hitch of an agricultural tractor, consisting of a mechanical system, data acquisition system (DAS), and 2D/3D imaging and analysis software. The system was successfully tested in field conditions, measuring soil penetration resistances as a function of depth from 0 to 40 cm at 1 cm intervals. The software allows user to either tabulate the measured quantities or generate maps as soon as data collection has been terminated. The system may also incorporate GPS data to create geo-referenced soil maps. The software enables the user to graph penetration resistances at a specified coordinate. Alternately, soil compaction maps could be generated using data collected from multiple coordinates. The data could be automatically stratified to determine soil compaction distribution at different layers of 5, 10,...., 40 cm depths. It was concluded that the system tested in this study could be used to assess the soil compaction at topsoil and the randomly distributed hardpan formations just below the common tillage depths, enabling visualization of spatial variability through the imaging software.
URI: https://doi.org/10.3390/s8053447
https://www.mdpi.com/1424-8220/8/5/3447
http://hdl.handle.net/11452/27372
ISSN: 1424-8220
Appears in Collections:Scopus
Web of Science

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