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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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