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| Content Provider | Springer Nature Link |
|---|---|
| Author | Marinello, F. Pezzuolo, A. Gasparini, F. Arvidsson, J. Sartori, L. |
| Copyright Year | 2015 |
| Abstract | Agricultural soil roughness is pertinent to important agricultural phenomena, such as evaporation, infiltration or compression. Monitoring roughness variations would make possible the improvement of tillage operations. In the present work, implementation of the Microsoft Kinect™ RGB-depth camera for dynamic characterization of soil micro-relief is proposed and discussed. The metrological performance and the effect of the operating conditions on three-dimensional reconstruction was analyzed considering both laboratory tests on calibrated reference surfaces and field tests on different agricultural soil surfaces. Data set analysis was made on the basis of surface roughness parameters, as defined by ISO 25178 (2012) series: average roughness, root mean square roughness, skewness and kurtosis. Correlation between different tillage conditions and roughness parameters describing soil morphology was finally discussed. |
| Starting Page | 601 |
| Ending Page | 612 |
| Page Count | 12 |
| File Format | |
| ISSN | 13852256 |
| Journal | Precision Agriculture |
| Volume Number | 16 |
| Issue Number | 6 |
| e-ISSN | 15731618 |
| Language | English |
| Publisher | Springer US |
| Publisher Date | 2015-05-12 |
| Publisher Place | New York |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Surface roughness Dynamic measurement Micro-relief Feedback Agriculture Soil Science & Conservation Remote Sensing/Photogrammetry Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Atmospheric Sciences |
| Content Type | Text |
| Resource Type | Article |
| Subject | Agricultural and Biological Sciences |
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