Estimation of Soil Surface Roughness Using Stereo Vision Approach
Soil roughness is one of the most challenging issues in the agricultural domain and plays a crucial role in soil quality. The objective of this research was to develop a computerized method based on stereo vision technique to estimate the roughness formed on the agricultural soils. Additionally, soi...
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| Format: | Article |
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MDPI AG
2021-06-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/13/4386 |
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| author | Afshin Azizi Yousef Abbaspour-Gilandeh Tarahom Mesri-Gundoshmian Aitazaz A. Farooque Hassan Afzaal |
| author_facet | Afshin Azizi Yousef Abbaspour-Gilandeh Tarahom Mesri-Gundoshmian Aitazaz A. Farooque Hassan Afzaal |
| author_sort | Afshin Azizi |
| collection | DOAJ |
| description | Soil roughness is one of the most challenging issues in the agricultural domain and plays a crucial role in soil quality. The objective of this research was to develop a computerized method based on stereo vision technique to estimate the roughness formed on the agricultural soils. Additionally, soil till quality was investigated by analyzing the height of plow layers. An image dataset was provided in the real conditions of the field. For determining the soil surface roughness, the elevation of clods obtained from tillage operations was computed using a depth map. This map was obtained by extracting and matching corresponding keypoints as super pixels of images. Regression equations and coefficients of determination between the measured and estimated values indicate that the proposed method has a strong potential for the estimation of soil shallow roughness as an important physical parameter in tillage operations. In addition, peak fitting of tilled layers was applied to the height profile to evaluate the till quality. The results of this suggest that the peak fitting is an effective method of judging tillage quality in the fields. |
| first_indexed | 2024-03-09T04:51:39Z |
| format | Article |
| id | doaj.art-164cc06e8f144c358e30fdb8e8f572ba |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T04:51:39Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-164cc06e8f144c358e30fdb8e8f572ba2023-12-03T13:09:15ZengMDPI AGSensors1424-82202021-06-012113438610.3390/s21134386Estimation of Soil Surface Roughness Using Stereo Vision ApproachAfshin Azizi0Yousef Abbaspour-Gilandeh1Tarahom Mesri-Gundoshmian2Aitazaz A. Farooque3Hassan Afzaal4Department of Biosystems Engineering, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil 56199-11367, IranDepartment of Biosystems Engineering, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil 56199-11367, IranDepartment of Biosystems Engineering, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil 56199-11367, IranFaculty of Sustainable Design Engineering, University of Prince Edward Island, Charlottetown, PE C1A4P3, CanadaFaculty of Sustainable Design Engineering, University of Prince Edward Island, Charlottetown, PE C1A4P3, CanadaSoil roughness is one of the most challenging issues in the agricultural domain and plays a crucial role in soil quality. The objective of this research was to develop a computerized method based on stereo vision technique to estimate the roughness formed on the agricultural soils. Additionally, soil till quality was investigated by analyzing the height of plow layers. An image dataset was provided in the real conditions of the field. For determining the soil surface roughness, the elevation of clods obtained from tillage operations was computed using a depth map. This map was obtained by extracting and matching corresponding keypoints as super pixels of images. Regression equations and coefficients of determination between the measured and estimated values indicate that the proposed method has a strong potential for the estimation of soil shallow roughness as an important physical parameter in tillage operations. In addition, peak fitting of tilled layers was applied to the height profile to evaluate the till quality. The results of this suggest that the peak fitting is an effective method of judging tillage quality in the fields.https://www.mdpi.com/1424-8220/21/13/4386stereo visionsoil roughnesstillagedepth map |
| spellingShingle | Afshin Azizi Yousef Abbaspour-Gilandeh Tarahom Mesri-Gundoshmian Aitazaz A. Farooque Hassan Afzaal Estimation of Soil Surface Roughness Using Stereo Vision Approach Sensors stereo vision soil roughness tillage depth map |
| title | Estimation of Soil Surface Roughness Using Stereo Vision Approach |
| title_full | Estimation of Soil Surface Roughness Using Stereo Vision Approach |
| title_fullStr | Estimation of Soil Surface Roughness Using Stereo Vision Approach |
| title_full_unstemmed | Estimation of Soil Surface Roughness Using Stereo Vision Approach |
| title_short | Estimation of Soil Surface Roughness Using Stereo Vision Approach |
| title_sort | estimation of soil surface roughness using stereo vision approach |
| topic | stereo vision soil roughness tillage depth map |
| url | https://www.mdpi.com/1424-8220/21/13/4386 |
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