Afshin Azizi
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Afshin Azizi has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- Aitazaz Ahsan Farooque
Faculty of Sustainable Design Engineering, University of Prince Edward Island, Charlottetown, Canada
1 shared publication - Hassan Afzaal
Faculty of Sustainable Design Engineering, University of Prince Edward Island, Charlottetown, PE C1A4P3, Canada
1 shared publication - Tarahom Mesri Gundoshmian
Department of Biosystems Engineering, University of Mohaghegh Ardabili, Ardabil, Iran
1 shared publication - Yousef Abbaspour-Gilandeh
Department of Biosystems Engineering College of Agriculture and Natural Resources, University of Mohaghegh Ardabili Ardabil Iran
1 shared publication
Latest Publications
- Open Access
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, 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.
Open AccessEstimation 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, 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.