Quantitative Evaluation of Post-Tillage Soil Structure Based on Close-Range Photogrammetry

Xinxin Chen (), Yongxiu Guo, Jianping Hu, Gaoming Xu, Wei Liu, Guoxin Ma, Qishuo Ding and Ruiyin He
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Xinxin Chen: Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, School of Agriculture Engineering, Jiangsu University, Zhenjiang 212013, China
Yongxiu Guo: Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, School of Agriculture Engineering, Jiangsu University, Zhenjiang 212013, China
Jianping Hu: Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, School of Agriculture Engineering, Jiangsu University, Zhenjiang 212013, China
Gaoming Xu: Jiangmen Polytechnic, College of Intelligent Manufacturing and Equipment, Jiangmen 529030, China
Wei Liu: Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, School of Agriculture Engineering, Jiangsu University, Zhenjiang 212013, China
Guoxin Ma: Key Laboratory of Modern Agricultural Equipment and Technology, Ministry of Education, School of Agriculture Engineering, Jiangsu University, Zhenjiang 212013, China
Qishuo Ding: Key Laboratory of Intelligent Agricultural Equipment of Jiangsu Province, College of Engineering, Nanjing Agricultural University, Nanjing 210031, China
Ruiyin He: Key Laboratory of Intelligent Agricultural Equipment of Jiangsu Province, College of Engineering, Nanjing Agricultural University, Nanjing 210031, China

Agriculture, 2024, vol. 14, issue 12, 1-19

Abstract: Soil tillage is essential for improving soil structure, enhancing fertility, promoting crop growth, and increasing yield. However, precise and efficient standardized methods for quantitatively evaluating post-tillage soil structure are still absent. This study aims to develop a general quantitative evaluation method for post-tillage soil structure using close-range photogrammetry. Six soil surface sample plots of different scales were selected, and two image acquisition methods and three platforms were chosen for image capture and 3D reconstruction. Geomagic Wrap was used for post-processing the models, with indicators such as clod sizes, surface flatness, and cumulative percentage used for quantitative description. Model accuracy was validated using traditional needle plate and vernier caliper measurements. The most effective combinations of image acquisition methods and 3D reconstruction platforms were identified based on modeling efficiency and quality. The results showed that combining image acquisition, 3D reconstruction platforms, and post-processing software enables high-precision 3D reconstruction and accurate digital information retrieval. Image Acquisition Method One and the AgisoftMetashape platform demonstrated the best combination in terms of model completeness, texture detail, and overall quality. This combination is recommended for the 3D reconstruction and digital information retrieval of soil surfaces. This study provides a method for evaluating post-tillage soil structure, including image acquisition, 3D reconstruction, model post-processing, and quantitative metrics.

Keywords: photogrammetry; soil tillage quality; image acquisition; 3D reconstruction; quantification (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2024
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