Investigation on Data Collection and Fractal Characteristics of Soil Surface Roughness

Abstract

It is of great significance to acquire the soil surface roughness accurately for the study of the interaction between tractors and soil. Based on the laser sensor, this paper proposed the non-contact measuring instrument of the soil surface roughness with the data acquiring system by using Lab-View software. By using W-M theory, three commonly used fractal dimension calculation methods are compared and analyzed.. The result showed that the Root-mean-square method has the highest accuracy and clear physical meaning, which is ideal method to calculate the soil surface roughness characteristics. When the fractal dimension is between 1.4 and 1.6, the acquired data is analysed by the Root-mean-square method to obtain the fractal features of the soil surface roughness. The experiment results indicated that the fractal dimension of the ploughed surface is 1.39, that of disc harrow surface is 1.550, and that of rolled surface is 1.46-1.54. Obviously, the fractal dimension can accurately distinguish the soil surface roughness with the different treatments. However, the fractal dimension selected from different scales showed an obvious instability during calculations. The surface roughness index combined with the two parameters can effectively represent the soil surface roughness, and the larger the surface roughness index is, the greater the surface roughness is.

Image Evaluation Method for Rotary Tillage Operation Quality

“…et al,1992). From the perspective of quantitative analysis, scholars improve the measurement quality by using high-precision instruments and technologies, such as using laser sensors to scan the contour of the soil surface (Yi Qiu et al, 2020;Daniele Pochi et al, 2010) and using unmanned aerial vehicles to carry cameras and imaging technology to evaluate the quality of cultivation (Roberto Fanigliulo et al, 2020;Naveed Anwar et al, 2018). If the simulation experiment is only conducted in the laboratory, very good results will be obtained whether using laser sensors or cameras.…”