Evaluation Method of Soil Surface Roughness after Ditching Operation Based on Wavelet Transform

Liu, Lichao; Bi, Quanpeng; Zhang, Qianwei; Tang, Junjie; Bi, Dawei; Chen, Liqing

doi:10.3390/act11030087

Cited by 7 publications

(4 citation statements)

References 30 publications

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“…In the background of the continuous development of robotics and the improvement of image processing technology, agricultural robot have learnt how to accomplish various tasks intelligently, efficiently, and safely, and according to their operating environment [171]. The various different operation objects remain a hot research issue [172,173]. Agricultural robots need to integrate artificial intelligence technology and be equipped with LiDAR, a depth camera, infrared camera, spectral camera, robotic arm, and other equipment, based on the fusion of multi-sensor information, to achieve a high stability of robot movement in the agricultural environment.…”

Section: Discussionmentioning

confidence: 99%

Actuators and Sensors for Application in Agricultural Robots: A Review

et al. 2022

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In recent years, with the rapid development of science and technology, agricultural robots have gradually begun to replace humans, to complete various agricultural operations, changing traditional agricultural production methods. Not only is the labor input reduced, but also the production efficiency can be improved, which invariably contributes to the development of smart agriculture. This paper reviews the core technologies used for agricultural robots in non-structural environments. In addition, we review the technological progress of drive systems, control strategies, end-effectors, robotic arms, environmental perception, and other related systems. This research shows that in a non-structured agricultural environment, using cameras and light detection and ranging (LiDAR), as well as ultrasonic and satellite navigation equipment, and by integrating sensing, transmission, control, and operation, different types of actuators can be innovatively designed and developed to drive the advance of agricultural robots, to meet the delicate and complex requirements of agricultural products as operational objects, such that better productivity and standardization of agriculture can be achieved. In summary, agricultural production is developing toward a data-driven, standardized, and unmanned approach, with smart agriculture supported by actuator-driven-based agricultural robots. This paper concludes with a summary of the main existing technologies and challenges in the development of actuators for applications in agricultural robots, and the outlook regarding the primary development directions of agricultural robots in the near future.

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Section: Discussionmentioning

confidence: 99%

Actuators and Sensors for Application in Agricultural Robots: A Review

et al. 2022

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“…The findings revealed that when the drilling depth varied, so did the RMSH values, as shown in Fig. 8 [10].…”

Section: Modeling Using Laser Scanning Technology (Create 3d Models O...mentioning

confidence: 91%

Evaluating The Approaches of the 3D Models Generation of a Soil Surface: A Review Study

Shaimaa Hailem Teamaa,

Jasim Ahmed Ali ALbaghdadi,

Farid Majid Abd

2023

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There are various approaches used to create 3D models of soil surfaces, including field surveying, photogrammetry and laser scanning methods. However, most of these methods are high cost, requiring many employees and long processing time. Thus, this study will evaluate these approaches and will show the merits and the significances of each approach used for 3D soil generations. The review study shows that the videogrammetric method is considered the efficient approach for 3D soil surface generation because it is economic, precise, fast, and needs few workers.

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“…Specifically, Lv et al [20] used the RMSH and CL to study the spatial and temporal variation in the soil erosion process, as well as the surface roughness in gangue hills; their results showed that both the RMSH and CL changed drastically when the rainfall was highly variable. Liu et al [21] designed four groups of trenching depths, and two surface conditions, under indoor trenching test conditions. After comparing the RMSH and CL data calculated before and after wavelet treatment, they found that the random roughness parameters could accurately characterize the surface under each group of tests, and that the RMSHs greatly increased after trenching treatment, while the CLs showed an obvious opposite trend in all five sections under each group of trenching depth treatments, proving that the directional roughness component of monopoly formation has a significant effect on the calculation of soil surface roughness.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Change Patterns of Soil Surface Roughness and Influencing Factors under Different Tillage Conditions in Typical Mollisol Areas of Northeast China

et al. 2023

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Soil surface roughness is an important factor affecting hydrology and soil erosion processes, and its development is influenced by precipitation, topography, and tillage practices. In this study, the typical mollisol area in northeast China was taken as the research object. Then, the variation in soil surface roughness with time was analyzed under different terrains, as well as different tillage methods, and the effect of the precipitation condition on roughness was also discussed in detail. Through the design of field experiments, the height information of the soil surface was measured using a probe-type roughness plate. Two parameters, the root-mean-square height (RMSH) and the correlation length (CL), were selected to quantitatively characterize the soil surface roughness. In addition, the dynamic change patterns of surface roughness resulting from five tillage methods, including rotary tillage, combined tillage, no tillage, conventional tillage, and reduced tillage, under both sloping and flat land, were compared and analyzed throughout the soybean growing season, under the influence of rainfall. The results show that with the increase in rainfall, the RMSH of the soil surface, under different tillage methods, showed a trend of first decreasing, and then increasing. The results also showed that the RMSHs under rotary tillage, combined tillage, conventional tillage, and reduced tillage in flat land were greater than those in sloping land, and that the CLs of the soil surface under different tillage methods in flat land were smaller than those in sloping land. In addition, the degree of variation in the soil surface roughness was greater in flat land than that in sloping land under all tillage practices, indicating that this study is of great practical importance in the rational selection of tillage methods, and in the scientific quantification of soil erosion, which also show obvious significance for soil and water conservation.

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Evaluation Method of Soil Surface Roughness after Ditching Operation Based on Wavelet Transform

Cited by 7 publications

References 30 publications

Actuators and Sensors for Application in Agricultural Robots: A Review

Actuators and Sensors for Application in Agricultural Robots: A Review

Evaluating The Approaches of the 3D Models Generation of a Soil Surface: A Review Study

Dynamic Change Patterns of Soil Surface Roughness and Influencing Factors under Different Tillage Conditions in Typical Mollisol Areas of Northeast China

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