Machine vision for soil roughness measurement and control of tillage machines during seedbed preparation

Riegler-Nurscher, Peter; Moitzi, Gerhard; Prankl, Johann; Huber, Josef; Karner, Jürgen; Wagentristl, Helmut; Vincze, Markus

doi:10.1016/j.still.2019.104351

Cited by 22 publications

(8 citation statements)

References 23 publications

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“…Recently, multiple view methods have been developed for estimating soil roughness in real time using a stereo camera consisting of two cameras for recording two synchronized images from which roughness indices can be calculated (Gilliot et al, 2017 andBauer et al, 2015). The soil roughness estimated from these images enables site-specific tillage taking into account spatially varying soil properties in the field (Riegler-Nurscher et al, 2020). Marinello et al (2015) used active optical sensor system Microsoft KinectTM based on depth sensing camera technology which was developed for applications in video gaming.…”

Section: Plain Language Summarymentioning

confidence: 99%

“…The farming practices intended to create optimal conditions for crop development play a key role in determining the morphology of the soil surface (Baghdadi et al., 2008; Cierniewski et al., 2015; Korucu et al., 2016). The roughness of the soil surface after the agrotechnical treatment depends on the management practices: the speed at which the tool moves in the field (Riegler‐Nurscher et al., 2020) and the working depth of the tool (Bögel et al., 2016). However, the same tillage tool can create various degrees of soil surface roughness depending on the properties of the soil.…”

Section: Introductionmentioning

confidence: 99%

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Estimating Soil Surface Roughness With Models Based on the Information About Tillage Practises and Soil Parameters

Herodowicz‐Mleczak

Piekarczyk

Kaźmierowski

et al. 2022

J Adv Model Earth Syst

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The quantitative description of the soil surface roughness is necessary for effective monitoring of wind, water and tillage erosion, hydrological processes or greenhouse gas emissions. The aim of this work was to build soil roughness predictive models based on the type of tillage tool, the roughness indices and soil properties. The roughness formed by five tillage tools was determined. Two surface roughness indices: Height Standard Deviation (HSD) and T3D (Tortuosity index) were calculated from Digital Elevation Model. The both roughness indices demonstrated a significant correlation, however, they provided different information about soil roughness. The HSD describes roughness on the “macro,” while T3D refers to the “micro” scale. Hence, our findings show that a single index is not sufficient to describe the roughness of post‐treatment surface. The linear and random forest models were built to describe the relationships between the roughness indices, type of tillage tool and soil properties. The HSD analysis indicated that the type of tillage tools had the greatest impact on post‐treatment roughness. In contrast, T3D analysis found soil texture to have a significant effect, together with tillage tools. In all modeling scenarios, T3D was more accurately predicted than HSD by both the linear (R2 = 0.62 vs. R2 = 0.60) and random forest models (R2 = 0.58 vs. R2 = 0.55). Predictive soil surface roughness models can be applied effectively for estimating water retention in soil, the intensity and speed of surface water flow, soil erosion, the level of reflected shortwave solar radiation or soil properties by remote sensing techniques.

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Section: Plain Language Summarymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Estimating Soil Surface Roughness With Models Based on the Information About Tillage Practises and Soil Parameters

Herodowicz‐Mleczak

Piekarczyk

Kaźmierowski

et al. 2022

J Adv Model Earth Syst

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“…A group of Austrian scientists [7] developed a system for controlling the frequency of active working bodies rotation based on a surface roughness analysis. This parameter was determined using a machine vision system, which included stereo cameras mounted on the front beam of the frame.…”

Section: Research Resultsmentioning

confidence: 99%

Automated control complexes of the tillage units operation

et al. 2020

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The authors showed that a further productivity increase and an improvement in the tillage quality require the use of automated control systems for the tillage units operation. (Research purpose) To make a structural components analysis of a complex of tillage units automated control. (Materials and methods) The authors used scientific and technical information and patent literature. They made a structural components analysis of an automated control system of the tillage units operation.(Results and discussion) The authors showed that the system for assessing the technical condition of a tillage can use a vision system and tensometric equipment. The adaptive functional configuration system involves the use of a system for scanning the subsoil layer, technical vision, and tensometric equipment. One of the most important aspects of the stability of the technological process is the development of conditions for the formation of a self-fulfilling traction line. (Conclusions) Tensometric equipment, a vision system, and ultrasound scanning can be used as systems included in the automated control complexes of the tillage units operation. The functioning of these systems should be based on the operation of a neural network, linking the soil cultivation quality indicators and the implement kinematic parameters in a joint complex.

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“…In the last few decades, the adoption of conventional tillage has declined worldwide due to its high energy demand and soil degradation issues leading to compacted soil composed of fine particles with low levels of soil organic matter [14]. This increased environmental consciousness in the agricultural sector pushed the development of innovative eco-friendly machines by researchers and manufacturers [15][16][17][18][19] and the broader adoption of conservative tillage (CT) techniques by farmers [20]. Conservation tillage (CT) is a tillage system that creates a suitable soil environment for growing a crop and that conserves soil, water, and energy resources mainly through a reduction in the intensity of tillage and the retention of plant residues [13].…”

Section: Introductionmentioning

confidence: 99%

Rotary Ripper: A Possible Solution to Increase the Efficiency of Tillage Operations

Varani

Mattetti

2023

Agronomy

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Manufacturers are looking for innovative solutions to improve the sustainability of their products in terms of environmental, economic, and social issues. Many studies demonstrate that conservative tillage techniques can be more advantageous for the environment and farmer profits than conventional tillage techniques. However, conservative tillage tools have certain disadvantages, including challenging weed control and stagnation issues in humid conditions due to low soil porosity at depth. In this study, field tests were conducted comparing the performances of a conventional tillage technique, using a ripper and a rotary tiller, and the usage of an innovative rotary ripper (Rotoripper). The comparison was performed in terms of energy requirements, through data acquisition during tillage operations, tilled soil quality, through soil sieving and cone penetration tests, and ownership costs, through acquired field data and literature databases. The results indicate that increased porosity of the soil in the deepest layer and increased cost-effectiveness are the main advantages attainable with the use of the Rotoripper instead of conventional tillage equipment. However, because of the low soil segregation level achieved with the Rotoripper, additional tillage activities are required before planting.

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Machine vision for soil roughness measurement and control of tillage machines during seedbed preparation

Cited by 22 publications

References 23 publications

Estimating Soil Surface Roughness With Models Based on the Information About Tillage Practises and Soil Parameters

Estimating Soil Surface Roughness With Models Based on the Information About Tillage Practises and Soil Parameters

Automated control complexes of the tillage units operation

Rotary Ripper: A Possible Solution to Increase the Efficiency of Tillage Operations

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