Development of an electronic profilometer to measure mobilization variables in soil harrowing

Keywords: soil mobilization, blistering, profilometry, soil roughness

Abstract

Aim of study: This experiment's objective is to develop an automatic data acquisition system for profilometry, evaluating four harrowing speeds.

Area of study: Federal University of Parana, Curitiba, Brazil.

Material and methods: We experimented at the laboratory using a completely randomized design, comparing the data of modified roughness, raised and mobilized area, blistering, and thickness. These were acquired with traditional and electronic profilometers in seven replications. We executed the field test in lines, using a completely randomized design. The profilometers were in the plots and the targeted speeds in the subplots. We submitted the data for analysis of variance and when significant, to Tukey's test and regression analysis.

Main results: Laboratory testing showed no significant difference in the parameters of modified roughness, elevated and mobilized area, blistering, and thickness, denoting the phase validation that indicates applicability in the field. The field testing presented superior results for the electronic profilometer in elevated and mobilized areas and soil layer thickness. That is due to the absence of interference in the measurements that occur in the conventional profilometer caused by the insertion of the rods in the soil.

Research highlights: The increase in the mechanized set speed provided the reduction of the elevated area and soil blistering caused by the rise in disc rotation and consequent deviation of the soil particles.

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References

Ahmadi I, 2018. A draught force estimator for disc harrow using the laws of classical soil mechanics. Biosyst Eng 171: 52-62. https://doi.org/10.1016/j.biosystemseng.2018.04.008

American Society of Agricultural Biological Engineers, 2011. ASABE 496.3: Agricultural machinery management data. St. Joseph, MI, USA.

Bögel T, Osinenko P, Herlitzius T, 2016. Assessment of soil roughness after tillage using spectral analysis. Soil Till Res 159: 73-82. https://doi.org/10.1016/j.still.2016.02.004

Borges DF, Gonçalves FAR, Junior JDG, Souza CFE, Carvalho Filho A, 2019. Perfilômetro de barra corrediça: avaliação de metodologia para análise da rugosidade do solo. Energia na Agricultura 34: 471-478. https://doi.org/10.17224/EnergAgric.2019v34n4p471-478

Carvalho Filho A, Centurion JF, Silva RPD, Furlani CE, Carvalho LC, 2007. Soil tillage methods: alterations in the roughness of the soil. Engenharia Agrícola 27: 229-237. https://doi.org/10.1590/S0100-69162007000100017

Deutsches Institut für Normung, 1986. DIN 70020: Automotive engineering, maximum speed, acceleration, and other terms, definitions, and tests. Berlin.

Ewetumo T, Egbedele IA, Joseph-Ojo CI, Fagbamiye-Akinwale OM, 2019. Development of low-cost soil tillage profilometer. Icon Res Eng J 3: 365-371.

Fanigliulo R, Antonucci F, Figorilli S, Pochi D, Pallottino F, Fornaciari L, et al., 2020. Light drone-based application to assess soil tillage quality parameters. Sensors 20: 728. https://doi.org/10.3390/s20030728

Feng Q, An C, Chen Z, Wang Z, 2020. Can deep tillage enhance carbon sequestration in soils? A meta-analysis towards GHG mitigation and sustainable agricultural management. Renew Sust Energ Rev 133: 110293. https://doi.org/10.1016/j.rser.2020.110293

Ferenčík M, Kardoš M, Allman M, Slatkovská Z, 2019. Detection of forest road damage using mobile laser profilometry. Comput Electr Agr 166: 105010. https://doi.org/10.1016/j.compag.2019.105010

Foldager FF, Pedersen JM, Haubro Skov E, Evgrafova A, Green O, 2019. Lidar-based 3d scans of soil surfaces and furrows in two soil types. Sensors 19: 661-613. https://doi.org/10.3390/s19030661

Francetto TR, Alonço ADS, Becker RS, Scherer VP, Bellé MP, 2021. Effect of the distance between the cutting disc and furrow openers employed in row crop planting on soil mobilization. Engenharia Agrícola 41: 148-160. https://doi.org/10.1590/1809-4430-eng.agric.v41n2p148-160/2021

Gilliot JM, Vaudour E, Michelin J, 2017. Soil surface roughness measurement: A new fully automatic photogrammetric approach applied to agricultural bare fields. Comput Electr Agr 134: 63-78. https://doi.org/10.1016/j.compag.2017.01.010

Kogut Z, Sergiel L, Żurek G, 2016. The effect of the disc setup angles and working depth on disc harrow working resistance. Biosyst Eng 151: 328-337. https://doi.org/10.1016/j.biosystemseng.2016.10.004

Kool D, Tong B, Tian Z, Heitman JL, Sauer TJ, Horton R, 2019. Soil water retention and hydraulic conductivity dynamics following tillage. Soil Till Res 193: 95-100. https://doi.org/10.1016/j.still.2019.05.020

Laskoski M, Pereira TE, Kmiecik LL, Bueno LDSR, Jasper SP, 2017. Desenvolvimento, construção e validação do perfilômetro a laser. REVENG 25: 132-138. https://doi.org/10.13083/reveng.v25i2.752

Martinez‐Agirre A, Álvarez‐Mozos J, Milenković M, Pfeifer N, Giménez R, Valle JM, Rodríguez Á, 2020. Evaluation of terrestrial laser scanner and structure from motion photogrammetry techniques for quantifying soil surface roughness parameters over agricultural soils. Earth Surf Proc Landforms 45: 605-621. https://doi.org/10.1002/esp.4758

Miller A, 1997. Strip-plot configurations of fractional factorials. Technometrics 39: 2-153. https://doi.org/10.1080/00401706.1997.10485080

Polyakov V, Nearing M, 2019. A simple automated laser profile meter. Soil Sci Soc Am J 83: 327-331. https://doi.org/10.2136/sssaj2018.10.0378

Tian H, Wang T, Liu Y, Qiao X, Li Y, 2020. Computer vision technology in agricultural automation-A review. Inform Process Agr 7: 1-19. https://doi.org/10.1016/j.inpa.2019.09.006

Uddin MJ, Moheuddin MM, Kowsher M, 2019. A new study of trapezoidal, simpson's 1/3 and simpson's 3/8 rules of numerical integral problems. Appl Math Sci 6: 1-14. https://doi.org/10.5121/mathsj.2019.6401

Vasil'ev SA, Alekseev VА, Vasil'ev MA, Vasil'ev AA, 2021. Features of using a ground laser profiler to assess the quality of soil cultivation on agricultural slope landscapes. Agr Eng 16-23.

Published
2023-03-22
How to Cite
Zimmermann, G. G., Jasper, S. P., Savi, D., Ferraz, R. S., & Gracietti, E. A. (2023). Development of an electronic profilometer to measure mobilization variables in soil harrowing. Spanish Journal of Agricultural Research, 21(2), e0204. https://doi.org/10.5424/sjar/2023212-19811
Section
Agricultural engineering