Vibrations Levels Assessment of a Robotic Intra-Row Weeder Using Low-Cost Data Acquisition System

dc.contributor.author Luecke, Greg
dc.contributor.author Villibor, Geice
dc.contributor.author Steward, Brian
dc.contributor.author Tang, Lie
dc.contributor.author Luecke, Greg
dc.contributor.author Queiroz, Daniel
dc.contributor.author Tang, Lie
dc.contributor.author Kshetri, Safal
dc.contributor.department Mechanical Engineering
dc.contributor.department Agricultural and Biosystems Engineering
dc.date 2018-05-25T16:33:53.000
dc.date.accessioned 2020-06-29T22:35:00Z
dc.date.available 2020-06-29T22:35:00Z
dc.date.copyright Sun Jan 01 00:00:00 UTC 2017
dc.date.embargo 2017-08-09
dc.date.issued 2017-07-01
dc.description.abstract <p>Automated weeding is a way to increase efficiency in the control of invasive plants. Soil characteristics can influence the performance of weeder mechanisms. The objective of this work was to determine the vibrations levels of a robotic intra-row weeder mechanism for different operating conditions and provide information to correlate with soil conditions. The data acquisition system was composed of a single-board computer and a triaxial MEMS accelerometer. The computer was programmed in C++ to acquire vibration measurements. The accelerometer was mounted to the bearing housing of the rotary tine shaft. Vibrations of the weeder mechanism were first measured without soil contact for different angular velocities of the rotary tine disk. Then, vibrations were monitored in different soils (dry and moist loam soil and sand) for three angular velocities of rotary tines (25, 50 and 100 rev/min) and two tine depths (25 and 50 mm). RMS accelerations and the frequency spectrum were used to evaluate the vibrations levels. Moist loam soil and sand had the highest and lowest increases in accelerations, respectively. The analysis showed it is possible to correlate vibrational characteristics with soil conditions that may exist during intra-row weeding. In addition, mechanical vibrations in an intra-row weeder can be monitored using a low-cost and user-friendly system.</p>
dc.description.comments <p>This proceeding is published as Villibor, Geice Paula, Brian L. Steward, Greg R. Luecke, Daniel M. Queiroz, Lie Tang, and Safal Kshetri. "Vibrations Levels Assessment of a Robotic Intra-Row Weeder Using Low-Cost Data Acquisition System." In <em>2017 ASABE Annual International Meeting</em>. 2017. Paper No. 1700652. (DOI: <a href="http://dx.doi.org/10.13031/aim.201700652" target="_blank">10.13031/aim.201700652</a>). </p>
dc.format.mimetype application/pdf
dc.identifier archive/lib.dr.iastate.edu/abe_eng_conf/516/
dc.identifier.articleid 1517
dc.identifier.contextkey 10574557
dc.identifier.s3bucket isulib-bepress-aws-west
dc.identifier.submissionpath abe_eng_conf/516
dc.identifier.uri https://dr.lib.iastate.edu/handle/20.500.12876/556
dc.language.iso en
dc.source.bitstream archive/lib.dr.iastate.edu/abe_eng_conf/516/2017_Steward_VibrationsLevels.pdf|||Sat Jan 15 00:44:57 UTC 2022
dc.source.uri 10.13031/aim.201700652
dc.subject.disciplines Agriculture
dc.subject.disciplines Bioresource and Agricultural Engineering
dc.subject.disciplines Mechanical Engineering
dc.subject.keywords mechanical vibrations
dc.subject.keywords MEMS accelerometers
dc.subject.keywords mechanical weeding
dc.subject.keywords single board computer
dc.subject.keywords soil conditions
dc.title Vibrations Levels Assessment of a Robotic Intra-Row Weeder Using Low-Cost Data Acquisition System
dc.type article
dc.type.genre conference
dspace.entity.type Publication
relation.isAuthorOfPublication ebb05830-1f7b-4181-9c5a-dab86c12f3ea
relation.isAuthorOfPublication e60e10a5-8712-462a-be4b-f486a3461aea
relation.isOrgUnitOfPublication 6d38ab0f-8cc2-4ad3-90b1-67a60c5a6f59
relation.isOrgUnitOfPublication 8eb24241-0d92-4baf-ae75-08f716d30801
File
Original bundle
Now showing 1 - 1 of 1
Name:
2017_Steward_VibrationsLevels.pdf
Size:
275.08 KB
Format:
Adobe Portable Document Format
Description: