Vibration Shapes Identification Applying Eulerian Video Magnification on Coffee Fruits to Study the Selective Harvesting
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68081723%3A_____%2F20%3A00603734" target="_blank" >RIV/68081723:_____/20:00603734 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/me49197.2020.9286641" target="_blank" >http://dx.doi.org/10.1109/me49197.2020.9286641</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/me49197.2020.9286641" target="_blank" >10.1109/me49197.2020.9286641</a>
Alternative languages
Result language
angličtina
Original language name
Vibration Shapes Identification Applying Eulerian Video Magnification on Coffee Fruits to Study the Selective Harvesting
Original language description
In the last few years, Colombian coffee production has decreased by different economic factors related to the increment of costs in manual selective harvest operations. Consequently, an interest has arisen for studying selective harvesting methods based on mechanical vibrations in seeking for an alternative technology. In this sense, it is mainly essential to understand the dynamic behavior of the coffee fruits at different ripening stages. In this study, an experiment was proposed to observe the vibration shapes of coffee fruits (Coffea arabica var. Castillo) in defined frequency intervals. The ripening stages were categorized by a strategy based on color measurements in the CIELab space. Four ripening stages were determined from color data taken of 84 fruits, which allowed the development of the dynamic experiments over classified fruits. The dynamic excitation was applied to the coffee fruits between 0-1000 Hz in which ripe fruits evidenced higher vibration amplitudes in specific frequency intervals. These motions cannot be visualized from a normal video-camera (60 Fps). Therefore, a high-speed camera (Chronos 1.4) was used to record these during harmonic excitation. Eulerian video magnification technique was applied to the video-based measurements to visualize the amplified vibration shapes. The magnified motions were contrasted with vibrometry measurements and a piezo sensor attached to the fruit pedicel. Results show that the ripe fruit can vibrate with higher amplitudes in comparison with the other ripening stages, this information could be used to harvest selectively only ripe fruits.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20302 - Applied mechanics
Result continuities
Project
—
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
PROCEEDINGS OF THE 2020 19TH INTERNATIONAL CONFERENCE ON MECHATRONICS MECHATRONIKA (ME)
ISBN
978-1-7281-5602-6
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
242-249
Publisher name
IEEE
Place of publication
New York
Event location
ELECTR NETWORK
Event date
Dec 2, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000662155700043