Vibration Shapes Identification Applying Eulerian Video Magnification on Coffee Fruits to Study the Selective Harvesting

Cardona, Carlos I.; Tinoco, Héctor A.; Pereira, Daniel A.; Buitrago-Osorio, Jaime; Perdomo-Hurtado, Luis; Hurtado-Hernández, Mateo; Lopez-Guzman, Juliana

doi:10.1109/me49197.2020.9286641

Cited by 5 publications

(4 citation statements)

References 21 publications

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“…Three specific frequencies, 40, 42, and 45 Hz, were selected based on prior vibration analysis of Coffea arabica L. var Castillo coffee beans. These frequencies were chosen since they corresponded to mechanical resonances observed in the beans, suggesting that vibrations induced at these frequencies would be particularly effective in generating force [23,24]. By examining force generation at these frequencies, this study aimed to determine the most effective frequency range for maximizing impact force on the target structure.…”

Section: Experimental Evaluation Of the Impact Forcementioning

confidence: 99%

Optimizing Harvesting Efficiency: Development and Assessment of a Pneumatic Air Jet Excitation Nozzle for Delicate Biostructures in Food Processing

Cardona,

Tinoco,

Perdomo-Hurtado

et al. 2024

Foods

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This study presents a new pneumatic air jet excitation nozzle, specifically designed for food processing applications. The device, which uses compressed air equipment and a precision solenoid valve, controls air discharge through a parametric air jet nozzle. Tests showed that the device could achieve shooting frequencies in the 40–45 Hz range, with operational pressures between 5 and 7 bar. A sensor system was used to measure the force generated by the device at different frequencies and pressures. Using the Design of Experiments (DOE) methodology, we identified optimal cavity designs for 5 and 6 bar pressures. These designs outperformed others in generating uniform force and maintaining consistent vibration voltage behavior. This highlights the efficacy of our approach in enhancing device performance under different conditions. The device’s practical application in food processing was demonstrated, particularly in delicate tasks such as the selective harvesting of sensitive crops like coffee fruits. The precise vibrations generated by the device could potentially enhance harvesting efficiency while significantly reducing mechanical damage to plants. The results position the device as a compelling proof of concept, offering an alternative method for exciting biostructures in food processing. This device opens up new possibilities in agricultural and biological fields, providing a non-intrusive and practical approach to manipulating and interacting with delicate, contactless structures, with a specific focus on improving food processing efficiency and quality.

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Section: Experimental Evaluation Of the Impact Forcementioning

confidence: 99%

Optimizing Harvesting Efficiency: Development and Assessment of a Pneumatic Air Jet Excitation Nozzle for Delicate Biostructures in Food Processing

Cardona,

Tinoco,

Perdomo-Hurtado

et al. 2024

Foods

Self Cite

View full text Add to dashboard Cite

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“…Discrete frequency values have been applied for coffee Arabica compared with the dynamic, flexible body model [28]. Improving the frequency drag span could reveal hidden significant differences in vibrational frequencies between ripening stages [29].…”

Section: Introductionmentioning

confidence: 99%

“…Recent works have applied low and high-frequencies and video magnification analysis for colorimetric characterized coffee ripening stages [29]. However, the coffee timefrequency signals present noise and abrupt changes that hinder the frequency characterization [30].…”

Section: Introductionmentioning

confidence: 99%

“…Specific vibrations that transmit maximum oscillations in the fruit-peduncle substructure could promote the ripe fruit detachment [15]. It is crucial to highlight that a slight change in frequency promotes ripe fruit detachment instead of unripe [29]. A robust vibrational analysis might characterize each ripening stage employing a complete frequency drag.…”

Section: Introductionmentioning

confidence: 99%

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Vibrations Analysis of the Fruit-Pedicel System of Coffea arabica var. Castillo Using Time–Frequency and Wavelets Techniques

et al. 2021

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Colombian coffee production is well-known, and selective manual harvesting plays a vital task in guaranteeing high ripe coffee fruit rates in this process, leading to its known worldwide aroma and flavor. To maintain this quality approach, selective harvesting methods based on mechanical vibrations are a promising alternative for developing technologies that could accomplish the challenging Colombian coffee production context. In this study, a vibrations analysis in coffee fruits at three ripening stages was carried out to evaluate the dynamic behavior at two frequency windows: 10 to 100 Hz and 100 to 1000 Hz. Two groups of fruits previously classified in the CIELab color space were chosen for the vibration test study samples. Time and frequency signals were characterized via FFT (fast Fourier transform), and bump wavelets were determined to obtain the frequency–time magnitude scalograms. The measurements were obtained in three degrees of freedom over the fruits: one for measuring the input force (computed in voltage way) and the other two measured by the velocity. The results revealed frequency ranges with specific resonant peaks between 24 and 45 Hz, and close to 700 Hz, where the ripe fruits presented higher magnitudes in the calculated parameters. FFT of the velocity and scaled mechanical impedance were used to estimate these frequency ranges. This work is an important step to identify a “vibrational fingerprint” of each Coffea arabica var. Castillo fruit-ripening stage. However, we consider that more experiments should be performed to reconstruct the modal shape in each resonance. In future studies, fatigue analysis could show which are the most effective frequency ranges to detach the ripe fruits from the perspective of a real selective coffee-harvesting scenario.

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HDMFRTDB: Design of a High-Efficiency Deep Learning Classification Model for Fruit Ripeness-Type Differentiation Via Bioinspired Optimization

Said

Joshi

2023

Lecture Notes in Networks and Systems

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Vibration Shapes Identification Applying Eulerian Video Magnification on Coffee Fruits to Study the Selective Harvesting

Cited by 5 publications

References 21 publications

Optimizing Harvesting Efficiency: Development and Assessment of a Pneumatic Air Jet Excitation Nozzle for Delicate Biostructures in Food Processing

Optimizing Harvesting Efficiency: Development and Assessment of a Pneumatic Air Jet Excitation Nozzle for Delicate Biostructures in Food Processing

Vibrations Analysis of the Fruit-Pedicel System of Coffea arabica var. Castillo Using Time–Frequency and Wavelets Techniques

HDMFRTDB: Design of a High-Efficiency Deep Learning Classification Model for Fruit Ripeness-Type Differentiation Via Bioinspired Optimization

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