https://doi.org/10.4081/jae.2020.1057
Improving olive mechanical harvesting using appropriate natural frequency
Published: 29 September 2020
Abstract Views: 1063
PDF: 666
HTML: 639
HTML: 639
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.
Authors
The good performance of olive mechanical harvesting by shaking depends on the suitable values of limb vibrator operating parameters (frequency and amplitude). Mathematical models of a single degree of freedom (S.D.F.M) and two degrees of freedom (T.D.F.M) were used to estimate the natural frequency (FN) of olive fruit stem system. The results from these models indicated that the FN values were 33.9, 31.9, and 28.0 Hz for the full mature stage, half-ripe olive, and full-ripe olive respectively. Branch vibrator was operated at three levels of frequency 25, 30 and 35 Hz and 3 levels of amplitude 25, 30 and 35 mm at a vibration time of 10 s. Measurements covered the fruit removal percentage (FRP) and degree of full-ripe fruit selectivity (DS). The results showed that the maximum FRP value, 90.6%, was achieved at a frequency of 35 Hz and amplitude of 25 mm while the maximum DS value, 78.58%, was obtained at 25 Hz frequency and 25 mm amplitude.
Aiello G, Vallone M, Catania P, 2019. Optimising the efficiency of olive harvesting considering operator safety. Biosystems Engineering. Volume 185, 15-24.
DOI: https://doi.org/10.1016/j.biosystemseng.2019.02.016
Bacenetti J, De Luca AI, 2018. Harvesting system sustainability in Mediterranean olive cultivation. Sci. Total. Environ. 625:1446-58.
DOI: https://doi.org/10.1016/j.scitotenv.2018.01.005
Castro-GarcÃa S, Castillo-Ruiz FJ, Sola-Guirado RR, Jiménez-Jiménez F, Blanco-Roldán GL, AgüeraVega J, Gil-Ribes JA, 2014. Table olive response to harvesting by trunk shaker, International Conference on Agricultural Engineering, ref. C0662, 6-10 July, Zurich, Switzerland.
Cicek G, 2011. Determination of harvesting costs and cost analysis for different olive harvesting methods. Journal of Food, Agriculture & Environment Vol.9 (3&4): 201- 204.
Ciro VHJ, 2001. Coffee harvesting I: Determination of the natural frequencies of the fruit stem system in coffee trees. Applied Engineering in Agriculture of the ASAE 17(4): 475– 479.
DOI: https://doi.org/10.13031/2013.6464
Ghonimy MI, 2006. Prediction of the suitable amplitude of shaking unit for fruit harvesting. Misr J. Ag. Eng., 23(1): 1-18.
Ghonimy MI, Alzoheiry AM, Abd El Rahman EN, 2019. Citrus harvesting by vibrating action. Misr J. Ag. Eng., 36(1): 25-36.
DOI: https://doi.org/10.21608/mjae.2019.94438
Hoshyarmanesh H, Dastgerdi HR, Ghodsi M, Khandan R, Zareinia K, 2017. Numerical and experimental vibration analysis of olive tree for optimal mechanized harvesting efficiency and productivity. Computers and Electronics in Agriculture, 132, 34-48.â€
DOI: https://doi.org/10.1016/j.compag.2016.11.014
Leone A, Romaniello R, Tamborrino A, Catalano P, Peri G, 2015. Identification of vibration frequency, acceleration, and duration for efficient olive harvesting using a trunk shaker. Transactions of the ASABE, 58(1):1–8.
Martinez A, 1977. Estudio teórico de la dinámica del sistema fruto pedúnculo. Revista Ciencias Técnicas. Serie construcción de maquinaria. Instituto Superior Politécnico José Antonio EcheverrÃa, Habana, Cuba. Octubre. 14-16 pp.
Mayans Céspedes PR, Cansteñs L, de Jesús G, Romanchik Kriuchkova E, Pérez Sobrevilla L, 2016. Modelación matemática del sistema fruto-pedicelo-pedúnculo del mango Manila (Mathematical modeling system of the fruit-pedicel-peduncle Manila mango). Revista mexicana de ciencias agrÃcolas, 7(4), 781-791
DOI: https://doi.org/10.29312/remexca.v7i4.253
Öztekin YB, Güngör B, 2020. Determining impact-bruising thresholds of peaches using electronic fruit. Scientia Horticulturae, 262, 109046.â€
DOI: https://doi.org/10.1016/j.scienta.2019.109046
Tinoco HA, 2017. Modeling elastic and geometric properties of Coffea arabica L. var. Colombia fruits by an experimental-numerical approach. International Journal of Fruit Science, 17(2), 159-174.
DOI: https://doi.org/10.1080/15538362.2016.1270249
Tornabene F, Fantuzzi N, Bacciocchi M, 2017. Mechanical behaviour of composite Cosserat solids in elastic problems with holes and discontinuities. Composite Structures, 179, 468-481.â€
DOI: https://doi.org/10.1016/j.compstruct.2017.07.087
Villibor GP, Santos FL, de Queiroz DM, Júnior JKK, de Carvalho Pinto FDA, 2016. Determination of modal properties of the coffee fruit-stem system using high-speed digital video and digital image processing. Acta Scientiarum. Technology, 38(1), 41-48.†Doi: 10.4025/actascitechnol.v38i1.27344.
DOI: https://doi.org/10.4025/actascitechnol.v38i1.27344
Zipori I, Dag A, Tugendhaft Y, Birger R, 2014. Mechanical Harvesting of Table Olives: Harvest Efficiency and Fruit Quality, Hortscience, 49(1), 55-58.
DOI: https://doi.org/10.21273/HORTSCI.49.1.55
How to Cite
Alzoheiry, A. (2020) “Improving olive mechanical harvesting using appropriate natural frequency”, Journal of Agricultural Engineering, 51(3), pp. 148–154. doi: 10.4081/jae.2020.1057.
PAGEPress has chosen to apply the Creative Commons Attribution NonCommercial 4.0 International License (CC BY-NC 4.0) to all manuscripts to be published.
Similar Articles
- Simona M.C. Porto, Giulia Castagnolo, Francesca Valenti, Giovanni Cascone, Kernel density estimation analyses based on a low power-global positioning system for monitoring environmental issues of grazing cattle , Journal of Agricultural Engineering: Vol. 53 No. 2 (2022)
- Andrea De Montis, Simone Caschili, Amedeo Ganciu, Antonio Ledda, Filippo Paoli, Federico Puddu, Mario Barra, Strategic environmental assessment implementation of transport and mobility plans. The case of Italian regions and provinces , Journal of Agricultural Engineering: Vol. 47 No. 2 (2016)
- Volodymyr Bulgakov, Hristo Beloev, Ivan Holovach, Vladimir KroÄko, Ladislav Nozdrovicky, Pavol Findura, The most complex theory of the symmetric impact of the vibrating digging working tool on the sugar beet root , Journal of Agricultural Engineering: Vol. 49 No. 4 (2018)
- Stefano Benni, Enrica Santolini, Alberto Barbaresi, Daniele Torreggiani, Patrizia Tassinari, Calibration and comparison of different CFD approaches for airflow analysis in a glass greenhouse , Journal of Agricultural Engineering: Vol. 48 No. 1 (2017)
- Daniele Masseroni, Jasim Uddin, Reece Tyrrell, Iven Mareels, Claudio Gandolfi, Arianna Facchi, Towards a smart automated surface irrigation management in rice-growing areas in Italy , Journal of Agricultural Engineering: Vol. 48 No. 1 (2017)
- Francisco Ayuga, Present and future of the numerical methods in buildings and infrastructures areas of biosystems engineering , Journal of Agricultural Engineering: Vol. 46 No. 1 (2015)
- Timothy Denen Akpenpuun, Qazeem Opeyemi Ogunlowo, Wook-Ho Na, Prabhat Dutta, Anis Rabiu, Misbaudeen Aderemi Adesanya, Mohammadreza Nariman, Ezatullah Zakir, Hyeon Tae Kim, Hyun-Woo Lee, Dynamic neural network modeling of thermal environments of two adjacent single-span greenhouses with different thermal curtain positions , Journal of Agricultural Engineering: Vol. 55 No. 2 (2024)
- Zanbin Zhu, Yubin Li, Shoufu Gong, Design and experiment of Internet-of-Things cooling system in glass greenhouse based on computational fluid dynamics simulation , Journal of Agricultural Engineering: Vol. 54 No. 3 (2023)
- Alvaro Marucci, Danilo Monarca, Massimo Cecchini, Andrea Colantoni, Andrea Cappuccini, Analysis of internal shading degree to a prototype of dynamics photovoltaic greenhouse through simulation software , Journal of Agricultural Engineering: Vol. 46 No. 4 (2015)
- Emanuel Rigon, Johnny Moretto, Riccardo Rainato, Mario Aristide Lenzi, Andrea Zorzi, Evaluation of the morphological quality index in the Cordevole river (Bl, Italy) , Journal of Agricultural Engineering: Vol. 44 No. 3 (2013)
<< < 13 14 15 16 17 18 19 20 21 22 > >>
You may also start an advanced similarity search for this article.
