https://doi.org/10.4081/jae.2020.1057
Improving olive mechanical harvesting using appropriate natural frequency
Published: 29 September 2020
Abstract Views: 1063
PDF: 656
HTML: 624
HTML: 624
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
- Paolo Barge, Paolo Gay, Valentina Merlino, Cristina Tortia, UHF-RFID solutions for logistics units management in the food supply chain , Journal of Agricultural Engineering: Vol. 44 No. s2 (2013): Proceedings of the 10th Conference of the Italian Society of Agricultural Engineering
- Antonio Comparetti, Pierluigi Febo, Carlo Greco, Santo Orlando, Kestutis Navickas, Kestutis Venslauskas, Sicilian potential biogas production , Journal of Agricultural Engineering: Vol. 44 No. s2 (2013): Proceedings of the 10th Conference of the Italian Society of Agricultural Engineering
- Lucia Recchia, Paolo Boncinelli, Enrico Cini, Alternative method for vegetables cultivation in Benin , Journal of Agricultural Engineering: Vol. 44 No. s2 (2013): Proceedings of the 10th Conference of the Italian Society of Agricultural Engineering
- Daniele Pochi, Roberto Fanigliulo, Mauro Pagano, Renato Grilli, Marco Fedrizzi, Laura Fornaciari, Dynamic-energetic balance of agricultural tractors: active systems for the measurement of the power requirements in static tests and under field conditions , Journal of Agricultural Engineering: Vol. 44 No. s2 (2013): Proceedings of the 10th Conference of the Italian Society of Agricultural Engineering
- Chantal Erbino, Alessandro Toccolini, Ilda Vagge, Paolo Stefano Ferrario, Guidelines for the design of a healing garden for the rehabilitation of psychiatric patients , Journal of Agricultural Engineering: Vol. 46 No. 2 (2015)
- C.R. Fichera, R. Gianoglio, L. Laudari, G. Modica, Application, validation and comparison in different geographical contexts of an integrated model for the design of ecological networks , Journal of Agricultural Engineering: Vol. 44 No. s2 (2013): Proceedings of the 10th Conference of the Italian Society of Agricultural Engineering
- Jiangui Zhao, Tingyu Zhu, Zhichao Qiu, Tao Li, Guoliang Wang, Zhiwei Li, Huiling Du, Hyperspectral prediction of pigment content in tomato leaves based on logistic-optimized sparrow search algorithm and back propagation neural network , Journal of Agricultural Engineering: Vol. 54 No. 4 (2023)
- L. Picco, R. Rainato, L. Mao, F. Delai, A. Tonon, D. Ravazzolo, M.A. Lenzi, Characterization of fluvial islands along three different gravel-bed rivers of North-Eastern Italy , Journal of Agricultural Engineering: Vol. 44 No. s2 (2013): Proceedings of the 10th Conference of the Italian Society of Agricultural Engineering
- Qinchao Xu, Shanjun Li, Haibing Pan, Qian Yang, Jian Zhang, Xuedong Lu, Cheng Shan, Design and operational parameters optimisation of a citrus substrate filling and transporting machine , Journal of Agricultural Engineering: Vol. 54 No. 3 (2023)
- D. Ricauda Aimonino, P. Gay, L. Comba, Application of Computer Vision for quality control in frozen mixed berries production: colour calibration issues , Journal of Agricultural Engineering: Vol. 44 No. s2 (2013): Proceedings of the 10th Conference of the Italian Society of Agricultural Engineering
<< < 23 24 25 26 27 28 29 30 31 32 > >>
You may also start an advanced similarity search for this article.
