https://doi.org/10.4081/jae.2022.1245
Simulation study and field experiments on the optimal canopy shaking action for harvesting Camellia oleifera fruits
Published: 30 June 2022
Abstract Views: 1003
PDF: 514
HTML: 29
HTML: 29
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
With the increasing cultivation scale of Camellia oleifera in China, the demand for mechanical harvesting machinery is very urgent. Inefficient fruit harvesting has become a bottleneck hindering the development of the C. oleifera industry. In order to achieve high fruit harvesting percentage and low detachment percentage of the flower buds, a canopy shaking mechanism is proposed for massively harvesting C. oleifera fruits which applies the reciprocating linear motion of multiple beating-bar arrays to the tree canopy. The multiple beating-bar arrays driven by the eccentric disk can generate comb-brushing effects on the tree canopy. Three kinds of C. oleifera tree architecture were modelled, and their dynamics were simulated by finite element analysis. Their modal analysis results show that the low-order natural frequencies of the C. oleifera trees with different canopy shapes are very close. According to harmonic response analysis, the low-frequency excitation is used to harvest C. oleifera fruit. The orthogonal experiments were carried out on the canopy shaker prototype with the motor speed, reciprocating stroke, and duration of vibration as the influencing factors, and the fruit harvesting percentage and the detachment percentage of the flower buds as the evaluation indices. The results show that the same optimal parameter combination can be used for three kinds of C. oleifera tree architecture, in which the motor speed is 360 r/min, the reciprocating stroke is 80 mm, and the duration of the vibration is 8 s. The average fruit harvesting percentage is 72.3%, and the average detachment percentage of the flower buds is 13.9%.
Aiello G., Vallone M., Catania P. 2019. Optimising the efficiency of olive harvesting considering operator safety. Biosyst. Eng. 185:15-24.
Bentaher H., Haddar M., Fakhfakh T. 2013. Finite elements modeling of olive tree mechanical harvesting using different shakers. Trees-Struct. Funct. 27:1537-45.
Caprara C., Pezzi F. 2011. Measuring the stresses transmitted during mechanical grape harvesting. Biosyst. Eng. 110:97-105.
Castro-Garcia S., Aragon-Rodriguez F., Sola-Guirado R.R., Serrano A.J., Soria-Olivas E., Gil-Ribes J.A. 2019. Vibration monitoring of the mechanical harvesting of citrus to improve fruit detachment efficiency. Sensors 19:1760.
Castro-Garcia S., Castillo-Ruiz F.J., Jimenez-Jimenez F., Gil-Ribes J.A., Blanco-Roldan G.L. 2015. Suitability of Spanish ‘Manzanilla’ table olive orchards for trunk shaker harvesting. Biosyst. Eng. 129:388-95.
Castro-Garcia S., Rosa U.A., Gliever C.J., Smith D., Burns J.K., Krueger W.H., Ferguson L., Glozer K. 2009. Video evaluation of table olive damage during harvest with a canopy shaker. HortTechnol. 19:260-6.
Castro-Garcia S., Sola-Guirado R.R., Gil-Ribes J.A. 2018. Vibration analysis of the fruit detachment process in late-season ‘Valencia’ orange with canopy shaker technology. Biosyst. Eng. 170:130-7.
Du X., Jiang F., Li S., Xu N., Li D., Wu C. 2019. Design and experiment of vibratory harvesting mechanism for chinese hickory nuts based on orthogonal eccentric masses. Comput. Electron. Agric. 156:178-86.
Feng G., Rao H., Xu P., Liu M. 2014. Experimental study on the biomechanical properties of camellia fruit and camellia flower buds. J. Agric. Mech. Res. 36:187-91.
Feng G., Rao H., Xu P., Liu M. 2015. Research status on picking equipment and technology of camellia fruit. J. Chin. Agric. Mech. 36:125-7.
Fu W., Cui J., Zhang H., Kan Z., Wang L., Li J. 2016. The research and development of mechanization harvesting technology for forest fruit. J. Agric. Mech. Res. 38:264-8.
Fu W., Zhang Z., Ding K., Cao W., Kan Z., Pan J., Liu Y. 2018. Design and test of 4ZZ-4A2 full-hydraulic self-propelled jujube harvester. Int. J. Agric. Biol. Eng. 11:86-93.
Hafezalkotob A., Hami-Dindar A., Rabie N., Hafezalkotob A. 2018. A decision support system for agricultural machines and equipment selection: a case study on olive harvester machines. Comput. Electron. Agric. 148:207-16.
Hoshyarmanesh H., Dastgerdi H.R., Ghodsi M., Khandan R., Zareinia K. 2017. Numerical and experimental vibration analysis of olive tree for optimal mechanized harvesting efficiency and productivity. Comput. Electron. Agric. 132:34-48.
Lavee S., Haskal A., Avidan B. 2012. The effect of planting distances and tree shape on yield and harvest efficiency of cv. Manzanillo table olives. Sci. Hortic. 142:166-73.
Liu J., Wu L., Chen D., Yu Z., Wei C. 2018. Development of a soil quality index for Camellia oleifera forestland yield under three different parent materials in Southern China. Soil Tillage Res. 176:45-50.
Luo S.Z., Hu X.F., Pan L.H., Zheng Z., Zhao Y.Y., Cao L.L., Jiang S.T. 2019. Preparation of camellia oil-based W/O emulsions stabilized by tea polyphenol palmitate: structuring camellia oil as a potential solid fat replacer. Food Chem. 276:209-17.
Ortiz C., Torregrosa A. 2013. Determining adequate vibration frequency, amplitude, and time for mechanical harvesting of fresh mandarins. Trans. ASABE 56:15-22.
Peng J., Xie H., Feng Y., Fu L., Sun S., Cui Y. 2017. Simulation study of vibratory harvesting of Chinese winter jujube (Zizyphus jujuba Mill. cv. Dongzao). Comput. Electron. Agric. 143:57-65.
Pu Y., Toudeshki A., Ehsani R., Yang F., Abdulridha J. 2018. Selection and experimental evaluation of shaking rods of canopy shaker to reduce tree damage for citrus mechanical harvesting. Int. J. Agric. Biol. Eng. 11:48-54.
Rao H., Huang D., Wang Y., Chen B., Liu M. 2019. Design and experiment of hydraulic-driven camellia fruit picking machine. Trans. Chin. Soc. Agric. Mach. 50:133-47.
Sola-Guirado R.R., Blanco-Roldan G.L., Castro-Garcia S., Castillo-Ruiz F.J., Gil-Ribes J.A. 2018. Innovative circular path harvester for mechanical harvesting of irregular and large-canopy olive trees. Int. J. Agric. Biol. Eng. 11:86-93.
Sola-Guirado R.R., Jimenez-Jimenez F., Blanco-Roldan G.L., Castro-Garcia S., Castillo-Ruiz F.J., Gil-Ribes J.A. 2016. Vibration parameters assessment to develop a continuous lateral canopy shaker for mechanical harvesting of traditional olive trees. Span. J. Agric. Res. 14: e0204.
Song C., Kong H., Du Y., Chen X. 2019. Research on regional advantage changes of Camellia oleifera Abel production in China. Iss. For. Econ. 39:105-12.
Wang F., Ding Y., Xie W., Yang D. 2019. Design and experimental study of a separating machine for seed and peel of Camellia oleifera fruit. IFAC PapersOnLine 52:87-91.
Zhou J., He L., Zhang Q., Karkee M. 2014. Effect of excitation position of a handheld shaker on fruit removal efficiency and damage in mechanical harvesting of sweet cherry. Biosyst. Eng. 125:36-44.
How to Cite
Du, X. (2022) “Simulation study and field experiments on the optimal canopy shaking action for harvesting <em>Camellia oleifera</em> fruits”, Journal of Agricultural Engineering, 53(3). doi: 10.4081/jae.2022.1245.
Copyright (c) 2022 the Author(s)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
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
- Fuhao Zhu, Jin Chen, Zhuohuai Guan, Yahui Zhu, Hao Shi, Kai Cheng, Development of a combined harvester navigation control system based on visual simultaneous localization and mapping-inertial guidance fusion , Journal of Agricultural Engineering: Vol. 55 No. 3 (2024)
- Alina Evelyn Badillo-Márquez, Isaí Pardo-Escandón, Alberto Alfonso Aguilar-Lasserre, Constantino Gerardo Moras-Sánchez, Rita Flores-Asis, Intelligent system based on a satellite image detection algorithm and a fuzzy model for evaluating sugarcane crop quality by predicting uncertain climatic parameters , Journal of Agricultural Engineering: Vol. 55 No. 4 (2024)
- Angela Calvo, Roberto Deboli, Christian Preti, Antonino De Maria, Daily exposure to hand arm vibration by different electric olive beaters , Journal of Agricultural Engineering: Vol. 45 No. 3 (2014)
- Philip Pichler, Martin Leitner, Florian Grün, Christoph Guster, Experimental determination of highly dynamic forces during wood trunk comminution with a drum chipper , Journal of Agricultural Engineering: Vol. 49 No. 2 (2018)
- Saddam Hussain, Decong Zheng , Haiyan Song, Muhammad Usman Farid, Abdul Ghafoor, Xinyi Ba, Hao Wang, Wenjun Wang, Alam Sher, Salah Jumaa Alshamali, Computational fluid dynamics simulation and optimisation of the threshing unit of buckwheat thresher for effective cleaning of the cleaning chamber , Journal of Agricultural Engineering: Vol. 53 No. 1 (2022)
- Thanaporn Singhpoo, Khwantri Saengprachatanarug, Seree Wongpichet, Jetsada Posom, Kanda Runapongsa Saikaew, Cassava stalk detection for a cassava harvesting robot based on YOLO v4 and Mask R-CNN , Journal of Agricultural Engineering: Vol. 54 No. 2 (2023)
- Ye-jin Seo, Eunmi Hong, Jong-hyuk Lee, Young-joon Jeong, Byung-hun Seo, Soojin Jun, Seung-Jae Lee, Won Choi, Comparative study of coating agents for prevention of fine-dust-induced light transmittance reduction in greenhouse covering materials , Journal of Agricultural Engineering: Vol. 53 No. 2 (2022)
- Diwei Wu, Shaohua Zeng, Shuai Wang, Yanan Chen, Yidan Xu, Zanthoxylum infructescence detection based on adaptive density clustering , Journal of Agricultural Engineering: Vol. 55 No. 2 (2024)
- Wei Wang, Yuanjuan Gong, Xuewei Bai, Rui Tan, Real-time straw moisture content detection system for mobile straw granulator , Journal of Agricultural Engineering: Vol. 55 No. 2 (2024)
- Dhanashree Barbole, Parul M. Jadhav, Comparative analysis of 2D and 3D vineyard yield prediction system using artificial intelligence , Journal of Agricultural Engineering: Vol. 55 No. 1 (2024)
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.
