https://doi.org/10.4081/jae.2024.1597
Design and experiment optimize of the vibration harvesting machine of Lycium barbarum L.
Published: 4 October 2024
Abstract Views: 331
PDF: 189
HTML: 2
HTML: 2
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 primary method for harvesting Lycium barbarum L. (L. barbarum) is manual labor, making it one of the most labor-intensive fruit crops in the Northwest region of China. Due to the decrease of labor supply and the increase of labor cost, the cost of harvesting has become a major hindrance to the development of the L. barbarum industry. Therefore, it is important to achieving mechanized harvesting of L. barbarum. In this study, a vibration harvesting machine was designed. Plackett-Burman experiment was conducted to assess the correlation between the picking rate of ripe fruit and various parameters. It was found that the significant factors were vibration amplitude, vibration frequency, and spacing of the vibrating rods. Based on the response surface methodology (RSM), parameter experiment was conducted to analyze the impact of these factors on picking rate of ripe fruit, picking rate of unripe fruit, and damage rate of ripe fruit. The optimal harvesting parameters were determined to be: vibration amplitude of 44 mm, spacing of the vibrating rods of 24 mm, and vibration frequency of 9Hz. The verification experiment showed that the picking rate of ripe fruit was 86.44%, the picking rate of unripe fruit was 6.81%, and the damage rate of ripe fruit was 5.54%. This study provides a design basis for realizing mechanized harvesting.
Castro-Garcia, S., Sola-Guirado, R., Gil-Ribes, J. 2018. Vibration analysis of the fruit detachment process in late-season ‘valencia’ orange with canopy shaker technology. Biosyst. Eng. 170: 130-137.
DOI: https://doi.org/10.1016/j.biosystemseng.2018.04.007
Cerruto, E., Manetto, G., Schillaci, G. 2012. Vibration produced by hand-held olive electrical harvesters. J. Agric. Eng. 43:e12.
DOI: https://doi.org/10.4081/jae.2012.19
Chen, J., Wang, Y., Liang, D., Xu, W., Chen, Y. 2021a. Design of longitudinal vibratory compliant picking mechanism for berry shrub. Trans. ASABE. 64:1165-1171.
DOI: https://doi.org/10.13031/trans.14119
Chen, J., Zhao, J., Chen, Y., Bu, L., Hu, G., Zhang, E. 2019. Design and experiment on vibrating and comb brushing harvester for Lycium barbarum. Trans. CSAM. 50:152–161.
Chen, Q., Zhang, S., Hu, G., Zhou, J., Zhao, J., Chen, Y., Chen, J., Gao, S., Chen, Y., Shi, T. 2022a. Parameter optimization of the harvest method in the standardized hedge cultivation mode of lycium barbarum using response surface methodology. Horticulturae. 8:308.
DOI: https://doi.org/10.3390/horticulturae8040308
Chen, Q., Zhang, S., Wei, N., Li, P., Hu, G., Chen, J. 2022b. Parameter optimization of the swing harvesting of lycium barbarum l. Based on response surface methodology. Chinese Automation Congress 2022, JanuaryXiamen, China. pp. 5784-5789.
DOI: https://doi.org/10.1109/CAC57257.2022.10055703
Chen, Y., Zhao, J., Chen, Q., Chen, J. 2021b. Simulation for fitting the bending shape of fruit branches of lycium barbarum based on the finite element method. Horticulturae. 7:434.
DOI: https://doi.org/10.3390/horticulturae7110434
Chen, Y., Zhao, J., Hu, G., Chen, J. 2021c. Design and testing of a pneumatic oscillating chinese wolfberry harvester. Horticulturae. 7:214.
DOI: https://doi.org/10.3390/horticulturae7080214
Du, X., Chen, K., Ma, Z., Wu, C., Zhang, G. 2020. Design, construction, and evaluation of a three-dimensional vibratory harvester for tree fruit. Appl. Engin. Agric. 36:221-231.
DOI: https://doi.org/10.13031/aea.13478
Du, X., Shen, T., Chen, K., Zhang, G., Yao, X., Chen, J., Cao, Y. 2022. Simulation study and field experiments on the optimal canopy shaking action for harvesting camellia oleifera fruits. J. Agric. Eng. 53:1245.
DOI: https://doi.org/10.4081/jae.2022.1245
He, M., Kan, Z., Li, C., Wang, L., Yang, L., Wang, Z. 2017. Mechanism analysis and experiment on vibration harvesting of wolfberry. Trans. CSAE. 33: 47–53.
M,a R-H., Zhang, X-X., Thakur, K., Zhang, J-G., Wei, Z-J. 2022. Research progress of lycium barbarum l. As functional food: Phytochemical composition and health benefits. Curr. Opin. Food Sci. 47:100871.
DOI: https://doi.org/10.1016/j.cofs.2022.100871
Ortiz, C., Torregrosa, A. 2013. Determining adequate vibration frequency, amplitude, and time for mechanical harvesting of fresh mandarins. Trans. ASABE. 56: 15-22.
DOI: https://doi.org/10.13031/2013.42581
Villibor, G.P, Santos, F.L., de Queiroz, D.M., Khoury, Junior J.K., Pinto, F.d.A.d.C. 2019. Dynamic behavior of coffee fruit-stem system using modeling of flexible bodies. Comp. Electr. Agr. 166:105009.
DOI: https://doi.org/10.1016/j.compag.2019.105009
Xiao, Z., Deng, Q., Zhou, W., Zhang, Y. 2022. Immune activities of polysaccharides isolated from lycium barbarum l. What do we know so far? Pharmacol. Therap. 229:107921.
DOI: https://doi.org/10.1016/j.pharmthera.2021.107921
Xing, H., Ma, S., Liu, M., Wang, M., Wei, Y., Hu, J., Wang, F., Xing, H., Bai, J. 2020. Evaluation of shake-and-catch methods on harvesting of tall spindle apples. Trans. ASABE. 63:857-863.
DOI: https://doi.org/10.13031/trans.12612
Xu, L., Chen, J., Wu, G., Yuan, Q., Ma, S., Yu, C., Duan, Z., Xing, J., Liu, X. 2018. Design and operating parameter optimization of comb brush vibratory harvesting device for wolfberry. Trans. CSAE. 34:75–82.
Zhang, X., He, L., Karkee, M., Whiting, M.D., Zhan,g Q. 2020. Field evaluation of targeted shake-and-catch harvesting technologies for fresh market apple. Trans. ASABE. 63:1759-1771.
DOI: https://doi.org/10.13031/trans.13779
Zhang, W., Li, Z., Tan, Y., Li, W. 2018a. Optimal design and experiment on variable pacing combing brush picking device for Lycium barbarum. Trans. CSAM. 49: 83–90.
Zhang, W., Zhang, M., Zhan,g J., Li, W. 2018b. Design and experiment of vibrating wolfberry harvester. Trans. CSAM. 49:97-102.
Zhang, Z., Xiao, H., Ding, W., Mei, S. 2015. Machanism simulation analysis and prototype experiment of Lycium barbarum harvest by vibration mode. Trans. CSAE. 31:20-28.
Zhao, J., Chen, J. 2021. Detecting maturity in fresh lycium barbarum l. Fruit using color information. Horticulturae. 7:108.
DOI: https://doi.org/10.3390/horticulturae7050108
Zhao, J., Chen, J. 2020. High efficiency and low damage harvesting method for lycium barbarum l. ASABE Ann. Int. Virtual Meet., St. Joseph, MI. 2020.
DOI: https://doi.org/10.13031/aim.202000084
Zhao, J., Ma, T., Inagaki, T., Chen,, Q., Gao Z., Sun, L., Cai,, H., Chen C., Li, C., Zhang, S., Tsuchikawa, S., Chen, J. 2021. Finite element method simulations and experiments of detachments of lycium barbarum l. Forests. 12:699.
DOI: https://doi.org/10.3390/f12060699
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: 6-44.
DOI: https://doi.org/10.1016/j.biosystemseng.2014.06.016
How to Cite
Chen, Q. (2024) “Design and experiment optimize of the vibration harvesting machine of <i>Lycium barbarum</i> L”., Journal of Agricultural Engineering, 55(4). doi: 10.4081/jae.2024.1597.
Copyright (c) 2024 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
- Alessio Tugnolo, Roberto Beghi, Valentina Giovenzana, Alessia Pampuri, Simone Virginio Marai, Andrea Casson, Enrico Ferrari, Riccardo Guidetti, Testing of ultrasonic vibration to speed up the remuage operation in sparkling wine production , Journal of Agricultural Engineering: Vol. 55 No. 2 (2024)
- Francesca Perazzolo, Gabriele Mattachini, Fulvia Tambone, Aldo Calcante, Giorgio Provolo, Nutrient losses from cattle co-digestate slurry during storage , Journal of Agricultural Engineering: Vol. 47 No. 2 (2016)
- Qing Guo, Huihuang Xia, A review of the discrete element method/modelling in agricultural engineering , Journal of Agricultural Engineering: Vol. 54 No. 4 (2023)
- Andrea Peruzzi, Luisa Martelloni, Christian Frasconi, Marco Fontanelli, Michel Pirchio, Michele Raffaelli, Machines for non-chemical intra-row weed control in narrow and wide-row crops: a review , Journal of Agricultural Engineering: Vol. 48 No. 2 (2017)
- Hyun Seok Song, Kyung Seok Sim, Tae Won Park, Optimal tread design for agricultural lug tires determined through failure analysis , Journal of Agricultural Engineering: Vol. 49 No. 1 (2018)
- Meng Junjie, Cao Ziang, Guo Dandan, Wang Yuwei, Zhang Dashan, Liu Bingyou, Hou Wenhui, Grape detection in natural environment based on improved YOLOv8 network , Journal of Agricultural Engineering: Vol. 55 No. 4 (2024)
- Abderrahman Sghaier, Hanen Dhaou, Lassaad Jarray , Zouhair Abaab, Ahmed Sekrafi, Mohamed Ouessar , Assessment of drought stress in arid olive groves using HidroMORE model , Journal of Agricultural Engineering: Vol. 53 No. 1 (2022)
- Yufan He, Qingzhen Zhu, Weiqiang Fu, Changhai Luo, Yue Cong, Wuchang Qin, Zhijun Meng, Liping Chen, Chunjiang Zhao, Guangwei Wu, Design and experiment of a control system for sweet potato seedling-feeding and planting device based on a pre-treatment seedling belt , Journal of Agricultural Engineering: Vol. 53 No. 3 (2022)
- 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)
- Xingbo Hu, Tian Xia, Leidong Yang, Fangming Wu, Ying Fan, Yinghong Tian, 3D modeling and volume measurement of bulk grains stored in large warehouses using bi-temporal multi-site terrestrial laser scanning data , 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.
