https://doi.org/10.4081/jae.2024.1562
Development and test of a spring-finger roller-type hot pepper picking header
Published: 19 February 2024
Abstract Views: 584
PDF: 331
HTML: 3
HTML: 3
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
This study developed a spring-finger roller-type hot pepper picking header to increase picking efficiency, performance, and lower harvesting costs. The picking header was mainly composed of a roller, spring-fingers, a steel frame, an upper cover plate, and transmission parts. Based on SolidWorks, a picking structure model for hot peppers was created in accordance with their mechanical properties. The movement law of the picking springfinger was analyzed based on the working principle to select appropriate motion parameters of main factors. Based on these chosen parameters, a prototype hot pepper picking header was created, and field tests were conducted to investigate the primary factors influencing the harvesting effect. The rotation speed of the roller and the travel speed of the picking machine were monitored by setting sensors. Using Design Expert, the test results were examined and optimized in accordance with a central composite design. The orthogonal test results showed that when the roller rotation speed was 215.00 r⋅min−1, and travel speed was 3.59 km⋅h−1, the hot pepper picking header had the best harvest effect. The picking rate was 98.47%, and the breakage rate was 3.87%. The hot pepper picking header with a spring-finger roller type and good picking effect were demonstrated by the field experiment.
Food and Agriculture Organization-World Health Organization (FAOWHO), 2022. Production Share of Chilies and Peppers, Dry by Region. Available online: https://www.fao.org/faostat/en/#data/QCL/visualize (accessed on 08 July 2022).
Statistics Korea, 2022. Production of Chili Pepper. Available online:http://kostat.go.kr/portal/eng/pressReleases/1/index.board? bmode=read&aSeq=415243 (accessed on 12 July 2022).
Wang R , Zheng Z , Lu X , et al. 2021, Design, simulation and test of roller comb type Chrysanthemum (Dendranthema morifolium Ramat) picking machine[J]. Computers and Electronics in Agriculture, 187(1):106295.
DOI: https://doi.org/10.1016/j.compag.2021.106295
Dai, X., & Liu, Z.. 2005. On current situation and its development trends of the pepper industry in China. Journal of China Capsicum. vol. 4, pp. 1-6.
Bidhan Chandra NathYo-Sang NamMd. Durrul HudaMd. Mizanur RahmanPanna AliSubrata Paul. 2017. Status and constrain for mechanization of rice harvesting system in bangladesh. Agricultural Science (English), 8(6), 492-506.
DOI: https://doi.org/10.4236/as.2017.86037
Hu S. J., 2012.Design and research of the comb -type picking device for chili pepper. Shi Hezi University, Xin Jiang.
Chen, Y.C.; Kong, L.J.; Wang, H.X., 2013. Research of mechanism and experiment of 4LZ-3.0 self-propelled pepper harvester. Appl. Mech. Mater. 419, 217–222.
DOI: https://doi.org/10.4028/www.scientific.net/AMM.419.217
Funk, P.A.; Walker, S.J., 2010. Evaluation of five green chili cultivars utilizing five different harvest mechanisms. Appl. Eng. Agric. 26, 955–964.
DOI: https://doi.org/10.13031/2013.35906
Funk P A, Herbon R P. 2011. A Systems Approach to Chile Harvest Mechanization[J]. International Journal of Vegetable Science, 17(3):296-309.
DOI: https://doi.org/10.1080/19315260.2010.549167
Wall, M. M., Walker, S., Wall, A. D., 2003). Yield and quality of machine harvested red chili peppers. American Society for Horticultural Science (2), 1-5.
DOI: https://doi.org/10.21273/HORTTECH.13.2.0296
Stanly N. M., Jayan P. R., Malkani P., et al., 2020, Design, development and evaluation of pepper harvester. J. Agri Search. 7, 82–85.
Kang, K.S., Park, H.S., Park, S.J., 2016. Study on optimal working conditions for picking head of self-Propelled pepper harvester by factorial test. J. Biosyst. Eng. 41, 12–20.
DOI: https://doi.org/10.5307/JBE.2016.41.1.012
Kim, T.H., Kim, D.C.; Cho, Y., 2020. Performance comparison and evaluation of two small chili pepper harvester prototypes that attach to walking cultivators. Appl. Sci., 10, 2570.
DOI: https://doi.org/10.3390/app10072570
Nam, J.S., Byun, J.H., Kim, T.H., et al. 2018, Measurement of mechanical and physical properties of pepper for particle behavior analysis. J. Biosyst. Eng. 43, 173–184.Nam, J.S., Kang, Y.S., Kim, S.B., Factorial experiment for drum-type secondary separating part of self-propelled pepper harvester. J. Biosyst. Eng. 2017, 42, 242–250.
Shin, S.Y., Kim, M.H., Cho, Y. et al., 2021. Performance testing and evaluation of drum-type stem separation device for pepper harvester. Appl. Sci. 11, 9225.
DOI: https://doi.org/10.3390/app11199225
Qin, X., Lei, J., Chen, Y., 2012. Design and research on key components of a novel self-propelled chile pepper harvester. Appl. Mech. Mater. 468, 794–797.
DOI: https://doi.org/10.4028/www.scientific.net/AMR.468-471.794
Lei, J., Qin, X., Chen, Y. 2015, Design and analysis on key components of a novel chili pepper harvester’s picking device. Open Mech. Eng. J. 9, 540–545.
DOI: https://doi.org/10.2174/1874155X01509010540
Duan Y., 2014. Damage mechanism and experimental study of mechanical harvesting peppers. Shi Hezi University, Xin Jiang. 10-50.
Srikanth V., Rajesh G. K., Kothakota A., et al. 2020, Modeling and optimization of developed cocoa beans extractor parameters using box behnken design and artificial neural network. Computers and Electronics in Agriculture, 177: 105715.
DOI: https://doi.org/10.1016/j.compag.2020.105715
Yu Z.Y., Yang K., Hu Z.C. et al., 2023, Parameter optimization and simulation analysis of floating root cutting mechanism for garlic harvester. Computers and Electronics in Agriculture. Volume 204, January 2023, 107521. https://doi.org/10.1016/j.compag.2022.107521
DOI: https://doi.org/10.1016/j.compag.2022.107521
How to Cite
Song, Z. (2024) “Development and test of a spring-finger roller-type hot pepper picking header”, Journal of Agricultural Engineering, 55(2). doi: 10.4081/jae.2024.1562.
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
- Ferruccio Giametta, Flavio Fucci, Pasquale Catalano, Giovanna La Fianza, Thermo-fluid-dynamic modelling of a cold store for cheese maturation , Journal of Agricultural Engineering: Vol. 43 No. 4 (2012)
- Marco Benetti, Franco Gasparini, Andrea Peruzzi, Luigi Sartori, Evaluation of the effects of different openers mounted on no-tillage planters on maize: a field study , Journal of Agricultural Engineering: Vol. 55 No. 3 (2024)
- Daniel Veal, Lutz Damerow, Peter Schulze Lammers, Michael Blanke, Kinematic model for mechanical apple blossom thinning , Journal of Agricultural Engineering: Vol. 55 No. 1 (2024)
- Andrea Petroselli, Dario Romerio, Piero Santelli, Roberto Mariotti, Silvano Di Giacinti, Luca Casini, Carmine Testa, Assessing sprinkler systems performance with a novel experimental benchmark , Journal of Agricultural Engineering: Vol. 52 No. 3 (2021)
- Xiaoqiang Du, Tengfei Shen, Kaizhan Chen, Guofeng Zhang, Xiaohua Yao, Juanjuan Chen, Yongqing Cao, Simulation study and field experiments on the optimal canopy shaking action for harvesting Camellia oleifera fruits , Journal of Agricultural Engineering: Vol. 53 No. 3 (2022)
- Yerong Sun, Kechuan Yi, Agricultural machinery photoelectric automatic navigation control system based on back propagation neural network , Journal of Agricultural Engineering: Vol. 54 No. 4 (2023)
- Alessandro Benelli, Chiara Cevoli, Angelo Fabbri, Luigi Ragni, Hyperspectral imaging to measure apricot attributes during storage , Journal of Agricultural Engineering: Vol. 53 No. 2 (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)
- 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)
- Giulio Senes, Natalia Fumagalli, Paolo Stefano Ferrario, Roberto Rovelli, Federico Riva, Giovanna Sacchi, Paolo Gamba, Giacomo Ruffini, Giacomo Redondi, Assessment of the ecosystem services given by rural and urban green areas to preserve high-quality territories from land take: the case of the province of Monza Brianza (Italy) , Journal of Agricultural Engineering: Vol. 54 No. 4 (2023)
<< < 4 5 6 7 8 9 10 11 12 13 > >>
You may also start an advanced similarity search for this article.
