Abstract
The use of mechanical picking instead of labor can improve the picking efficiency, but the use of mechanical picking will take the old leaves together with the young leaves, which lacks selectivity. Based on this study combined the automation control software system, functional requirements and performance requirements to analyze the control software of the crawler-type tea picker cutter. At the same time, this paper combined the machine vision system to construct the tea bud identification system, and taken the crawler picking system as an example for experimental analysis. Through experimental research, we can know that the algorithm of this study has certain validity and can provide theoretical reference for subsequent related research.
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Acknowledgement
Jiangsu Natural Science Foundation Project (16KJB520047); Key R&D projects of science and technology in Jiangsu Province (BE2017067); Key R&D Subprojects of the Ministry of Science and Technology (2018YFB1703505).
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Ya, G. (2020). Research on the Application of Automation Software Control System in Tea Garden Mechanical Picking. In: Abawajy, J., Choo, KK., Islam, R., Xu, Z., Atiquzzaman, M. (eds) International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019. ATCI 2019. Advances in Intelligent Systems and Computing, vol 1017. Springer, Cham. https://doi.org/10.1007/978-3-030-25128-4_241
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DOI: https://doi.org/10.1007/978-3-030-25128-4_241
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