Design of and Experiment with Physical Perception Pineapple Targeted Flower Forcing-Spraying Control System

文献类型： 外文期刊

第一作者： Zhou, Sili

作者： Zhou, Sili;Zheng, Shuang;Dai, Ye;Deng, Ganran;Li, Guojie;Cui, Zhende;Wang, Xilin;Li, Ling;He, Fengguang;Yan, Bin;Qin, Shuangmei;Liu, Zehua;Chen, Pinlan;Zhou, Sili;Zheng, Shuang;Dai, Ye;Deng, Ganran;Li, Guojie;Cui, Zhende;Wang, Xilin;Li, Ling;He, Fengguang;Yan, Bin;Qin, Shuangmei;Liu, Zehua;Chen, Pinlan;Luo, Yizhi

作者机构：

关键词： pineapple; physical perception; flowering forcing; spraying; control

期刊名称：HORTICULTURAE （ 影响因子：3.0； 五年影响因子：3.2 ）

ISSN：

年卷期： 2025 年 11 卷 6 期

页码：

收录情况： SCI

摘要： Induction in pineapples requires the targeted delivery of specific chemical solutions into the plant's central core to enable batch management, a task currently reliant on manual operation. This study addressed this challenge by analyzing the physical characteristics of pineapple plants and establishing a perception-based mathematical model for core position localization. An integrated hardware-software system was developed, complemented by a human-machine interface for real-time operational monitoring. Comprehensive experiments were conducted to evaluate the spraying accuracy, nozzle response time, and prototype performance. The results demonstrate that the actuation system-comprising solenoid valves, pumps, and flowmeters-achieved an average spraying error of 2.72%. The average nozzle opening/closing time was 0.111 s; with a standard operating speed of 0.5 m/s, a delay compensation distance of 55.5 mm was implemented. In human-machine comparative trials, the automated system outperformed manual spraying in both efficiency and stability, with average errors of 7.1% and 6.4%, respectively. The system reduced chemical usage by over 67,500 mL per hectare while maintaining a miss-spray rate of 5-6%. Both two-tailed tests revealed extremely significant differences (p < 0.001). These findings confirm that the developed solution meets the operational requirements for pineapple floral induction, offering significant improvements in precision and resource efficiency.

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