|
Botanical Research 2022
基于物联网技术的中药材种植方案探索
|
Abstract:
中药材是中国历史文化不可缺少的一部分,经过几千年的探索与总结,得到了人们广泛认同与应用。目前,中药材的市场需求激增,现有人工种植技术存在较大的弊端,难以满足实际生产需求。针对现状,论文分析了导致中草药质量不佳的原因,阐述了引入先进科学技术进行中药材种植管理的现实意义,提出了一种基于物联网技术的中药材监测系统,该系统可以实时监测中药材的生长情况、生长环境等,并将采集的数据进行智能分析以供用户做出决策。测试证明,该系统可有效提高中药材种植与管理技术,为各行业生产智能化、数据化发展提供一定的借鉴经验。
Traditional Chinese medicines are an integral part of Chinese history and culture, and after thousands of years of exploration and summation, they have been widely recognized and applied. At present, the market demand for traditional Chinese medicines is surging, and the existing artificial cultivation techniques have major drawbacks, making it difficult to meet the actual production needs. In response to the current situation, the thesis analyses the reasons leading to the poor quality of traditional Chinese medicines, explains the practical significance of introducing advanced science and technology for the planting management of traditional Chinese medicines, and proposes a monitoring system for traditional Chinese medicines based on Internet of Things technology, which can monitor the growth condition and growth environment of traditional Chinese medicines in real-time and analyze the collected data intelligently for users to make decisions. The test proves that the system can effectively improve the cultivation and management technology of traditional Chinese medicines, and provide certain reference experience for the development of intelligent and data-oriented production in various industries.
[1] | 科技部“九五”重中之重项目——“中药现代化研究与产业化开发”项目实施方案[J]. 世界科学技术-中医药现代化, 1999, 1(2): 5-11. |
[2] | 冯雷. 浅议中药现代化的必要性与提高中药质量的关系[J]. 中国中医药信息杂志, 2003, 10(3): 1-3. |
[3] | 杨健, 张京梅. 中药炮制的历史沿革及存在的问题[C]//中华中医药学会中药炮制分会2008年学术研讨会. 中华中医药学会中药炮制分会2008年学术研讨会论文集. 2008: 45-48. |
[4] | 王韶鸿, 迟梦辰, 杨文迪, 李淇, 马双, 古鹏飞, 张萌. 基于5G+智联网技术用于中草药种植监测的APP[J]. 信息记录材料, 2021, 22(6):150-152. https://doi.org/10.16009/j.cnki.cn13-1295/tq.2021.06.083 |
[5] | 应巨林, 曾铮, 曾敏, 王铳. 基于5G技术的农作物视频监控平台的研究与应用[J]. 农业与技术, 2020, 40(15): 52-54. https://doi.org/10.19754/j.nyyjs.20200815016 |
[6] | 周援植. 基于无线传感器网络技术的智慧农业系统设计与实现[D]: [硕士学位论文]. 成都: 电子科技大学, 2022. |
[7] | 曹飞. 垫江县高标准基本农田建设成效评价及建设时序研究[D]: [硕士学位论文]. 重庆: 重庆师范大学, 2018. |