摘要
据目前形势来看,应该通过开发属于我国基于华为鸿蒙和多源数据融合的智慧农业生产系统,来应对智慧农业系统在未来应用场景上的局限性与不确定性。相较于目前市场上的智慧农业系统,在算法上提出了创新点,如利用SSEAE来提取高维稀疏特征和引入PCA对特征进行压缩等,并通过鸿蒙开发平台和BearPi-HM Nano开发板创建软件和连接传感器。结果表明,通过华为鸿蒙OS可以建立智慧农业的App并可以通过BearPi-HM Nano连接传感器及通过比较的方法初步证明在算法上创新的可行性。
According to the current situation,we should cope with the limitations and uncertainties of smart agriculture system in future application scenarios by developing our own smart agriculture production system based on Huawei HarmonyOS and multi-source data fusion.Comparing the smart agricultural systems in the market at present,we proposed innovative points in algorithm,such as using SSEAE to extract high-dimensional sparse features,introducing PCA to compress features,and creating software and connecting sensors through HarmonyOS development platform and BearPi-HM Nano development board.The results show that we can establish an App of smart agriculture through Huawei HarmonyOS,connect sensors through BearPi-HM Nano and preliminarily prove the feasibility of algorithm innovation through comparison.
出处
《智慧农业导刊》
2023年第9期1-4,共4页
JOURNAL OF SMART AGRICULTURE
基金
湖南省2022年大学生创新创业训练计划项目基金资助(湘教通【2022】174号)。
作者简介
通信作者:张国华(1970-),男,博士,教授,硕士研究生导师。研究方向为物流信息化与大数据。
