检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:王贝贝 姚艳丽 张争 王苗苗 郭琰煊 WANG Bei-bei;YAO Yan-li;ZHANG Zheng(Henan Zhongyuan Photoelectric Measurement and Control Technology Co.,Ltd.,Zhengzhou,Henan 450047;Xinjiang Xingnong Network Information Center,Urumqi,Xinjiang 830002;Hebei Meteorological Bureau,Shijiazhuang,Hebei 050000)
机构地区:[1]河南中原光电测控技术有限公司,河南郑州450047 [2]新疆兴农网信息中心,新疆乌鲁木齐830002 [3]河北省气象局,河北石家庄050000
出 处:《安徽农业科学》2021年第17期201-205,共5页Journal of Anhui Agricultural Sciences
摘 要:研究植被生态自动化观测方法,进而确定仪器的组成结构,根据传感器的接口、协议类型和神经网络处理器的应用方式设计了基于ARM架构控制处理器的外设接口,进一步结合非RKNN模型的转换应用流程,设计了控制处理器数据采集、处理、存储、传输和控制交互的具体功能和流程。针对3种不同的植被类型,将仪器分别部署在内蒙古、广西和安徽3个国家级农业气象试验基地,采用仪器测量数据与人工平行观测的方法进行外场试验。结果表明,这种植被生态自动化观测方法是可行的、有效的,仪器性能指标也符合实际业务观测要求。This paper studied the observation method of vegetation ecological automation,and then determined the composition and structure of the instrument.According to the sensor interface,protocol type and application mode of neural network processor,the peripheral interface of control processor based on ARM architecture was designed.Furthermore,combined with the application process of non RKNN model conversion,the specific function and process of the data acquisition,processing,storage and transmission,control interaction of control processor were designed.According to three different vegetation types,the instruments were deployed in three national agrometeorological experimental bases in Inner Mongolia,Guangxi and Anhui,and the field test was carried out by using the method of instrument measurement data and manual parallel observation.The results showed that the automatic observation method of vegetation ecology was feasible and effective,and the performance index of the instrument was also in line with the actual business observation requirements.
关 键 词:植被生态自动化观测 深度学习 植被关键特征参数测量
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:3.145.68.176