中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
BIG DATA-BASED MONITORING METHOD AND MONITORING SYSTEM OF GRASSLAND DATA AND READABLE STORAGE MEDIUM

文献类型:专利

作者SHI,Lei; TIAN,Yuan; YU,Chengqun
发表日期2022-05-25
专利号ZA2022/05360
著作权人Institute of Geographic Sciences and Natural Resources Research
国家ZA
英文摘要Disclosed is big data-based monitoring method and monitoring system of grassland data and readable storage medium. The method includes: extracting environmental factors within preset cycle by first sensor group, and inputting them into trained identification neural network model to obtain analog output value; extracting soil factors within cycle by second sensor group, and determining soil level of current grassland based on analog output value; and obtaining growing information of target community of grass within cycle by big data analysis based on preset image for monitoring grass data. Various collected sensing data is acquired by different sensors, and collected environmental data on ground is subjected to analog analysis based on CNN neural network model and is compared with data collected by sensors under earth surface to obtain grass soil information; and meanwhile, community growth data of grass is also acquired based on collected image information.
公开日期2022-05-25
申请日期2022-05-16
源URL[http://ir.igsnrr.ac.cn/handle/311030/193991]  
专题拉萨站高原生态系统研究中心_专利、软件、成果转化
作者单位Institute of Geographic Sciences and Natural Resources Research
推荐引用方式
GB/T 7714
SHI,Lei,TIAN,Yuan,YU,Chengqun. BIG DATA-BASED MONITORING METHOD AND MONITORING SYSTEM OF GRASSLAND DATA AND READABLE STORAGE MEDIUM. ZA2022/05360. 2022-05-25.

入库方式: OAI收割

来源:地理科学与资源研究所

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