A location-based marine fishery information service based on BeiDou navigation satellite system
文献类型： 外文期刊
作者： Zhou, Weifeng 1 ; Hou, Juan 2 ; Fan, Wei 3 ; Dai, Yang 3 ;
作者机构： 1.Chinese Acad Fishery Sci, East China Sea Fisheries Res Inst, Shanghai, Peoples R China
2.Shanghai Ocean Univ, Shanghai, Peoples R China
3.Minist Agr, Key Lab Ocean & Polar Fisheries, Shanghai 200090, Peoples R China
关键词： Marine fishery; information service; satellite navigation communication system; fishing ground forecasting
期刊名称：JOURNAL OF INTELLIGENT & FUZZY SYSTEMS （ 影响因子：1.851； 五年影响因子：1.797 ）
ISSN： 1064-1246
年卷期： 2019 年 37 卷 4 期
页码：
收录情况： SCI
摘要： In this study, we develop a kind of location-based marine fishery information service method. The method is to use position and communication function of BeiDou navigation satellite system and shipborne marine environment monitoring sensors to obtain the location information, production data and marine environment data measured in situ, and then to extract the grid data around the target fishing vessel and transform these data into environment data in the form of vector. Then information service center takes the production data and environment data measured in situ as training sample to optimize the set fishing ground forecast model in accuracy and generalization. The model is used to calculate the fishing ground probability around the target fishing vessel. Finally, the information service center encodes the result of the forecast and related environment information together and send them to the target vessel. The method providing a location-based, vessel-oriented, customized and high-precision service, data generated from which is far less than those from some traditional methods, is cost-effective and easy to be popularized and applied by fishery operation departments.
- 相关文献
作者其他论文 更多>>
-
Screening and Analysis of Potential Aquaculture Spaces for Larimichthys crocea in China's Surrounding Waters Based on Environmental Temperature Suitability
作者：Yang, Ling;Zhou, Weifeng;Cui, Xuesen;Lu, Yanan;Liu, Qin;Yang, Ling
关键词：
Larimichthys crocea ; deep-sea aquaculture; potential spaces; spatial analysis; China -
Effects of western boundary currents and sea surface temperature anomalies on interannual variability of chub mackerel abundance in the Northwest Pacific
作者：Li, Jiasheng;Zhou, Weifeng;Dai, Yang;Tang, Fenghua;Wu, Yumei;Zhang, Heng;Fan, Xiumei;Cui, Xuesen;Li, Jiasheng
关键词：Chub mackerel; Abundance; Kuroshio; Oyashio; Sea surface temperature anomaly; Northwest Pacific
-
Unsupervised Classification of Global Temperature Profiles Based on Gaussian Mixture Models
作者：Ye, Xiaotian;Zhou, Weifeng;Ye, Xiaotian
关键词：ocean temperature; Gaussian Mixture Models; the optimal model; global distribution
-
A Data Cleaning Method for the Identification of Outliers in Fishing Vessel Trajectories Based on a Geocoding Algorithm
作者：Zhang, Li;Zhou, Weifeng;Zhang, Li
关键词：Geohash; fishing vessel; trajectory data; outliers; data cleaning; data mining
-
Multiscale variation analysis of sea surface temperature in the fishing grounds of pelagic fisheries
作者：Lai, Qixiang;Zhou, Weifeng;Lai, Qixiang
关键词：pelagic fisheries; sea surface temperature; Ocean Nino Index; trend decomposition; variance analysis; the interquartile ranges; change point analysis
-
Fishing operation type recognition based on multi-branch convolutional neural network using trajectory data
作者：Jiang, Bohui;Zhou, Weifeng;Jiang, Bohui
关键词：Geohash; Vessel trajectory; Deep convolutional neural network; Deep learning; Spatiotemporal context; Fishing operation type; Embedding
-
Identification of glass eel capture equipment in the Yangtze River estuary based on high-spatial-resolution imagery and an improved YOLOv8 model
作者：Zhu, Pengfei;Zhou, Weifeng;Zhu, Pengfei
关键词：YOLOv8; Small target detection; Glass eel; Deep learning
