Study on the Prediction System of Shrimp Field Distribution in the East China Sea Based on Big Data Analysis of Fishing Trajectories  

作　　者：GUAN Huanhuan ZHAO Xueli 

机构地区：[1]Management College,Ocean University of China,Qingdao 266100,China [2]College of Information Science and Engineering,Ocean University of China,Qingdao 266100,China

出　　处：《Journal of Ocean University of China》2021年第1期228-234,共7页中国海洋大学学报（英文版）

摘　　要：In recent years,China has paid more and more attention to the development of marine economy and the management and protection of fishery resources.The management departments at all levels regulate and manage the fishing behavior of fishing vessels through the data of fishing trajectories.In this paper,the distribution of shrimp farms in the East China Sea is predicted by studying the trajectories and behavior patterns of shrimp boats in the system of fishing trajectories.At the same time,a set of shrimp farm distribution management system based on Back Propagation algorithm is established.It can monitor the trajectories of fishing boats and the distribution of shrimp groups in real time,which effectively improves the work efficiency and management mode of the management department.It also plays a positive role in regulating the behavior of fishing boats at sea.

关 键 词：BP algorithm big data shrimp farm distribution fishery management 

分 类 号：S97[农业科学—捕捞与储运]