Short-term prediction of fishing effort distributions by discovering fishing chronology among trawlers based on VMS dataset

作者：

Highlights：

• This study proposes a new knowledge of fishing chronology among trawlers.

• The fishing chronology are used in CNN to predict week-level fishing efforts.

• The proposed system achieves a low prediction error of 6.95% on week-level.

摘要

•This study proposes a new knowledge of fishing chronology among trawlers.•The fishing chronology are used in CNN to predict week-level fishing efforts.•The proposed system achieves a low prediction error of 6.95% on week-level.

论文关键词：Vessel monitoring system,Trajectory data analysis,Fishing effort distribution,Convolutional neural network

论文评审过程：Received 20 February 2021, Revised 28 June 2021, Accepted 28 June 2021, Available online 8 July 2021, Version of Record 13 July 2021.

论文官网地址：https://doi.org/10.1016/j.eswa.2021.115512