Deriving deep sea seafood tracability maps using multisource data aggregation

• Main Authors: You, MIn-Ruei, 游旻叡
• Other Authors: 許為元
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/remqvk

碩士 === 國立臺灣海洋大學 === 資訊工程學系 === 106 === Taiwan is an island country surrounded by the ocean that is rich in marine resources. According to Taiwan Fishery Agency's statistical data, the fishery industry is very important since it produces an estimated value of 86 billion NTD per year. However, marine resources are not unlimited and may deplete if not sustained. Illegal, unreported, and unregulated (IUU) fishing is a major reason of unsustained fishery and has aroused concerned of different sectors in the community. To strengthen the management of deep sea fisheries, Fisheries Agency, Council of Agriculture, Executive Yuan established Fisheries Management Center. Since July 1, 2016, the Fisheries Agency implemented a declaration system for landing and began to use a new generation eLogbook system, hoping that these strategies can make monitoring and management more complete. The international regulation attaches great importance to the traceability of seafood, which is a key to battle IUU fishing. In Taiwan, the Agricultural Traceability System has already been established. However, there is no such system yet in the deep sea fishery sector. From the landing declarations and eLogbook system developed by the Fisheries Agency, we can construct a traceability map of deep sea seafood. We apply data aggregation techniques on multisource data and use Closest Point of Approach (CPA) algorithm to estimate the position where the fishing vessel transships to another vessel. This seafood traceability map system can map catch and transshipment information of major fish products. It provides a web-based visualization interface which can show either the region of catch or travel map of produces. Authorities and users can use this system to understand the source and validity of fish catches.