[PROBLEMS] To systematize a fish identification system that makes use of artificial intelligence to identify catches and track the history, a fish management system that systematizes quality control of fish, and logistics of fish Provide a catch logistics system. A fish type feature quantity storage unit 7 that stores fish type feature quantities for each fish species 14 of a fish catch 13, an image pickup unit 4 that individually captures the fish catch 13 and extracts feature quantities, and a feature quantity Is compared with the fish species feature amount, the fish species determination unit 8 that determines the fish species 14 of the catch 13, the identification number assigning unit 9 that assigns the identification number 10 to the catch 13, and other features of the same type from the feature amount An individual feature amount extraction unit 6a that extracts an individual feature amount that can be distinguished from the fish 13 and an individual fish database 12 that stores the individual feature amount in association with the identification number 10 for each fish 13 are provided. [Selection] Figure 1【課題】人工知能を活用し、漁獲物を識別して履歴を追跡可能とする漁獲物識別システム、漁獲物の品質管理等をシステム化する漁獲物管理システム、及び漁獲物の物流等をシステム化する漁獲物物流システムを提供する。【解決手段】漁獲物１３の魚種１４ごとの魚種特徴量を記憶する魚種特徴量記憶部７と、漁獲物１３を個別に撮像して特徴量を抽出する撮像部４と、特徴量を魚種特徴量と比較し、漁獲物１３の魚種１４を判定する魚種判定部８と、漁獲物１３に識別番号１０を付与する識別番号付与部９と、特徴量から同種の他の漁獲物１３と識別可能な個別特徴量を抽出する個別特徴量抽出部６ａと、個別特徴量を漁獲物１３ごとに識別番号１０に紐付けして保存する個別漁獲物データベース１２とを備える。【選択図】図１
