高密度养殖池死鱼识别模型

在高密度水产养殖过程中，死鱼的及时发现与清理是保障水质安全、减少病害传播的关键环节。传统人工巡查效率低、漏检率高，尤其在规模化养殖场景下难以满足需求。本系统基于AI视觉识别+物联网传感技术，可全天候自动监测养殖池中的死鱼，并实时报警，助力养殖场提升管理效率、降低经济损失。

In intensive aquaculture, timely detection and removal of dead fish are critical steps to ensure water quality safety and reduce disease spread. Traditional manual inspection has low efficiency and a high missed detection rate, making it difficult to meet operational demands, especially in large-scale aquaculture scenarios. This system, based on AI visual recognition and Internet of Things (IoT) sensing technologies, can automatically monitor dead fish in culture ponds around the clock and trigger real-time alarms, helping aquaculture farms improve management efficiency and reduce economic losses.

搜集汇总

背景与挑战

背景概述

该数据集为高密度养殖池死鱼识别模型，基于AI视觉识别和物联网传感技术，用于自动监测养殖池中的死鱼并实时报警，旨在提升养殖管理效率。