Fisheries DX｜i-enter Corporation,Ltd.

Fisheries Digital Transformation

One of the challenges in the fisheries industry is the lack of digital information about coastal resources. In the past, data collection was manual and time-consuming. In addition, it could lead to low efficiency, poor compatibility, high costs, and labor shortages due to reliance on intuition and experience. Information and Communication Technology (ICT) offer solutions to these issues by efficiently gathering reliable and accurate information from the fishery field and the surrounding environment, improving the assessment and management of fishery resources.

Our Approach

We are not only experts in developing business systems and apps, but we also utilize advanced technologies to automate and streamline tasks in the fisheries industry. By doing so, we help increase the added value of fishery products and processed goods, as well as secure a sustainable workforce for the industry. With the incorporation of IoT and AI technology into the fisheries industry, we are excited to create a new world of possibilities that have never been seen before.

Electronic Bidding System

We have developed an electronic bidding system that allows for fish bidding on tablet devices immediately after being brought to the fishing port. Our system aims to reduce bidding time and store bidding data. This system consists of an Android tablet app for brokers to enter their bidding prices and a web application for managing bidding data on PC browsers.

Before adopting our system, bidding was done manually

Available on both PC and tablet devices.

Utlized at the Utoro Fishing Port in Shari, Hokkaido

Abalone Land-Based Aquaculture IoT

We have developed a closed-type circulating aquaculture system for indoor abalone cultivation. This system circulates and filters artificial seawater, and is monitored using our IoT Water Quality Sensor. Our proprietary automatic feeder enables automated feeding and water supply control. Additionally, we provide real-time monitoring of the aquarium's condition through a live camera.

3 abalone tanks in operation

150 abalones per tank

System diagram

AI Managed Aquaculture System

We are conducting research on an AI-managed aquaculture system that uses web cameras to automatically monitor the condition of fish and the fish tank environment. This system records numerical values by analyzing the video output of multiple digital water thermometers through AI. Even in low-light conditions, the system is capable of monitoring aeration, water flow, and fish condition through night vision videos.

Read numerical values on the digital water thermometers through AI

Capable of reading and recording multiple thermometers simultaneously

Capable of monitoring aeration, water flow, and fish in low-light conditions

Fish Growth Management

We utilize our IoT Water Quality Sensor to automatically record changes in dissolved oxygen level caused by fluctuations in water temperature and feeding operations, thereby visualizing changes in the water quality of the fish tanks. In addition, our Fish Size Estimation System records and measures the size of fish in the fish tanks, allowing us to visualize their growth status as time-series data through automatic analysis. These technologies support the management of the fish tanks and the growth of fish.