system
The system addresses inefficiencies in aquaculture by using real-time data and generative models for anomaly detection and autonomous control, optimizing water quality and growth, and scheduling to enhance profitability and reduce costs.
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- SOFTBANK GROUP CORP
- Filing Date
- 2024-12-03
- Publication Date
- 2026-06-15
AI Technical Summary
Conventional aquaculture technologies face challenges such as declining fishery resources, ecosystem protection, labor shortages, increasing management costs, and inefficiencies in managing water quality, organism growth, and health, as well as the need for automation and optimization in aquaculture processes.
A system that utilizes real-time environmental data collection, anomaly detection through a generative model, autonomous control of equipment, tailored feeding schedules, behavioral monitoring, and market data analysis to optimize water quality, growth, and health management, thereby reducing costs and maximizing profits.
The system efficiently manages aquaculture environments by maintaining optimal water quality, promoting organism growth, detecting anomalies, and optimizing shipping schedules, leading to reduced management costs and improved profitability.
Smart Images
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