SMART AQUACULTURE · AIoT
Aquaculture AI
From water quality sensing and power automation to AI vision and unmanned-boat dispensing, CYC offers a complete smart-aquaculture solution that can be adopted in phases. Each device works on its own and can also be integrated into a single management system.
15 Sites
Smart farming systems deployed in the field
99.7%
Measured sorting yield
3 Projects
Government R&D projects completed
1
Technology transfer completed
Product Lineup
Five Product Lines for Five Stages of Farm Operations
Adjusting water, running equipment, counting stock, dispensing feed, reading data — each can be adopted independently.
🚤
Autonomous Unmanned Boat
Feed, lime and water treatments in one pass with quick-release modules. Cuts labor by 70% and doubles efficiency.
💧
Hypochlorous Acid Generator for Aquaculture
Generates hypochlorous acid water on-site at the pond to remove algae, lower ammonia and eliminate bacteria.
🎯
Smart Fish & Shrimp Counter
AI vision replaces manual counting, identifying species and quantities, with an easy drawer-style tank.
📡
Smart Farm Power Control & Water Quality Kit
Remote control of paddlewheels and water inlet/outlet from your phone, LINE alerts on anomalies; solar-powered with self-cleaning sensors.
🧠
Intelligent Aquaculture System
AI vision + edge computing + AIoT sensor network for smart management across the entire farming process.
How They Fit Together
Adopt One, or Connect Them All
| Reading Water Quality | The water quality monitoring kit collects ORP / pH / DO / EC / temperature and streams data to your phone in real time |
|---|---|
| Adjusting Water Quality | Operate the hypochlorous acid generator based on readings to remove algae, lower ammonia and disinfect |
| Controlling Equipment | The power control kit switches paddlewheels and water inlet/outlet remotely, with LINE alerts on abnormal status |
| Counting Stock | The smart counter provides a recorded count basis at fry intake, stocking and harvest |
| Dispensing Feed | The autonomous boat handles feeding and lime/treatment spreading, replacing manual pond rounds |
| Using the Data | The intelligent aquaculture system integrates all the above, running AI inference and anomaly alerts on edge compute |
Grant Programs and Their Products
Which Program Produced Each Product
CYC's aquaculture equipment wasn't developed in a vacuum — most of it was validated through government R&D and grant programs. The table below maps each program to its resulting product.
| FY113 Digital Cloud Service R&D Grant Administration for Digital Industries, Ministry of Digital Affairs | Smart farm water quality monitoring & environmental surveillance kit; smart farm power control kit (Water sensing + remote power control + cloud management — the "Smart Fish" integrated solution) |
|---|---|
| 112 Agri-Sci-1.5.1-Aqua-A1 Commissioned research, Fisheries Research Institute, Ministry of Agriculture | Wireless compact multi-parameter water quality monitor; AR visual aid (AR on-site work guidance + AIoT environmental sensing + remote video consulting) |
| FY113 Agricultural Industry R&D Program Golden clam processing and sorting equipment R&D | Clam sorting equipment (hydraulic sorting) (Water-flow sorter + in/out conveyors + anti-corrosion enclosure) |
| FY115 MOA AI Empowerment Industry Participation Program In progress | Intelligent aquaculture system; smart fish & shrimp counter (AI vision + edge compute module + AIoT sensor network) |
| MOA Industry R&D: Nutrient-Water Farming Circulating algal nutrient solution for clams · in progress | Water quality module + algae growth prediction model (Rendering by-product nutrient solution + ML growth prediction + lightweight LLM decision support) |
| FY114 Yunlin County Smart Aquaculture Innovation Program In progress | Smart farming war room (Integrated visualization platform: water sensing + camera surveillance + power control) |
For technical and impact details, see "Completed R&D Results" below and Technology Transfer & Impact.
Completed R&D Results
Technology and Impact of Three Completed Projects
All figures below are taken from each project's approved closing or final benefit reports and represent actual verified results.
Completed · all 9 required quantitative targets met
Smart Fish · Smart Aquaculture Solution
FY113 Digital Cloud Service R&D Grant (DIGITAL+ Thematic) | Administration for Digital Industries, MODA
15farms
Farms deployed
494.9×10k NTD
Annual revenue or partnership agreements (target NT$4.5M)
90%
Customer satisfaction and retention
4sessions
Promotion events and training sessions
Deployment Sites
- Hsinchu: Zhubei 8, Jianshi 2, Xiangshan 1, Hengshan 1
- Tainan: Qigu 2, Jiali 1
- Species: grey mullet 9, white shrimp 2, cold-water fish 2, grouper 1, polyculture 1
Technical Highlights
- Multimodal sensing integrating water quality monitoring, water treatment, on-site surveillance and remote power control
- Edge inference on-site with remote management of equipment across sites
- Remote software updates and maintenance without site visits
- Passed cybersecurity vulnerability scan assessment
Required Quantitative Targets
- Deploy at 15 farms — met
- Farmer-surveyed benefit of NT$300k — met
- NT$1M increase in tangible/intangible assets or new investment — met
- Annual revenue or signed agreements NT$4.949M — exceeded target by NT$449k
- Satisfaction survey of 16 customers at 90% — 6 more than target
- Post-training usage 90%, retention above 90% — met
- 1 overseas MOU, NT$100k in new overseas orders — met
- 15 software service letters of intent signed — met
Completed · technology transferred
Applying AR and AIoT ICT to Aquaculture Site Management
112 Agri-Sci-1.5.1-Aqua-A1 | Commissioned research, Fisheries Research Institute, MOA (FY112–113)
1item
Technology transfer completed
15×10k NTD
Technology transfer licensing fee
1item
Utility model patent applications
20people
Professionals trained
Technical Outcomes
- Integrated IoT environmental sensing with AR visual aids for farm work guidance audits and remote video technical guidance
- Combined AR imagery with water color, water quality and micro-weather sensing to build AI numerical models with early warning
- Low-cost environmental IoT sensors for on-site monitoring, saving labor and energy
- Extended APIs to the aquaculture expert system and integrated a LINE bot for real-time remote management guidance
Outputs and Outreach
- Utility model patent filed: remote video consulting system for aquaculture integrating AR and IoT
- 2 technical reports, 1 domestic journal paper, 2 training/outreach publications
- 3 professional training sessions (Pingtung, Zhubei, Changhua), 20 people trained
- 1 domestic promotion event, 2 seminars and keynote talks
Completed · 100% test pass rate
Golden clam processing and sorting equipment R&D
FY113 Agricultural Industry R&D | Demo site: Lichuan Fish Farm processing plant, Hualien
99.7%
Sorting yield (920 clams / 3 stones)
6kg/min
Throughput (target 5 kg/min)
100%
All 31 tests passed
-43%
Visual inspection staff (7 → 4)
Core Technology: Hydraulic Sorting
- Uses density differences between objects, controlling flow velocity to set drift and settling positions
- Water-flow sorter with feed-in and discharge conveyors separates clams from debris automatically
- Anti-corrosion enclosure prevents leakage and protects internal mechanical parts
Validation and Extension
- Unit tests (16 days) and on-site final tests (7 days), 31 items each, 100% pass rate
- After automating sorting, final visual inspection staff dropped from 7 to 4
- Extendable to hard clams and other shellfish, and to any density-based sorting application
Ongoing Projects
Projects Still Running
These projects are not yet closed; only technical direction and roles are listed. Impact figures will be published after closing approval.
In progress
FY115 MOA AI Empowerment Industry Participation Program
AI vision and AIoT sensing rollout · 6 participating businesses
- Centered on the intelligent aquaculture system and fish/shrimp counter
- Covering agriculture, fisheries and livestock sites
In progress
MOA Industry R&D: Nutrient-Water Farming
Natural feed for clam farming · circulating nutrient solution from rendering by-products
- Developing a circulating algal nutrient solution from rendering by-products to build a cross-industry resource loop
- Machine-learning algae growth prediction and anomaly early warning
- Lightweight language model to lower the barrier for farmers interpreting data
In progress
FY114 Yunlin County Smart Aquaculture Innovation Grant
Smart farming war-room demo site
- Visualization platform integrating water sensing, camera surveillance and power control
- AIoT water sensor network covering DO, pH, salinity, temperature, ammonia, nitrite and ORP
- Automated traceability module logging water quality, feeding and disinfection records in real time
In progress
FY114 Agricultural Digital Tool Customization Program
Taiwan Institute of Economic Research · 12 agribusinesses participating
- Machine-learning models for optimal water parameters and disease risk levels
- Models transferable across species and sites
Product Brochures
Four Brochures, Ready to Download
Official brochure images for each product — open and save directly for proposals, trade shows or grant attachments.
Where Would You Like to Start?
Tell us your species, number of ponds and the problem you most want to solve — we'll help set the rollout order and budget tier.
Contact Us / Request a Quote