In modern aquaculture, data accuracy is everything. But there’s one process that remains surprisingly outdated, imprecise, and time-consuming: counting fish fry.
From family-run fish farms to commercial hatcheries, many aquaculture operations still rely on manual methods to estimate the number of juvenile fish during stocking, sales, or transfer. But what if the problem isn’t just inefficiency — what if manual counting is quietly costing you growth, survival, and profit?
The Hidden Cost of Traditional Counting Methods
For decades, aquaculture has depended on two primary methods to count fish fry:
- Bulk Weighing: Weighing a portion of fry, estimating an average, then scaling it up.
- Bag Sampling or Manual Estimation: Counting fry in small bags or tanks and extrapolating.
While these seem “good enough,” they introduce significant challenges:
naccuracy
Manual estimates often vary by 10–20% — enough to skew feed planning, stocking density, and sales invoicing.
Stress & Mortality
Handling, dewatering, or crowding during manual counting causes stress and injury, especially in fragile fry like catfish, loach, or bass. This impacts survival and long-term growth.
Labor Intensive
Manual counting is slow and requires skilled labor, especially for species where sizes vary from 3 to 15 cm.
No Traceable Records
Without automated data logs, farmers and hatcheries struggle to provide reliable traceability in a growing market that increasingly demands transparency.
Aquaculture Is Getting Smarter — Why Counting Should Too
Over the last 10 years, aquaculture has made huge strides in:
- Automated feeding systems
- Water quality sensors
- Cloud-based farm management
Yet fry counting remains stuck in manual mode. The irony? Fry counting is one of the most frequent and labor-intensive tasks in the hatchery workflow.
Isn’t it time this changed?
A Smarter Solution: The Fordy AI Auto Fish Counter
To solve these challenges, we built the Fordy Auto Fish Counter — an AI-powered, non-invasive, high-speed solution to fry counting. Designed by aquaculture specialists and AI engineers, it tackles every limitation of traditional methods.
???? How It Works:
- Real-time Image Capture – High-definition cameras record fry movement through a flow channel.
- AI Recognition – Proprietary algorithms identify and count each fish, even in high-speed flows.
- Instant Output – Touchscreen displays real-time counts, with full data logs stored locally or in the cloud.
It’s not just automation — it’s intelligent automation built for aquaculture.
From Cost Center to Competitive Advantage
The Fordy counter isn’t just a tool — it’s a business advantage. Here’s why:
| Benefit | Impact |
|---|---|
| ✅ Accuracy above 98% | Trust your numbers — no more guesswork |
| ✅ Non-destructive counting | Higher survival rates, especially for small fry |
| ✅ Fast throughput | Up to 200,000 fry/hour for larger models |
| ✅ Species adaptability | Works with tilapia, catfish, eels, loaches, bass, and even tadpoles or turtles |
| ✅ Traceable records | Automatically store and export counting history for contracts or audits |
Real Results in the Field
One of our clients — a tilapia hatchery in Southeast Asia — used to employ three staff for 4–5 hours per shipment, often undercounting or overcounting batches by up to 15%.
After switching to the KY-EFC360 model:
- Counting time dropped by 80%
- Human error was eliminated
- Fry survival rates improved noticeably
- The farm gained buyer confidence with transparent, printable count records
Three Models, One Goal: Precise Counting
| Model | Fry Size | Typical Use |
|---|---|---|
| FC300mini | 1–5 cm | Tadpoles, tiny hatchlings |
| FC360 | 3–13 cm | Tilapia, bass, catfish, eels |
| FC600 | 5–20 cm | Advanced fingerlings, koi, large species |
No matter your target species or operation scale, there’s a Fordy counter that fits.
Case Study: A Tilapia Hatchery in Guangdong, China
Mr. Liu runs a medium-sized tilapia hatchery in Guangdong Province, with annual production exceeding 20 million fry. For years, his team relied on manual weighing and visual estimation to calculate the number of fry delivered to customers.
“We used to count 100 grams, then estimate by average weight. It sounds scientific, but in practice, errors were huge. Some batches had 10% more or less than expected — buyers weren’t happy,” said Mr. Liu.
The Challenge:
- Under-counting led to lost customer trust
- Over-counting meant giving away thousands of fry for free
- Manual counting required 3 workers for 4 hours per shipment
- No data records to back up transactions
In early 2024, Mr. Liu upgraded to the Fordy Auto Fish Counter.
The Results:
- Labor dropped to 1
- Average counting time per batch dropped from 4 hours to under 40 minutes
- Accuracy improved to above 98.5%, confirmed through random re-checks
- Buyers received digital reports, increasing transparency and long-term business confidence
- Fry mortality decreased, as no dewatering or handling was needed
“Now we send every shipment with a count report. Our buyers love it. It feels like a new era of professionalism,” Mr. Liu told us.
The Future of Aquaculture Counting Is Here
As fish farming enters the era of data-driven precision, sticking with outdated counting methods could mean lost revenue, higher mortality, and poor credibility.
Investing in AI-powered counting is more than just saving time — it’s ensuring accuracy, protecting your fry, and preparing your business for the future.
???? Explore Fordy Auto Fish Counter Models
???? Request a Quote or Demo
Final Thought
Manual counting methods had their place — but modern aquaculture needs tools that match the speed, precision, and transparency today’s markets demand.
With the Fordy Auto Fish Counter, you’re not just counting fish. You’re counting on innovation.
