How does the catch prediction work?

Our model combines real-time weather conditions (pressure, temperature, wind), moon phase, and historical catch patterns to predict how likely each species is to bite today.

What data sources does Fishing Intelligence use?

We combine water quality data from Rijkswaterstaat, weather from KNMI and Open-Meteo, biodiversity records from GBIF, and species metadata from the Dutch Species Register.

How does the ecosystem analysis work?

We analyze the complete aquatic food web at each location: water chemistry, macro-invertebrate populations, algae blooms, Shannon diversity index, and cyanobacteria risk levels.

How It Works — Fishing Intelligence

Item: VisScanner
Author: Joshua Rijnhart

DATA AGGREGATION

Public Datasets. One Unified View.

Rijkswaterstaat

Water quality measurements from 100+ monitoring stations across Dutch waterways. Temperature, dissolved oxygen, salinity, turbidity, nitrogen, phosphorus.

KNMI / Open-Meteo

Real-time and historical weather data: air pressure trends, temperature, wind speed, precipitation. Updated every hour for live conditions.

GBIF

Global Biodiversity records: species occurrence data with precise GPS coordinates and timestamps. Millions of observations across the Netherlands.

Dutch Species Register

Authoritative species metadata: Dutch names, families, fishing seasons, legal regulations, and ecological habitat preferences.

Dataset citations

Sportvisserij Nederland (2024). SVN Piscaria — Vangstregistratie 1994–2024. doi:10.15468/3wpqcz
Sportvisserij Nederland (2024). Dutch Anglers 1994–2024. doi:10.15468/4jkwnw
RAVON (2024). Freshwater Fish Monitoring Netherlands. doi:10.15468/tphmcf
STOWA (2024). Limnodata Neerlandica. doi:10.15468/ennulm
Observation.org (2024). Nature data from around the World. doi:10.15468/5nilie
Dutch Species Register (2024). doi:10.15468/rjdpzy

Weather data by Open-Meteo.com · Topographic data: Kadaster / PDOK · Water quality: Rijkswaterstaat

THE FOOD WEB

From Algae to Apex. Every Link Tracked.

Phytoplankton

Scenedesmaceae

Fragilariaceae

Chlorellaceae

Invertebrates

Chironomidae

Gammaridae

Baetidae

Prey Fish

Gudgeon

Common Dace

Stickleback

Apex Predators

Perch

Catfish

Brown Trout

We track every organism family from phytoplankton to apex predators. When prey populations shift, the system detects the ripple effect on fish catches.

ECOSYSTEM ANALYSIS

Every Layer of the Ecosystem. Measured.

From water chemistry to macro-invertebrate populations to algae blooms — we analyze the complete aquatic food web at each location across the Netherlands.

Water Temperature 14.2°C

Dissolved Oxygen 8.7 mg/L

Chironomidae HIGH

Cyanobacteria Risk LOW

Shannon Diversity 2.41

Aquatic Plants 12 families

BEST SPOTS MODEL

Where Do They Bite?

Scores every area in the Netherlands based on real catch records, ecosystem health, prey availability, and water body type. Rankings are validated against actual angler results and updated nightly.

48 species

~5km grid resolution

nightly updates

Pike (Esox lucius) — Top Spots

1 Friese Meren

92

2 Biesbosch

85

3 Reeuwijkse Plassen

78

CATCH PREDICTION MODEL

Will They Bite Today?

AI models predict daily catch probability for each species. Trained on years of real catch data and validated against catches the model has never seen — so you know the predictions hold up in the real world.

39 species

7 day forecast

real-time weather data

Pike-perch — This Week

Mon ☀️ 82

Tue ⛅ 71

Wed 🌧️ 45

Thu 🌤️ 68

Fri ☀️ 77

Tench — Habitat Suitability

92%

78%

45%

85%

61%

34%

71%

88%

52%

67%

41%

79%

56%

93%

38%

74%

HABITAT MODEL

Where Could They Live?

Machine learning models analyze hundreds of environmental factors — water quality, organisms, aquatic plants, ecosystem health — to predict which species could thrive at each location. Every prediction is validated against real-world observations the model was never trained on.

47 species

hundreds of features

validated predictions

Water Temp Dissolved O₂ Chironomidae Aquatic Plants Prey Fish Water Body Type

TROPHY SIZE MODEL

Where Do They Grow Big?

AI models trained on real fish measurements predict which locations produce the largest specimens. Linked to environmental conditions and validated against held-out data — find where the trophies actually are.

40 species

real measurements

validated accuracy

Carp — Size by Location

Vinkeveense Plassen

88 cm

Maas bij Grave

76 cm

IJsselmeer

65 cm

SPECIES & MODELS

48 Species. Four AI Models. Individually Trained.

Each species gets its own set of AI models, trained on real catch and measurement data.

Best Spots

48 species

Catch Prediction

39 species

Habitat

47 species

Trophy Size

40 species

Free

Explorer

Specialist

A REAL CATCH

From Prediction to Catch.

Early April 2026 — VisScanner flagged one day as the best and one species as most active. This is what actually happened.

Joshua Rijnhart with the carp caught at Westzaan on 6 April 2026 — **Joshua Rijnhart** Westzaan · April 6, 2026

"I didn't know when to go for my first carp of the season. VisScanner picked Monday 6 April as best day of the week, with 1.8× Carp Activity in Westzaan. I went — first bite, landed. Honestly stunned by how accurate this is."
— Joshua Rijnhart

What VisScanner showed that week

Sat

Apr 4

🌦️

14°9°

💨 28 km/h💧 3 mm

29

Poor

Sun

Apr 5

🌦️

13°7°

💨 29 km/h💧 1.4 mm

24

Poor

Best Day

Mon

Apr 6

⛅

13°4°

💨 11 km/h💧 0.0 mm

28

Poor

Carp 1.8×

All three days scored "Poor" on general conditions (wind, rain). But the per-species model found that on 6 April, carp activity rose 1.8× above baseline — a signal an overall weather score alone would miss. That's the value of a model trained per species.