Taxa catalogue
A searchable, filterable species reference — habitat, season, substrate, spore print, bruising reaction, and dangerous look-alikes for each taxon.
Habitat · Season · Spore printMyceliyum fuses five live data sources — a curated species catalogue, iNaturalist observations, Open-Meteo weather, Google place-search and Earth Engine satellite layers (land cover, tree-canopy %, NDVI) — into a grid model that scores where fungi are likely fruiting. Quality first: every signal that drives a flush, on every cell.
Six instruments, one field terminal. Quality first — every signal that drives a flush, fused on-device.
A searchable, filterable species reference — habitat, season, substrate, spore print, bruising reaction, and dangerous look-alikes for each taxon.
Habitat · Season · Spore printA grid model scores fruiting likelihood across ten weighted signals — satellite land cover, tree-canopy and NDVI fused with rainfall, soil, terrain and the species' seasonal window.
10 signals · Grid scoringLive Earth Engine environmental data per grid cell — ESA land cover, Hansen tree-canopy % and Sentinel-2 NDVI greenness at 30-metre resolution. Real forest, not a guess.
Land cover · Canopy · NDVIType any place name and Google geocoding drops your grid station there — or auto-centre on your GPS fix. Scout a forest before you ever set foot in it.
Geocoding · GPS centreLog finds with a real camera voucher photo, GPS fix and field notes. Keep entries yours, then export the whole logbook to CSV whenever you like.
Photo · GPS · CSV exportFetched satellite layers, weather and your logbook cache to a local database — so the last sweep, the catalogue and your records keep working when reception drops out.
Room cache · ResilientThe model sweeps a grid around your station and weights ten signals that drive a flush — satellite land cover, canopy and NDVI alongside weather, soil, terrain and season — then paints the cells most worth walking.
Field-grade reference cards for notable wild fungi — the spectacular, the toxic, and the invasive. Bundled and fully offline.
Every sweep runs the same three-stage chain — pull the signals, weight them into a per-cell score, then paint what's worth walking. Cloud-computed where it counts, cached on-device so a dropped signal never stops the sweep.
Five live sources gather data for the grid around your station on every sweep.
The engine blends ten weighted signals into a fruiting probability for every grid cell.
Scored zones light up the scope; your finds log right alongside them, ready to export.
Drop your email for build releases, new taxa added to the catalogue, and the first signal when the fruiting season kicks off in your region. No spam — just field dispatches.
Install the latest build straight onto your device, or clone the repo and compile it yourself with the bundled Gradle wrapper. Satellite layers stream from a hosted backend; everything else caches on-device for the field.
./gradlew assembleDebug
Copy
Outputs app-debug.apk · Requires Android Studio or SDK + JDK 17 · Debug-signed builds install directly for field testing