AI for Invasive Species Monitoring & Biosecurity

Deploy CV, eDNA, and geospatial analytics to detect invasive species early, prioritize response, and protect ecosystems and agriculture.

Invasive species damage ecosystems, crops, and infrastructure. AI enables earlier detection via imagery, acoustic sensors, and eDNA, fusing signals to guide rapid response. Outcomes: reduced spread, lower control costs, and better biosecurity compliance.

Inspection targeting at borders/ports of entry.

Rapid delimitation surveys; tasking UAV/crews.

Treatment planning (mechanical/chemical/biocontrol).

live demo · related simulation● LIVE

Quality checks: geo/time alignment, noise filters.

Sample lineage and chain-of-custody for eDNA.

Detection models (CV/acoustic) with active learning.

Frequently asked questions

What types of data can be ingested into the Baseline detection models on key species?

Baseline detection models on key species; ingest imagery/eDNA.

How does the hotspot mapping feature prioritize survey efforts?

Deploy hotspot maps; prioritize surveys; active learning loops.

What functionalities are included in the mobile field app for data collection?

Launch mobile field app with offline capture and evidence sync.

What additional analysis capabilities are available within the simulation module?

Add spread simulation and pathway analysis; border targeting.

▶ Try it live

Everything above runs in your browser — open Hash Function Avalanche Visualizer and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open Hash Function Avalanche Visualizer simulation

AI for Invasive Species Monitoring & Biosecurity | ML Knowledge Hub