Algapro™ revolutionizes traditional phytoplankton monitoring approaches and integrates deep learning and state-of-the-art algorithm to automatically detect different phytoplankton. Regular phytoplankton monitoring is important to diagnose the water quality and aquatic ecosystem’s health to protect against Harmful Algal Blooms (HABs), enabling safe water for everyone.

Large Scale Phytoplankton Monitoring

ZWEEC’s proprietary phytoplankton detection technology enables phytoplankton monitoring at large scale and high frequency to protect water resources from algae contamination by breaking the limitations of professional manpower resources, relieving experts from labour-intensive manual microscopic examination.


High Processing Speed and Capacity
15 units of water samples in 6 hours (4X time and cost savings compared to existing methods)


High Accuracy
More than 80% accuracy in recognizing the genera of Phytoplankton; provides accurate analysis of multiple parameters, such as algae type, proportion, quantity and density


Fully Automated System
Simplifies sample preparation and loading process; overcomes manpower constraints


Deep Learning Algorithm
System developed based on integration of Deep Learning capabilities with expert knowledge

ZWEEC’s fully automated phytoplankton identification and counting technology has been adopted by Singapore’s National Water Agency, PUB and the Yangtze River Authority (Yangtze River Monitoring and Scientific Research Centre).

The Yangtze River Authority has recently published a report on this breakthrough technology in a news report.

You can read more at the following link:


View of System Dashboard

Real-time analysis and computation of phytoplankton identification, differentiation, and count.