SmartHub AQUA™ allows users to monitor and manage critical environmental conditions essential for optimal growth and yield of aquatic organisms. It provides real- time measurements of water quality parameters like oxygen, turbidity, temperature, pH levels, and alkalinity. It supports data transmission from far-flung ponds, fisheries and tanks to datacenter/cloud-based command centers, ensuring seamless operation whether deployed indoors and outdoors. Additionally, it features video analytics for predator and pest detection, enabling timely intervention to safeguard fish and aquatic stock from potential threats.

We offer advanced fish & aqua organism detection and classification capabilities. You can model & measure algorithms for fish abundance, growth patterns & trends over a period of time and across their lifecycle. Our ML models can analyze video feeds to detect abnormal behaviors in fish, such as erratic swimming patterns, which might indicate stress, disease, or poor water quality. By combination video analytics and ML algorithms, it classifies and measures fish in video feeds, providing accurate estimates of biomass and growth rates without the need for physical sampling. This enables optimized feeding strategies and better management of aquatic stocks.

Connect to ANY IoT sensor used in aquaculture industry to monitor and control sensor health, metrics and performance. Reduce your losses & impact on aqua organism by taking corrective actions and decisions, before it is too late. We support integrations with all the major data loggers & sensors like liquid temperature, oxygen, turbidity, Liquid pH, Liquid EC, Ammonium ion (NH4+) Sensor, Nitrate ion (NO3-) Sensor, COD Sensor, Solar Power Supply, underwater camera & LoRaWAN Gateways.

SmartHub AQUA™ supports data acquisition from various sources, sensors and data repositories across formats like CSV, JSON, XML for analytics & insights. It offers advanced data storage options and data cleansing. Using our analytics, analyze trends & historical data to predict future conditions, such as growth rates and water quality changes, enabling proactive management. Critical KPIs such as feed conversion ratios, survival rates, and growth rates, can be measured to optimize feeding strategies and improve overall productivity.