IoT based water quality monitoring

  • IoT Platform

    Our cloud-based solution is the center of the IPMS (Integrated Platform Management System). It takes care of devices, their connectivity, management, security, data storage and analytics.

  • Customizable hardware

    Our in-house developed hardware system delivers maximum customization tailored to our clients, depending on the scale, use case, and government regulation. System configurations can also be updated remotely to eliminate unnecessary field work after deployment.

  • Dashboard + Mobile app

    The information collected by gateway from the sensors can be analyzed in the web application dashboard and mobile app. Our system enables the management of multiple fishponds on a single mobile device.

  • Solar Integration

    Power availability is an issue at most of the pond locations. Therefore, we have introduced the solar option for battery charging with a low battery/power management system introduced at both hardware & software levels.

    Though aquaculture relies on large quantities of electricity, renewable energy sources enhance the industry's sustainability. We can significantly reduce greenhouse gas emissions and water pollution when using solar and wind power.

  • Data Storage

    Built-in storage facility helps to store data locally in case there is network outage. Data is sent to the cloud when the network resumes.

AI Data Analysis Platform

  • AI-based Insights

    We use artificial intelligence (AI) to give actionable insights. By monitoring any deviations and abnormalities, our solution helps you to manage your fish farm more efficiently, along with increasing profits.

  • Aggregate Data

    Our software aggregates all the existing data from water monitoring sensors and carefully extract relevant information in real-time for analysis.

  • Alerts & Notifications

    Our AI monitors the entire site, learns pond behavior, and informs the farmer via our mobile App and dashboard when abnormalities are found.

  • Adaptive Machine Learning

    With substantial data sets, our AI system adaptively learns about the factors which contribute to productivity, such as survival rate and usage of electricity.

Realtime aquaculture management at your fingertips