cFog Aqua provides an integrated approach to aqua farming. Our technology is cost-effective, simple, and augments your current aqua-farming setup. We use advances in edge computing, machine learning, and predictive analysis to collect data and to provide actionable insights into the pond health, and factors that can affect the yield.
The sensors monitor and collect the pond parameters. The collected data is then analyzed for parameters whose readings fall beyond the acceptable range. The cloud resources identify the parameters that are damaging to the pond’s ecosystem. These parameters are analyzed and correlated against the historical data, and a corrective action is suggested. The farmer is notified of the exception along with the corrective action via a SMS or a mobile app. As a result, farmer can take a proactive action before it is too late. Farmers can use the mobile app to report incidents and to log corrective actions they have taken.
Live monitoring of parameters via dashboards and mobile apps to get valuable insights anytime, anywhere.
Highly adaptive system leveraging statistical algorithms, machine learning, and historical data.
Our patent-pending technology enables devices to be accurate for an extended duration before they need to be manually cleaned.
The data collected by the sensors is correlated against historical data vetted by the experts to provide actionable insights.