Take pro-active measures instead of reactive for the problems in your ponds. cFog provides an array of parameters to let you know the present and future water quality of your pond. With cFog Pond automation unit you can setup alerts customized for your needs
The Return of Investment of aquaFog unit is between 3 to 6 months by helping to proactively measure your pond's current and future quality of water that enables increase in yield, savings from energy consumption.
No matter where ever you are or what culture you have you are always connected with your pond with live monitoring of parameters via dashboards and mobile apps to get valuable insights anytime, anywhere.
cFog is an autonomous secure edge device which means it can take decisions right when they are needed for optimizing and safeguarding your pond investment.
With cFog you can automate both the aerators and feeders across multiple ponds, resulting in better pond management and reduces your energy bills with huge margins.
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.
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.
cFog is a technology company helping to digitize non-carpeted environments with context-aware fog computing and machine learning capabilities.
cFog solution with context aware fog computing is focused on solving the practical problems. We have outdoor IP65(67) rated hardware that enables self-provisioning of the system through machine learning software and secure policy automation at the edge of the network.