How a leading Aquaculture Enterprise saved 6% on Energy and 25% on Maintenance Costs

Our client wanted an IoT solution to closely monitor the quality of water in their Aquaculture farm. Key water quality parameters that affect fishes’ health, quality and reproduction like pH, turbidity, conductivity, ammonia, and dissolved oxygen were measured oi real-time. With Datakrew’s innovative solution the client was able to make data driven decisions.

Our client is a prominent Aquaculture enterprise situated in Andhra Pradesh, overseeing a network of 50 farms. Each of these farms boasts a substantial Water Spread Area (WSA), covering a span of 0.2 hectares.

Farmed fishes are highly sensitive to fluctuations in water quality within Aquaculture ponds. Water quality parameters like pH, turbidity, conductivity, ammonia, and dissolved oxygen significantly affect the health, quality, and breeding of the fish.

Since our client did not use sensors in their Aquaculture farms they relied on visual inspection or lab tests to determine water quality. Lab analysis being time-consuming, they relied on periodically changing the water. This approach however substantially increased maintenance costs and power usage. Our client wanted real-time visibility of the water quality parameters and to cut down on maintenance costs.

Datakrew swiftly set up an IoT-based water monitoring system complete with submersible sensors within 30 hours. The sensors accurately monitored and assessed the quality of water in the aquaculture ponds. This IoT monitoring solution gathered real-time data on critical water quality parameters such as:

By using submersible water monitoring sensors water quality was continuously monitored. Critical water quality parameters such as pH, turbidity, conductivity, ammonia, and dissolved oxygen were noted in real-time to ensure optimum water quality. This helped the client in making data-backed decisions on when to change the water rather than relying on time-consuming lab tests and inaccurate visual inspections. With this approach, our client was able to considerably reduce energy usage and optimize maintenance costs.