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Aquaculture

Shrimp Survival Rate Up 13% Through 24/7 Multi-Parameter Monitoring

Pond Aquaculture · Hainan, China

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The Challenge

A large-scale marine shrimp farming base operating over 500 acres and 20 ponds faced repeated water quality crises under high-density farming conditions. Manual testing once or twice daily using test strips could not capture overnight dissolved oxygen crashes or sudden ammonia spikes from residual feed decomposition. With 6 workers required for shift-based inspections across 20 ponds, labor costs were high and data remained fragmented — feeding and water exchange decisions relied entirely on operator experience, leading to resource waste and extended farming cycles.

The Solution

Linksens deployed a multi-parameter intelligent monitoring system across all 20 ponds. Each pond was equipped with the S-DO011 Dissolved Oxygen Sensor, S-NH134 Ammonia Nitrogen Sensor, and Digital NH4+/pH/ORP/K+ 3-in-1 Combo Sensor, providing continuous 24/7 monitoring of the parameters most directly linked to shrimp survival. Sensors feature anti-biofouling coating and corrosion-resistant housing for long-term underwater operation in high-salinity conditions, with only monthly cleaning required.


Data is transmitted in real time to a cloud-based aquaculture management platform accessible via mobile app. When dissolved oxygen drops below 5 mg/L or ammonia nitrogen exceeds 0.5 mg/L, the system automatically triggers alerts and activates aerators and water exchange valves — forming a closed-loop cycle of monitoring, warning, and response. The C-MT013 Water Quality Controller manages automated equipment integration across all pond sensors.

The Results

Metric Before After
Shrimp survival rate 82% 95%
Labor inspection costs Baseline ↓ 40%
Feed waste Baseline ↓ 15%
Water consumption Baseline ↓ 20%
Farming cycle length Baseline ↓ 8 days
Total output Baseline ↑ 25%

Since deployment, zero shrimp mortality events caused by water quality issues have occurred.

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Wastewater
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Aquaculture
A large-scale marine shrimp farming base operating over 500 acres and 20 ponds faced repeated water quality crises under high-density farming conditions. Manual testing once or twice daily using test strips could not capture overnight dissolved oxygen crashes or sudden ammonia spikes from residual feed decomposition. With 6 workers required for shift-based inspections across 20 ponds, labor costs were high and data remained fragmented — feeding and water exchange decisions relied entirely on operator experience, leading to resource waste and extended farming cycles.
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