Aquaculture Farm
Farm Environmental Temperature & Humidity IoT Monitoring
Aquaculture Farm | Environmental Temperature & Humidity IoT Monitoring
Pain Points
Shed temperature/humidity relies on breeder inspections every 2 hours, with no monitoring during nighttime network outages. Environmental changes (e.g., nighttime cooling) detected only by breeder experience, average 15-min response lag. High risk of chick cold stress, traditional fixed-threshold false alarms frequent (30+ per day).
Implementation Plan
Monitoring Targets
Shed temperature, humidity, ammonia concentration, and fan operational cues
Pilot Scope
Multi-point deployment in a single shed to validate 4G upload and offline cache backfill
Tech Stack
Pilot Acceptance Criteria
- No data loss during nighttime network interruptions
- Environmental anomaly alerts reach breeders and farm managers
- Age-based thresholds reduce false-alarm frequency
Results
24 unitsConnected Devices
↓ 75%Inspection Reduced
Temperature fluctuation early warning 30 min in advance, preventing cold stress in an entire shed of chicksAdvance Warning
Environmental alerts from phone calls (avg. 15 min) → instant system pushResponse Time
Key Highlights
- 6 monitoring points per shed covering temperature, humidity, and ammonia
- Zero data loss with offline caching during nighttime network interruptions
- Day-age adaptive thresholds replace manual adjustment — 85% fewer false alarms
- Farm worker inspection frequency reduced from every 2 hours to 3 focused checks per day
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