Industry

Livestock Production (Poultry)

The Problem

The 65,000 poultry farmers in the US face the daily challenge of maintaining optimal environmental conditions within their houses to ensure flock health and productivity. This critical task traditionally relies on multiple manual walk-throughs each day, a labor-intensive process that can consume up to 30% of a farmer's daily working hours. This reactive approach not only drains time but also risks missing subtle environmental shifts that can impact flock comfort and growth.

The Solutions

We deployed an AI-powered decision support system to automate and optimize environmental monitoring. The solution begins with rugged, IP68-rated sensors installed in each house to continuously track temperature, relative humidity, and ammonia levels. This data is transmitted via an RTU controller to the AWS cloud. There, an agentic AI solution analyzes the live in-house data against external weather conditions to proactively identify opportunities for adjustment. The system automatically sends email notifications to farmers if key thresholds are exceeded and provides intelligent recommendations, such as when to adjust ventilation, run fans, or alter lighting conditions.

Technologies Used

LangGraph
React/Next.js
Mistral 7B
AWS IoT Core
WLink

The Impact

The platform provided immediate operational efficiencies and a clear path to improved profitability.

  • Significant Time Savings: Farmers reclaimed 3-5 hours per week by reducing the need for constant physical inspections, allowing them to focus on other high-value management tasks.
  • Reduced Energy Costs: By optimizing the use of fans and heating based on real-time data, the system delivered an average of 4% in energy savings.
  • Improved Flock Performance: Continuous optimal conditions are expected to lead to a measurable increase in the Feed Conversion Ratio (FCR), a key driver of farm profitability.
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