Page 154 - AI for Good-Innovate for Impact Final Report 2024
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AI for Good-Innovate for Impact
Use case – 35: Empowering Childhood Nutrition: Enhancing
Poultry Product Quality and Availability via Farm Digitalization
Country: Rwanda
Organization: Carnegie Mellon University- Africa
Contact person: Semebia Wurah, swurah@ andrew .cmu .edu
Esther Mensah, emensah@ andrew .cmu .edu
35�1� Use case summary table
Domain Food
Problem to be Availability of quality poultry products for children's development, Nutri-
addressed tional deficiencies, especially in developing countries like Rwanda. There
are challenges in poultry farming such as disease outbreaks, heat stress,
theft, and predation
Key aspects of the Integrating sensor technology into poultry farming practices
solution Monitoring environmental parameters (temperature, humidity, ammonia
gas levels)
Capturing and analyzing chicken sounds for early detection of threats
and health monitoring
Leveraging data-driven predictions and machine learning algorithms
Providing alert notifications to farmers for timely interventions
Technology • Sensor technology
keywords • Environmental monitoring
• Audio analysis
• Machine learning
• Predictive modeling
• Alert system
Data Availability Open-source chicken language datasets (GitHub repositories)
Kaggle
both Private and Public
Metasdata(type • Temperature data
of data) • Humidity data
• Ammonia gas content data
• Chicken sound recordings
Model training Classification for chiken sounds and
and fine-tuning Prediction model for chicken diseases
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