An IoT and Machine Learning Approach for Predicting Air Quality Parameters in Poultry Houses

Key Points

• Air quality parameters can be effectively predicted using machine learning techniques.
• The integration of IoT devices enhances the accuracy of environmental monitoring in poultry houses.
• Data from these systems can lead to better management of poultry health and productivity.
• Utilizing these technologies may significantly reduce risks related to air quality in farming.