An Intelligent Poultry Farm Management System Using Iot And Cloud Based Data Analytics

This paper presents the design and implementation of a smart environmental monitoring and control system using the Raspberry Pi Pico W microcontroller. The proposed architecture integrates multiple sensors—including temperature and humidity, gas level, water level, and feeder level—to continuously monitor ambient conditions. A forecasting module enhances system intelligence by predicting short-term environmental trends based on real-time data. The Raspberry Pi Pico W processes sensor inputs and communicates wirelessly with a cloud database, enabling remote access via mobile or desktop interfaces. Relay-controlled actuators such as a heater, cooling fan, exhaust fan, water pump, and servo motor respond dynamically to sensor thresholds, ensuring automated regulation of the environment. The system demonstrates a scalable and cost-effective solution for applications in smart agriculture, pet care, and automated home ecosystems. Experimental results validate the system's responsiveness and reliability, highlighting its potential for real-world deployment in IoT-based automation frameworks.