A Robotics-Based Surveillance System for Livestock Wellbeing and Early Disease Detection in Poultry Farms

Ensuring the welfare and health of livestock in poultry farms is paramount to maintain high-quality production and animal care standards. This project introduces an innovative Robotics-Based Surveillance System designed to enhance livestock wellbeing and early disease detection in poultry farming environments. Leveraging a combination of Arduino microcontrollers, environmental sensors (DHT11, gas sensor, LDR, ultrasonic sensor), an IP camera, motorized components, NodeMCU for IoT connectivity, and feedback devices like a buzzer and an LCD display, this system offers monitoring and automated responses to improve poultry farm management.

The system continuously collects critical data such as temperature, humidity, gas levels, and ambient light, to detect any deviations from optimal conditions. When anomalies indicative of potential health issues or distress in the flock are detected, the system triggers immediate responses. For instance, the IP camera captures images and video feeds for remote monitoring by farmers and veterinarians. Motors move towards animals. Additionally, the system can provide alerts through a buzzer and display information on an LCD screen for on-site personnel. The incorporation of NodeMCU allows for IoT integration, enabling remote monitoring and data analysis. This system aims to improve poultry farming practices by ensuring the welfare of the livestock and facilitating early disease detection, ultimately contributing to better production outcomes and animal care standards. Further research and field testing will be essential to validate its effectiveness in poultry farming environments.

Keywords: Arduino, NODEMCU, Alerts, IP camera