• MRS T Ramya
• R Deepak Raj
• B Ramsurya
• P Surendranath

The poultry industry faces significant economic losses due to the delayed detection of diseases such as coccidiosis, salmonellosis, and Newcastle disease, which often rely on labor-intensive manual inspections. To address this challenge, this study proposes an integrated IoT and machine learning framework for real-time poultry health monitoring and disease prediction. The system combines IoT-enabled environmental sensing and CNN-based fecal image analysis to enable early disease detection. Temperature and humidity data are collected via ESP8266 modules and transmitted to the ThingSpeak platform, where a KNN algorithm identifies abnormal patterns indicative of disease outbreaks. Simultaneously, a convolutional neural network (CNN) processes fecal images using edge detection (Canny algorithm) and Gaussian blurring to classify disease-specific features, achieving 92% accuracy in identifying infections. The two-stream data is integrated into a unified interface (Flask web application and Tkinter GUI), providing farmers with real-time predictions, symptom descriptions, and remedial actions. Experimental results demonstrate the system’s ability to detect diseases 24–48 hours earlier than conventional methods, reducing mortality rates by 30% in field trials. By merging IoT sensor analytics with computer vision, this solution offers a scalable, cost-effective tool for proactive poultry health management, enhancing farm productivity and biosecurity.

Poultry Disease Prediction, Fecal Image Analysis, Convoultional Neural Network, K Nearest Algorithm, Real Time Temperature Monitoring, ESP8266 Microcontroller, ThingSpeak Platform, Coccidiosis, Salmonella, NewCastle Disease, Precison Livestock Farming

"Disease Prediction and Real Time Temperature Monitoring in Poultry Farms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 3, page no.e860-e866, March-2025, Available :http://www.jetir.org/papers/JETIR2503514.pdf

"Disease Prediction and Real Time Temperature Monitoring in Poultry Farms", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 3, page no. ppe860-e866, March-2025, Available at : http://www.jetir.org/papers/JETIR2503514.pdf