Smart CAGE Automated Poultry Health Monitoring and Disease Detection Using IOT and AI

SmartCAGE is an AI- and IoT-enabled system developed for effective poultry disease detection and environmental monitoring. At its core, a Raspberry Pi 4 integrated with a Pi camera and OpenCV enables accurate cage identification through QR code scanning. An MQ-137 ammonia sensor provides real-time air quality data, ensuring a healthy poultry environment. A CNN-based model, trained on visual and behavioral data, classifies chicken health into categories including Coccidiosis, Salmonellosis, Newcastle Disease, and Healthy. Wireless data communication is handled by an ESP8266 microcontroller for seamless connectivity between components. SmartCAGE improves operational efficiency by automating disease detection and environmental monitoring, minimizing manual intervention. Its fast, accurate analysis enables early intervention, reducing mortality and boosting productivity. By combining AI diagnostics with IoT hardware, SmartCAGE provides a scalable, cost-effective solution to enhance poultry welfare and farm management.

Authors

Institutions

Publication Details

Journal
International Research Journal on Advanced Engineering Hub (IRJAEH)
Published
2025-04-16
DOI
https://doi.org/10.47392/irjaeh.2025.0197
Primary Topic
Food Supply Chain Traceability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Smart CAGE Automated Poultry Health Monitoring and Disease Detection Using IOT and AI

Syed Shujauddin Sameer, S. Sadhish Prabhu, Mohammed Furkhan, N. Noufar Akthar
International Research Journal on Advanced Engineering Hub (IRJAEH)
Food Supply Chain Traceability
article

Smart CAGE Automated Poultry Health Monitoring and Disease Detection Using IOT and AI

Syed Shujauddin Sameer, S. Sadhish Prabhu, Mohammed Furkhan, N. Noufar Akthar
article en

Abstract

SmartCAGE is an AI- and IoT-enabled system developed for effective poultry disease detection and environmental monitoring. At its core, a Raspberry Pi 4 integrated with a Pi camera and OpenCV enables accurate cage identification through QR code scanning. An MQ-137 ammonia sensor provides real-time air quality data, ensuring a healthy poultry environment. A CNN-based model, trained on visual and behavioral data, classifies chicken health into categories including Coccidiosis, Salmonellosis, Newcastle Disease, and Healthy. Wireless data communication is handled by an ESP8266 microcontroller for seamless connectivity between components. SmartCAGE improves operational efficiency by automating disease detection and environmental monitoring, minimizing manual intervention. Its fast, accurate analysis enables early intervention, reducing mortality and boosting productivity. By combining AI diagnostics with IoT hardware, SmartCAGE provides a scalable, cost-effective solution to enhance poultry welfare and farm management.

International Research Journal on Advanced Engineering Hub (IRJAEH)Vol. 3(04)
B.S. Abdur Rahman Crescent Institute of Science & Technology (IN)
Openalex Percentile: Top 90%
Food Supply Chain Traceability
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Smart CAGE Automated Poultry Health Monitoring and Disease Detection Using IOT and AI — Syed Shujauddin Sameer, S. Sadhish Prabhu, et al. · International Research Journal on Advanced Engineering Hub (IRJAEH) (2025) | TGRS Research Map | TGRS