Sensor and Computer Vision Based Cattle Health Monitoring and Management
| International Journal of Electrical and Electronics Engineering |
| © 2025 by SSRG - IJEEE Journal |
| Volume 12 Issue 1 |
| Year of Publication : 2025 |
| Authors : Devendra Singh, Rajesh Singh, Anita Gehlot, Gaurav Bhandari, Atulya Verma, Pavan Gangwar, Purnendu Shekhar Pandey |
10.14445/23488379/IJEEE-V12I1P109
How to Cite?
Devendra Singh, Rajesh Singh, Anita Gehlot, Gaurav Bhandari, Atulya Verma, Pavan Gangwar, Purnendu Shekhar Pandey, "Sensor and Computer Vision Based Cattle Health Monitoring and Management," SSRG International Journal of Electrical and Electronics Engineering, vol. 12, no. 1, pp. 94-103, 2025. Crossref, https://doi.org/10.14445/23488379/IJEEE-V12I1P109
Abstract:
As part of its efforts to achieve the Sustainable Development Goals by 2030, the United Nations promotes sustainable farming. Though there are complications with real-world deployment, autonomous farming is being explored within the context of edge computing. Automation and smart farming practices could boost farmer efficiency, sustainability, and the well-being of livestock. These advancements minimize costs, eliminate laborious processes, and elevate product quality. Wearable sensors gauge animal behavior, emphasizing the significance of impeccable remote data sharing in this expanding business. Global population growth is driving an evolution toward intelligent farming to address food security and resource constraints. IoT and data analytics optimize farming productivity by substituting outdated wireless sensor networks. IoT effortlessly incorporates technologies like WSN, RFID, and cloud computing. ZigBee technology finds application in livestock health monitoring systems, where sensors measuring heart rate, temperature, pulse rate, and respiration are included. These sensors have connectivity to a Graphical User Interface (GUI) to improve livestock wellness tracking. The advantages of cloud computing encompass exceptionally low latency, bandwidth optimization, assurance, and real-time analytics. This article examines Computer Vision and sensor-based technologies in intelligent agriculture.
Keywords:
Sustainable development, Intelligent agribusiness, Livestock management, Wearable sensors, Computer Vision.
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