Computational Intelligence based construction of a Body Condition Assessment system for cattle

Tedin, Rafael; Becerra, J. A.; Duro, Richard J.; Peña, Fernando López

doi:10.1109/civemsa.2013.6617418

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…The device registers the cow's jaw movements through a pressure sensor (Dinara, 2016). Automatic body condition of cattle was monitored using the pictures captured using normal hand held cameras (Tedın et al, 2013). A zig-bee-based animal health monitoring system was designed to monitor heart rate, body temperature, and rumination with surrounding temperature and humidity (Kumar and Hancke, 2014).…”

Section: Related Workmentioning

confidence: 99%

A Sensor-Based Forage Monitoring of Grazing Cattle in Dairy Farming

Jemila

Suja

2018

International Journal on Smart Sensing and Intelligent Systems

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In this proposed work, the feeding behavior of cow is analyzed to monitor its health condition, through the detection of three most common events of grazing activity such as chew, bite, and chewbite. A healthy cow should have a good means of chew, bite, and chew-bite habits. Hence, an unhealthy cow can be easily identified by its grazing activities and treated immediately. Here, a wearable and compact device is developed, which is used to monitor the grazing events. The device consists of Arduino uno, Accelerometer sensor, Wi-Fi module, and a battery for power supply. This helps the cattle owners to monitor the cattle condition at remote distance via wireless communication. The device was placed on 30 cows and 65 real-time datasets were recorded in which 30 datasets indicated bite event, 26 datasets indicated chew event and 14 datasets indicated chew-bite event and it was verified.

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Section: Related Workmentioning

confidence: 99%

A Sensor-Based Forage Monitoring of Grazing Cattle in Dairy Farming

Jemila

Suja

2018

International Journal on Smart Sensing and Intelligent Systems

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“…Ting et al (2007) designed RFID-based mobile monitoring system (RFID-MMS) to manage the animals in dynamic information retrieving, location tracking and behavior analyzing over a wireless network. Tedín et al (2013) describe a computational intelligence based automatic body conditioning system for cattle called automatic body condition assessment (ABiCA) which uses pictures captured from the camera. A rear end shape of animal is segmented through active shape model using an evolutionary algorithm.…”

Section: Introductionmentioning

confidence: 99%

Cloud IOT based novel livestock monitoring and identification system using UID

Kumarasamy

Saraniya

2018

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Purpose We propose cloud IoT based LMS (Livestock Management System) with three features. i) Animal healthcare monitoring and recording using IoT sensors via wearable collar, ii) Animal livestock identification using UID for animals (smart tag) and owners (smart card), iii) QR code reading, processing and display of the details in mobile via wireless technologies. Design/methodology/approach The developed animal monitoring device is used to detect animal physiological parameters such as body temperature; physical gestures like sitting, standing, eating and heartbeat, environmental parameters such as air temperature and relative humidity. Also, e-animal husbandry information network management system is the comprehensive web-based animal husbandry software designed for better interaction between veterinary hospital, veterinary doctor, owner, farmer and animal husbandry management. Findings Animal monitoring device mounted on the neck sense the values and predict the health status of the animal by using cloud IoT analytics platform. The accuracy of the system is 90 per cent and it can be well placed in the livestock environment. Research limitations/implications This research is carried out in livestock cows located in Tirunelveli district. The practical difficulty was in placing sensors on the animal. The digital feed from the farmers and the veterinary hospital is input in the animal husbandry management software. Practical implications The developed system can be implemented for monitoring the health status of the animal from anywhere using mobile applications. Also, the digitized animal information helps the government to take the right decisions on policies and fund allocation. Social implications The implemented system can be easily scaled up to large environments by using wireless communication and animal husbandry data will be available immediately. UID scheme for animals can uniquely identify the animal and its details. Originality/value The proposed work implements novel livestock monitoring and analytics system along with Aadhar (Unique ID) for animal. The proposed UID scheme is innovative and unique.

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Computational Intelligence based construction of a Body Condition Assessment system for cattle

Cited by 2 publications

References 13 publications

A Sensor-Based Forage Monitoring of Grazing Cattle in Dairy Farming

A Sensor-Based Forage Monitoring of Grazing Cattle in Dairy Farming

Cloud IOT based novel livestock monitoring and identification system using UID

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