[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.9708/jksci.2021.26.10.139

Cow Residual Feed Intake(RFI) monitoring and metabolic abnormality prediction system using wearable device for Milk cow and Beef

Chang, Jin-Wook (HRG Incorporated.)
Kwak, Ho-Young (Dept. of Computer Engineering, Jeju National University)

Publication Information

Journal of the Korea Society of Computer and Information / v.26, no.10, 2021 , pp. 139-145 More about this Journal

Abstract

In this paper, by using the cattle feed intake, rumination, and in heat monitoring technology, RFI (Residual Feed Intake) monitoring and wearable devices and PCs for predicting abnormalities in budding target web and smart A monitoring system using a phone application was designed and implemented. With the development of this system, the farmer is expected to increase economic efficiency. By analyzing the feed intake, it is possible to identify the difference between the recommended feed amount based on the cow's weight and the feed amount consumed by the cow, and it is expected that early detection of metabolic disorders (abnormality of metabolism) is possible. Farmers using the results of this thesis can distinguish the cows with the most efficient performance, and the 6-axis motion sensor signals input from the wearable device attached to the cow's skin (neck) and the microphone attached to the wearable device. It is possible to measure the cow's rumination and feed intake through the sound of the cow's throat. In the future, improvements will be made to measure additional vital signs such as heart rate and respiration.

Keywords

feed intake; rumination; estrus; smart farm; prevention;

Citations & Related Records

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