Smart collar design to predict cow behavior

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Productivity from agriculture and farming is one major to drive Thailand's economy. Low price sensors and easy to make the Internet of Thing devices for making the data collector applied in various fields such as industry, communication, and transportation. However, smart application in agriculture does not apply widespread usage. This research proposed the detail design of the smart cow collar to use monitoring cow healthy. Data of walking and scraping of the cow sent to collect on the server and report to the user known the cow healthy by relating to the behavior. The purpose of the device helps the cow keeper reducing the monitoring of cow behaviors and it can predict illness and vital of the cow occurring in the future. For predicting part, design by the data from the gyroscopes after preparing send to Hidden Markov Models to predict cow behavior, however, this paper mainly focuses on the detail building the cow collar and creating the prototype device, then testing on the real environment.

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Behavior analysis, Hidden Markov Models, Internet of Things, Prediction, Smart farm

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Jcsse 2020 17th International Joint Conference on Computer Science and Software Engineering, 92-97, 2020

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