Cattle Monitoring System

Author(s)	Marina Gansi, Ruja Bhatta, Er. Shrawan Thakur
Country	Nepal
Abstract	The Internet of Things (IoT) has become one of the solutions to low agricultural and livestock efficiency and productivity. In this paper, a gyro sensor integration system was created in the context of cow behavior monitoring and milk productivity optimization. The goals and benchmarks for studying cow behavior and increasing milk yield were established. The machine learning models' insights and predictions were rigorously investigated to find patterns and trends in cow behavior. The categorization of the behaviors shown by cows is the primary emphasis of this research. The research focuses on biosensors and wearable technologies with the potential to enhance operations, management, and early illness detection in cattle. There is a need for detection technologies that can foresee possible consequences for a particular population, educate on diagnostic and treatment choices, and predict when and in what group an event is likely to occur.
Keywords	data,anlaysis,treatment,cattle,behaviour,health,growth
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 5, Issue 6, November-December 2023
Published On	2023-12-14
Cite This	Cattle Monitoring System - Marina Gansi, Ruja Bhatta, Er. Shrawan Thakur - IJFMR Volume 5, Issue 6, November-December 2023. DOI 10.36948/ijfmr.2023.v05i06.8423
DOI	https://doi.org/10.36948/ijfmr.2023.v05i06.8423
Short DOI	https://doi.org/gs84c7

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