Abstract

Currently, advancements in farm automation and technological techniques contribute significantly to boosting farm productivity, with a notable focus on cattle health monitoring systems in research. This system encompasses infrastructure, hardware, and software components aimed at enhancing cattle health, crucial for overall farm productivity. Given the challenges posed by managing numerous cattle in dairy farms, continuous monitoring of individual health becomes imperative. Leveraging sensor technology to monitor vital signs such as temperature and heart rate allows for early detection of health issues, reducing the need for frequent health inspections and long-term healthcare costs for the animals.

Introduction

I. INTRODUCTION

Agriculture plays a vital role in the development of progressive countries, acting as their backbone. Nowadays, agriculture encompasses various activities like farming, forestry, dairy. Dairy farming has evolved globally, shifting towards large scale operations which focuses on maximising profits because of demand for milk products.This shift has led to a growing need for technologies, such as agricultural mechanization and sophisticated machinery.

Over the past twenty years, one significant area of  research in agricultural mechanization is the development of automated animal health monitoring systems. This paper focuses in the realm of cattle health monitoring, there’s a focus on affordable sensor Methodology. These sensors Identify abrupt changes in body parameters resembling thermal reading and pulse sensor. The collected data, accessed wirelessly through IOT technology, aids in the early detection of diseases in cattle.

II. LITERATURE SURVEY

1.  In 2001, a system was made to put animal information into a computer manually. It helped people find their animals using      electronic tags like collars and ear tags.
2. In 2003, a special unit called BMOO(Bovine Mobile Observation Operation Unit) was created to talk to sensors and send data to farmers and using Bluetooth.  It used tiny computers called microcontrollers to keep animals close together and stop diseases from spreading.
3. In 2012, a new way to watch over cow health was invented. It used small wireless sensors and smart algorithms to keep an eye on cow data without needing a lot of power.
4. In 2017, a system was developed for monitoring cattle health with temperature probes- LM35, heart rate sensor and motion sensor where the cattle health information is sent to nearby doctor directly.

III. PROBLEM MOTIVATION

Farmers face a challenge as they can’t monitor their cattle round the clock, and predicting health issues beforehand is tough. This can negatively impact the health of the cattle. Therefore, there is a need for an automatic health monitoring system that quickly and accurately records health parameters. This system ensures timely and proper treatment for the cattle.

IV. PROPOSED SYSTEM

For developing this livestock management system we used some IOT sensors like temperature sensor and pulse rate sensor.

A MongoDB database for storing the lively sensed data from the sensors. We used Flutter for developing web application.

The project is segmented into three parts (Detectors,Connectivity, Applications).

V. SENSORY SYSTEM

The sensors used in livestock management systems are temperature sensor, pulse sensor, GPS sensor

Conclusion

In conclusion, the advancement of farm automation, particularly in the realm of cattle health monitoring systems, is revolutionizing the way we manage and care for livestock. With the integration of infrastructure, hardware, and software, these systems enable continuous monitoring of individual cattle health, detecting crucial indicators such as temperature and heart rate. This technology significantly reduces the need for extensive manual health inspections and ultimately cuts down long-term healthcare costs for dairy farmers. By prioritizing the well-being of each animal, we can enhance farm productivity while ensuring the welfare of our cattle population.

References

[1] https://www.google.com/patents/US6211789 [2] http://people.cs.ksu.edu/~dan/Vet_Cancun_BMOO_Final.pdf [3] http://www.bioinfopublication.org/files/articles/2_1_2_JGDC.pdf [4] https://www.ijareeie.com/upload/2016/april/162_MB160501_Snehal_Paper_V0.pdf [5] http://s2is.org/ICST-2014/papers/1569961281.pdf [6] http://www.academia.edu/781755/Cattle_health_monitoring_using_wireless_sensor_networks [7] http://dinus.ac.id/repository/docs/jurin/15258.pdf

Copyright

Copyright © 2024 G. Pavani Naga Priya, K. Hari Priya, S. Jayanth , A. Jaideep. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.