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Project Synopsis

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VISVESVARAYA TECHNOLOGICAL UNIVERSITY
BELAGAVI
A
Project Synopsis
On
“Livestock Monitoring System Using IoT”
Submitted in the partial fulfillment of the requirement of VII Semester
Bachelor of Engineering
By
NAME
USN
Nikhil Gowda C
1SG16CS063
Prajwal S V
1SG16CS071
Rohan Bidappa A C
1SG16CS088
Under the guidance of
Mr. Srikantha Gowda R
Assistant Professor, Dept. of CSE
DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
SAPTHAGIRI COLLEGE OF ENGINEERING
(Affiliated to VTU, Belagavi, Approved by AICTE, New Delhi)
14/5, Hesaraghatta Main Road, Bangalore-57
2019-2020
TITLE OF THE PROJECT:
Livestock Monitoring System using IoT
ABSTRACT:
Livestock industry has been one of the fastest growing sectors of business and research in
India over the past decade. This rising, lucrative and profitable industry seems to be attracting a
good number of enthusiastic investors to invest their capital, and make a contribution to the
country’s overall GDP. The focus of this work is to design a lightweight and smart IoT wearable
device strapped around the cow's neck to help farmers to monitor the vitals of cows through
various sensors and hence monitor cattle health, which contributes to a healthy reproductive
cycle and therefore leads to an improved milk yield. The IoT wearable device measures
temperature, position activity and behaviour (Eating, sleeping, lameness). LoRa communication
protocol is the IoT technology used for the communication of this information. Data analytics is
done on the cloud and a report is generated detailing the health of each cow in the farm. Based
on this report the farmer can approach a vet, nutritionist, agronomist to get actionable
intelligence to improve the cow’s milk yield.[1]
INTRODUCTION:
Improvements in nutrition, management processes and animal welfare in general could
lead to increased performance of dairy cows. However various factors such as diseases, low
detection rates of insemination moments, and reproductive health problems still have a negative
impact on overall economic performance of the dairy industry. These problems reflect in reduced
milk production, early removal of potentially useful cows and long calving intervals resulting in
fewer calves [1]. Driven by the innovations in the field of Internet of Things (IoT), such as new
low power communication networks and the further miniaturization of sensors, precision dairymonitoring technologies (PDMT) to overcome the mentioned problems are gaining interest.
Sensors which continuously and automatically monitor animal behavior and other parameters
can provide information about nutrition, reproduction, health, and overall well-being of dairy
cows. Because traditional monitoring methods often translate into subjective visual inspections,
which are labor intensive, time consuming and require continuous presence of skilled personnel,
PDMTs are also expected to reduce labor costs [2]. LoRa devices and wireless radio frequency
technology (LoRa Technology) is a long range, low power wireless platform that has become the
de facto technology for Internet of Things (IoT) networks worldwide. LoRa Technology and the
open LoRaWAN protocol enable smart IoT applications that solve some of the biggest
challenges facing our planet. Several studies indicate the added value of PDMT such as an
improvement in the cow’s reproductive efficiency, neonatal viability and their value in detecting
the insemination moment. However, these cases often focus on only one aspect of dairy
management such as better detection of the insemination moment and monitoring
cow health.
STATEMENT OF THE PROBLEM:
The project is designed to give the breeders a sophisticated approach in handling their
Livestock such that they can maximize their income.
WHY IS THE PARTICULAR TOPIC CHOSEN?
Farming industry gives significant income to the Indian nation. But livestock in the farms
are mostly affected by a number of diseases. Hence, using the proposed system we can take
necessary steps in minimizing the diseases.
OBJECTIVE AND SCOPE OF THE PROJECT:
To collect the necessary dynamic data from livestock using LoRa and IoT technologies.
METHODOLOGY:
In order to design and evaluate this IoT-based PDMT system, a structured approach is
required. The first step of the methodology focusses on the design funnel process starting from
use case definition and ending in a high level technical layout of system whilst including
functional, strategic and economic considerations. Four use cases have been identified and
describe different aspects the PDMT system should be able to deliver or execute:
• Early detection of signs of disease
• Detecting the moment to inseminate
• Predicting the calving moment
• In-& outdoor localization and identification of dairy cows.
From these use case, user, functional and technical requirements are derived and discussed with
various experts within the consortium. These strategic and economic considerations are taken
into account to propose a first iteration of the technological layout. This technological layout will
in a later phase be used as source for the cost model.
POSSIBLE OUTCOMES:
With the help of the proposed system, we will be able to collect necessary data from the
cows. The data will be in the form of the graphs obtained from the sensors from which necessary
conclusions can be obtained. Over a period of time, the breeder will be knowing the regularities
of a particular breed and hence can notice if there are any abnormalities. Considering these, he
can then take necessary decisions.
REFERENCES:
[1]. Frederic Vannieuwenborg, Sofie Verbrugge, Didier Colle, “Designing and evaluating a
smart cow monitoring system from a techno-economic perspective”, 2017
[2]. Adithya Sampath, P Meena, “A Novel Approach to Cattle Health Monitoring for
Maximizing Dairy Output Using LoRa IoT Technology”, IJARCCE, Vol 8, June 2019, pp 94102
[3]. L. Nagl, R. Schmitz, S. Warren, T. S. Hildreth, H. Erickson and D. Andresen, “Wearable
Sensor System for Wireless State-of-Health Determing in Cattle”
[4]. Leena Narayan, Dr. T. Muthumanickam and Dr. A. Nagappan, “Animal Health Monitoring
System using Raspberry Pi and Wireless Sensor”, International Journal of Scientific Research
and Education (IJSRE), Volume 3 Issue 5, May 2015