IRJET- An Implementation of Diary Food Products using Android Application

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 06 | June 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 3158
An Implementation of Diary Food Products using Android Application
S. Brintha Rajakumari1, T. Susendran2
1 Associate Professor, Department of CS, BIHER, Chennai.
2Department of Computer Science, BIHER, Chennai.
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Abstract - A dairy food products is our daily need products
of regular life. The dairy products application shows price
catalogue of products (eg, milk, curd, butter, paneer, gova,
etc.), purchase order summary, payment history, feedback,
offers, and indent order. In addiction of milk several dairy
products such as cream, butter, cheese, and ghee even though
have been categorized milk into varying types of milks. The
impact of milk and dairy products are usefulandhelpfulfor all
agents and distributors. The agents are having account to
login this application, and to view the order history and
payments detail, due balance, schemes, and register a
complaint for any queries and report. The app generates
printed receipt as well as sends SMS to the Agents instantly. At
the end of the shift, entire data are sent totheweb-server. Shift
Summary and Daily collection reportscanbeviewedonmobile
app. Record transactions such as issue to record local sales.
Use of Dairy-pro eliminates the use of PC, printer, battery,
platform scales set-up at the site and makes operations
smooth, trouble free. Whenever, anychangesorup-gradations
are made in the app that will upload on Google app, no service
engineer is required to update them.
Key Words: Diary Food Product, Supply Chain
management.
1. INTRODUCTION
Businesses come in different sizes and scales and
management of business inventory and supply chain is
something that contributes to the business. Currently, ERP
and CRM packages deploy a great deal of application
frameworks that get the best out of the available market.
Product lines like Salesforce, SugarCRM, etc. have shown to
contribute to the business trends analysis. Butthewaythese
products operate and the cost of operation/licensing these
products is very high and can be afforded by major
businesses with an operating income of million dollars. The
current systems deploy statistical analysis of the product
supply and profits per unit. The analysis is supposed to have
historical data so as to analyse any risk. The system is
intended for analysis and prediction of sales in the dairy
productsdistributionsystem.TheSupplyChainManagement
system includes Manufacturer-Distributor-Retailer-
Customer. With this scheme, the business relationship in a
supply chain management system is digitalising for the
purpose of order placement and delivery. The work aims to
reduce the manual workforcerequiredtocollectandprocess
the orders from all the various retailers and to cover all the
interpersonal communication
2. LITERATURE SURVEY
In small scale industry, manual work is required for
collecting orders from the retailers and then compiling a
composite order to be placed at the manufacturer site. They
basically maintain a record of orders and sales ina database.
Depending on the status of the database they perform
analysis manually and make a decision. In large-scale
industry, ERP and CRM packages use a great deal of
application agendas that get the best out of the available
market. Product lines like Salesforce, SugarCRM, etc. have
displayed to give to the businesstrendsanalysis.Buttheway
these products operate and the cost of operation/licensing
these products is very high and can meet the expense by
major businesses with an operating income of million
dollars. The current systems deploystatistical analysisofthe
product supply and profits perunit.Theanalysisissupposed
to have historical data so as to examine any risk. So risk
mitigation factors are completely out of range in the current
systems.
Value chain analysis is important to an understanding of
markets, their relationships, the participation of different
actors, and the critical constraints that limit the growth of
livestock production and consequently the competitiveness
of smallholder farmers.Thesefarmerscurrentlyreceiveonly
a small fraction of the ultimate value of their output, even if,
in theory, risk and rewards should be shareddownthechain
[1]. This study evaluates the effectiveness of the value chain
in the karachchi division, Kilinochchi district. Accurate
prediction of daily milk production is a crucial aspect of the
dairy industry [2]. During the past decades, although many
models using various data analytic techniques have been
proposed in the literature to address the milk prediction
problem, these models have yet to be widely applied indaily
operations. Dairy producers need to predict milk yield at
individual cow and group level. Given the increasingamount
of milk production information collected every year, the
difficulty also arises from analysing big data. To address
challenges in dairy supply chains and help dairy producers,
especially small-scale producers, make use of data analytics
in milk supply decision-making, a targeted effort to develop
a feasible and cost-effective tool, Milk Yield Prediction and
Analysis Tool (PAT), is launched. This tool allows dairy

producers to use various prediction models to discover
insight into milk production and forecast futuremilk yieldat
both the individual cow and the group level. This study
provides a detailed discussion on the design of this tool and
demonstrates how big data analyticscanbeappliedina cost-
effective manner.
Smallholder commercializationisconsideredasthepathway
for household food security in many agriculture dependent
economies [3]. The study conducted a householdsurveyand
observational study on food consumption patterns,
household and intra-household dietary diversity and
nutritional status in 164 dairy farm households in Ethiopia.
Using the FAQ dietary diversity questionnaire, all fooditems
consumed by the husband, the wife, an adult boy, an adult
girl and a child under five (when available) was recorded.
The study indicate that there is no significant difference
between market participant andnon-participanthouseholds
on animal source food consumption in general and milk
consumption. Production efficiency is a reflection of
industrial competition. Evaluating production efficiency of
dairy products processing industry in heilongjiang province
is of great significance to the development of dairy products
processing industry [4]. The author selected the CCR output
direction model of DEA method, chose production efficiency
of dairy products processing industry in heilongjiang
province as decision making units, and selected the input
amount of milk raw materials, the labour force, the assets of
dairy products processing industry as input indexes, the
production of dairy products, the output value of dairy
products processing industry as output indexes to evaluate
production efficiency of dairy products processing industry
in heilongjiang province. At the same time, the author
pointed out the problems in the pipeline of dairy products
processing industry, and brought upthesuggestionstosolve
those problems.
The microbial concentration of food must be evaluated by
means of the standard plate count (SPC) technique to
guarantee product safety in the dairy industry [5]. The
various soft-frozen dairy products of different composition
and producers have been tested to study the correlation
between conventional SPC and such a new impedance
technique. It is suitable for real industrial applications.
Automated calf feeders forraisingyoungcalvesingroups are
growing in popularity as producers want moreflexiblelabor
management and consumers want animals to have a more
natural life [6]. Feeding calves in groups allows calves to
express some natural behaviors that cannot be expressed
when housed individually, but offers some challenges in
relation to maintaining good health, another important
aspect of good animal welfare [7]. Good health is achievable
when using automated calf feeders to raise preweaned
calves as long as appropriate management andmaintenance
of equipment are emphasized and implemented [8,9].
Drawbacks are High blood pressure, Metabolic degenerative
disease, Autism, Diabetes type -1 in children, mental
disorder in old age.
3. DIARY FOOD PRODUCT SYSTEM
In the diary food system, aims to reduce the manual
workforces necessary to collect and process the ordersfrom
all the various retailers and to cover all the personal
communication between retailer-distributormanufacturers.
This approach digitalizes the Manufacturer-Distributor-
Retailer business relationship for the purpose of order
placement and delivery. Shift Summary and Daily collection
reports can be viewed on mobile app. The mobile app also
can be used to record transactions such as issue to record
local sales. Dairy food product application shows youa price
Catalog of the products (eg, milk, curd, butter, panuer, gova,
etc.) And then shows thepurchaseorder,paymenthistory.In
addiction of milk several dairy products such as cream,
butter, cheese, ghee even though havebeencategorizedmilk
they have variety types of milks, and dairy products to view
the price of the product in the price catalog. Therefore, the
impact of milk and dairy products are useful and helpful for
all agents and distributors. Agents are having account to
login this application, and to view the order history and
payments detail, due balance schemes, and register a
complaint for any Queries and report. The app generates
printed receipt as well as sends SMS to the Agents instantly.
At the end of shift, entire data is sent to the web-server.
Advantages of Food Product System is a healthy diet
including a variety of foods from the five foodgroupssuchas
fruit, vegetables and milk, cheese and yogurt can help you
manage your blood pressure.
4. FOOD PRODUCT DESIGN
The input design is the link between the information system
and the user. It comprises the developing specification and
procedures for data preparation and those steps are
necessary to put transaction data in to a usable form for
processing can be achieved by inspecting the computer to
read data from a written or printed document or itcanoccur
by having people keying the data directly into the system.
The design of input focuses on controlling the amount of
input required, controlling the errors, avoiding delay,
avoiding extra steps and keeping the process simple. The
input is designed in such a way so that it provides security
and ease of use with retaining the privacy. Input Design
considered the following things: What data should be given
as input? How the data should be arranged or coded? The
dialog to guide the operating personnel in providing input.
Methods for preparing input validations and steps to follow
when error occur. The Diary food product system
architecture is in figure 1.

Fig -1: Architecture of Diary Product
A quality output is one, which meets the requirementsofthe
end user and presents the information clearly.Inanysystem
results of processing are communicated to the users and to
other system through outputs. In output design it is
determined how the information is to be displaced for
immediate need and also the hard copy output. It is themost
important and direct source information to the user.
Efficient and intelligent output designimprovesthesystem’s
relationship to help user decision-making.
The output formofaninformationsystemshouldaccomplish
one or more of the following objectives. Convey information
about past activities, current status or projections of the
Future. Signal important events, opportunities,problems, or
warnings. Trigger an action. Confirm an action.
The system consists of the following modules such as User
and Admin Module, Price catalog, Indent Order, Order
summary, Payments, Suggestions and feedback Schemes.
User and Admin Module is the first activity that opens when
user installs the app. User needs to provide a correct contact
number and a password, whichuserenterswhileregistering,
in order to login into the app. If information provided by the
user matches with the data in the database table then user
successfully login into the app else message of login failed is
displayed and user need to reenter correct information. A
link to the register activity is alsoprovidedforregistrationof
new users. A new user who wants to access the app needs to
register first before login. By clicking on register button in
login activity, the register activity gets open. A new user
registers by entering full name, password and contact
number. A user needs to enter password again in confirm
password textbox for confirmation. When user enters the
information in all textboxes, on the click of register button,
the data is transferred to database and user is directed to
login activity again. Registered user then needs to login in
order to access the app. Validations are applied on all the
textboxes for proper functioningoftheapp.Likeinformation
in each textbox is must that is each textbox, either it is of
name, contact, password or confirm password, will not be
empty while registering. If any such textbox is empty app
will give message of information is must in each textbox.
Also data in password and confirm password fields must
match for successful registration. Another validation is
contact number must be valid one that is of 10 digits. If any
such validation is violated then registration will be
unsuccessful and then user needs to register again. Message
that app will display when one of the field is empty. If all
such information is correct user will be directed to login
activity for login into the app. Admin can login to the
application and then add/modify the price catalog, Indent
order, order summary, payments, suggestions and feedback
and schemes. Price catalog is used to view the price of the
products. Indent Order is used to place an order for
tomorrow. Order summary is used topurchasehistoryof the
product. Payments module is used to a statement of the bill
payment. Suggestions and feedback is used to get our
drawbacks. Schemes contains offers and targets. The diary
product app home page, catalog page, order page and offer
page diagrams is in figure 2,3,4 and 5 respectively.
Fig -2 : Home Page
Fig-3: Catalog Page

Fig-4: Order Page
Fig-5: Offer Page
5. REPORTS
The app generates printed receipt as well as sends SMS to
the Agents instantly. At the end of shift, entire data is sent to
the web-server. Shift Summary and Daily collection reports
can be viewed on mobile app. The mobile app also can be
used to record transactions such as issue to record local
sales. Use of Dairy-pro eliminates the use of PC, printer,
battery, platform scales set-up at the site and makes
operations smooth, trouble free. Whenever, any changes or
up-gradations are made intheappthatwill uploadonGoogle
app, no service engineer is required to update them.
6. CONCLUSION
The proposed diary food product system minimizes manual
work of order and analysis and also helps
retailer/distributor to easily predict developments and
optimize price for sales and distribution. Easy access to
information and feedback for convenient communication
among all individual in supply chain management, efficient
combination, and management of different data that come
from different sources. In future, plan to add the following
features into the application. User can store important
information related to friends, accounts,reminderandother
important information. User can send stored information
through mail. User can also send information to its friend
(Skype, email, Hook Up) or store online (Google drive,
Gmail). User can search for the stored information through
search bar that will help user for easy access. User will
receive an alert for corresponding reminder. Digital Diary
has over 1000 installs (1000- 5000) on Google play store.
Digital Diary has average rating of 4.5 on both iTunes and
Google play store.
REFERENCES
[1] Sivapalan Achchuthan, Rajendran Katana than, “A
Study on Value Chain Analysis in Dairy Sector
Kilinochchi District”,Global Journal ofManagementand
Business Research, in 2012.
[2] W. J. Yan1, X. Chen,” Big Data Analytics for Empowering
Milk Yield Prediction in Dairy Supply Chains”, IEEE
International Conference on Big Data, 2015.
[3] Birhanu Megersa Lenjiso, Jeroen Smits, Ruerd Ruben,
“Transforming dairy production and marketing: An
essential step in ensuring food and nutritional security
among smallholder farmers in rural Ethiopia”, IEEE
Canada Internationaz Humanitarian Technology
Conference (IHTC2015), 2015.
[4] Licuixia, “Empirical study on production efficiency of
dairy products processing industry in heilongjiang
province based on DEA model”, International
Conference on Computer Application and System
Modeling (ICCASM,2010).
[5] Marco Grossi , Anna Pompei , Massimo
Lanzoni , Roberto Lazzarini , Diego Matteuzzi , Bruno
Ricco, “Total Bacterial Count in Soft-Frozen Dairy
Products by Impedance Biosensor System”, IEEE
paper.2009.
[6] Komal Patel1, Ronak Chudasama2 , Sagar Dobariya,
“Dairy Production Analysis and Prediction Tool using
BIG DATA”, Volume 02, Issue 09; September – 2016.
[7] Matthew Ridge, Brian O'Donovan, “The use of big data
analytics in the retail businesses in South Africa”,
Academic journals, 2015.
[8] Wing-Kam Ng, Venus Khim-Sen Liew, “Revisiting the
Performance of MACD and RSI Oscillators, Risk and
Financial Management”, ISSN 1911-8074, 2014.
[9] G.Morota, R.V..Ventura,F.F.Silva, M.Koyama, and
S.C.Fernando, “Machine learning and data mining
advance predictive bigdata analysisinprecisionanimal
agriculture”, July 12,2017.

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