IOT Based Monitoring of Fruit Freshness Using Arduino Nano

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 10 Issue: 04 | Apr 2023 www.irjet.net p-ISSN: 2395-0072
© 2023, IRJET | Impact Factor value: 8.226 | ISO 9001:2008 Certified Journal | Page 1652
IOT Based Monitoring of Fruit Freshness Using Arduino Nano
Soham Katare1, Dip Paliwal2, Shreyas Suryawanshi3, Rushabh Humane4, and Hitesh Meshram5,
RajeshThakare6
1,2,3,4,5 Student, Yeshwantrao Chavan College of Engineering, Nagpur
6HOD, Yeshwantrao Chavan College of Engineering, Nagpur
---------------------------------------------------------------------***---------------------------------------------------------------------
Abstract - To keep fruits fresh, there is always a need to
create a device that can automate the process of detecting the
freshness of fruit. The objective of this paper is to build a
device that measures the quality of fruit and provides an
output based on its gaseous contents. Arduino NANO
(microprocessor) along with MQ3, MQ5 (gas sensors) and
DHT11 (Temperature and Humidity sensor)areusedto detect
the concentration of Methane (CH4) and Ethylene (C2H4) in
ppm (Parts per Million) temperature and humidity in degree
Celsius. It was found that the excess ripening after which the
fruit starts decomposing has a concentration of 300ppm
(Ethylene) for all fruits and vegetables. The decomposition
results in producing trace amounts of Ethylene gas, which is
also detected using the MQ3 sensor. The result is calculatedby
the Arduino Nano and is displayed in a 16x2 LCD display. The
testing process of the device involved many fruits. In this work
three common fruits (Apple, Banana) will be deeply analyzed.
Device can be implemented in all food-based industries where
there is a necessity to compute the freshness of fruits and
vegetables. The simplicity and cost-efficiency of the device
makes it a perfect product that can be used by everyone a
Fruit and vegetable vendors, every household, Packaging
industry to sort fruits, Restaurants or entire chain of
restaurants, Farmers can use it to gain more profit.
Key Words: Arduino, MQ sensor, Fruits and Vegetables,
Freshness estimation, Apple, Banana
1. INTRODUCTION
Fruits are an essential part of a healthy diet and are packed
with vital nutrients vitamins, and minerals that promotes
good health. However, the quality and freshnessoffruitscan
vary significantly, depending on factors such as harvesting
time, storage conditions,and transportation methods.Thisis
where fruits sensors come in. A fruit sensor is a device that
can measure various aspects of fruit quality, such as
ripening, sweetness, acidity and overall freshness. By using
advanced technology and data analysis, fruits sensors can
provide farmers, distributors, and consumers with valuable
insights into the quality and conditions of fruits. In recent
years, the demand for fresh, high-qualityfruitshasincreased
significantly, and fruit sensorshaveemergedasa critical tool
for ensuring that fruits meet higheststandardsofqualityand
freshness. From small-scale farmers to large-scale
distributors, fruits sensors are being used to monitor fruits
quality at every stage of the supply chain, from harvesting to
consumption.
Hence, the handling and packaging of fruits are key
toward maintaining their freshness until they reach the
consumer. One of the major sourcesofprematurespoilagein
perishable fruits is during transport and storage. This is a
key issue for fresh fruits, which gets very little quality
monitoring after it has been harvested, treated, and packed.
Fruits are necessary parts of the human diet, as they contain
vitamins, minerals, antioxidants, fiber, and many other
essential nutrients. Most countries suggest daily servings of
fruits and vegetables in their dietary recommendation
guides, emphasizing the importance of accessibility to good
quality produce. The health and safety of the consumers are
also important factors in the consideration of fruits quality.
Many harmful microorganisms can infect fresh produce,
especially through poor handlingandprocessingpractices.A
majority of these pathogens are picked up during transport
and storage and due to faulty packaging techniques. Due to
the potential severity of these hazards, regulations on fresh
fruits are stringent, particularly in the developed countries.
Resellers take precautionary measures such as disposing of
food that has passed its “best before” date, which the United
States Department of Agriculture states is not a true
indicator of spoiled food. Products are often still viable after
this date, meaning that large amounts of unsold food are
unnecessarily discarded.
2. Application
 It can be used by
 Vegetable vendores,
 Every household, packaging industry to sort fruits,
 Restaurant or entire chain of restaurants,
 Farmers can use it to gain profit,
 flavour, taste and overall precepitation of fruits
quality than sweetness acidity, and ethylene, these
three parameters provide a foundation chemical
baseline for establishing and fruits quality.

3. Objective
Management of fruits is still avoided by the people. As if that
fruit is kept properly at one place then it won’t get rotten. So
we are bringing an electronic non-invasive method to
monitor fruits. So to reduce that waste of fruits with help of
“IOT based Monitoring of Fruit Freshness using Arduino
Nano”. There are different types of fruits on basis of outer
skin they are:
 Fruits with soft skin
 Fruits with moderate skin
 Fruits with hard skin
All of them are in need of monitoring so that we consume
right fruit at right time.
4. Literature Review
To estimate freshness of fruits we need some method that
might be by putting any sensor into fruit but this can make
fruit not applicable to eat. Before, methods used to
determine freshness of fruits is with help of IOT (Internet of
Things) and Deep Learning Prediction Algorithm:
a) Image Acquisition: Image is gotten under authentic
lighting up, detachment and various factors affectingpicture
quality are taken into thought. This movement is crucial
because picture quality plays a critical occupation in iris
Localization.
b) Image Segmentation: In this movement, the fruit area is
confined from the given picture. Thefruitdivisionisa crucial
development for all around execution of the structure.
c) Feature extraction: In the component extraction stage,
novel component from the partitioned fruit is removed to
make a fruit design. This arrangement further used for
affirmation.
d) Matching: The isolated models are arranged onto the
models as of now isolated and set aside in data set. The
degree of closeness picks whether the unmistakable
confirmation is to be set up or not. [1]
Another method used before was with helpofProtein-Based
Edible Foil in this they used:
• Testing Platform Design and Fabrication: The
microchip platform for testing the freshness of
selected fruit and vegetable were designed in
AutoCAD program. The sensing platformconsistsof
two rectangular layers of foil and two electrodes
between them
• Studied Samples: Tests were performed on fruit
pear Williams (Pyruscom munis ‘Williams’) and
vegetable zucchini (Cucurbitapepo).Theseselected
samples are most common in marketsandhomesat
this time of the year (autumn)
• Experimental Setup: Impedance measurements
were performed using an experimental setup. It
consisted of a Palm Sens4 device connected to the
laptop via Bluetooth and a portable platform
(microchip). [2]
Last method was with help of electronic sensor and wasp
mote they:
• They used Wasp mote and connected it with
following items
• For the reading of the oxygen gas, theSK-25Fmodel
sensor was selected.
• The sensor selection for the CO2 gas was model
TGS4161.
• It has an interface card that allows the physical and
logical interconnectionbetweenthesensorsandthe
CPU of the main card.
• The implementation of the complete system
involves the construction of a hermetic chamber to
house the fruit and arrange the sensorsintheupper
lid, where the electronic circuit will be housed. [3]
5. Methodology
5.1 Hardware requirements
The experimental setup requires Arduino Nano
microprocessor, MQ3 sensor which is used to determine
alcohol level i.e. ethylene level in ppm, MQ5 sensor to detect
natural gases like CO2, Buzzer to give warning and LCD
(Liquid Crystal Display) to give message and parameters to
user. Information of these sensor is given below:
1. Arduino Nano
Arduino is an open source microcontroller based
electronic prototyping board that can be
programmed using the Arduino IDE. Arduino is
made up of parts: a physical programming circuit
board and software.
Fig 1: Arduino Nano
2. MQ5 Sensor
MQ5 Gas Sensor Module is used in gas leakage
detection and is suitable for home and industrial

equipment for LPG, natural gas, and coal gas
detection and monitoring. The sensitive material
used in the MQ5 gas sensor is SnO2, which has
lower conductivity in clean air. When the target
combustible gases exist in the atmosphere, the
sensor’s conductivity increases with the gas
concentration. It provides an analog output
corresponding to the concentration of the gases in
the air and an easy-to-use digital output.
Fig 2: MQ 5 Sensor
3. MQ3 Sensor
The MQ3 sensor module is convenient for detecting
Alcohol, Methane, Hexane, Carbon monoxide,
liquefied petroleum gas (LPG). The sensor contains
tin dioxide. When the alcohol gas exists around, the
conductivity of the sensor is higher.MQ3 gassensor
has an acute sensitivity to Alcohol and has excellent
resistance to disturb smoke, vapor, and gasoline.
Fig 3: MQ 3 Sensor
4. DHT11 Sensor
DHT 11 is a Humidity and Temperature Sensor,
which generates calibrated digital output. DHT11
can be interface with any microcontroller and get
instantaneous results. DHT11isa lowcosthumidity
and temperature sensor which provides high
reliability and long term stability.
Fig 4: DHT 11 Sensor
5. LCD Display
This display has 2 rows and can display 16
characters on each line. The Display Controller
takes command and data from a microcontroller
and drivers the LCD panel. This LCD display consist
of 2 rows and 16 columns, it is used for displaying
the output of the system and shows the quantity of
fluid remaining in the bottle.
Fig 5: LCD Display
5.2 Design
Firstly, we need to give it a external power socket of 5V
which is required for all sensors. Arduino is connected with
external power supply of 5V. The MQ5 sensor, MQ3 sensor,
DHT11 sensor, Buzzer and LCD display are connected to
Arduino Nano pins. After sensors generate data in analog
format it is converted to digital format by Arduino Nano
program. It will show output on LCD screen and buzzer will
buzz if values are above threshold value. All of these is
represented in fig 6. [3]
Fig 9: Circuit diagram of proposed system
5.3 Flowchart
Fig 10: Flowchart of IOT based Fruit Freshness Detector
Using Arduino Nano

The figure 10 shows the flow of Fruit Freshness Detector
system after giving power supplysystemstarts.Oncesystem
starts MQ5, MQ4 and DHT11 sensors sense Natural gases,
Alcoholic gases, and TemperatureandHumidity respectively
and gives input to Arduino Nano. ArduinoNanohasprogram
setup which has all the parameters. If the parameters are
beyond set limits Arduino Nano gives input to buzzer and it
starts giving sound signals to person who is monitoring it.
The analog input is converted to Digital by Arduino Nano.
5.4 Software Used
ARDUINO IDE
Arduino is open source electronicsplatformthatusessimple
hardware and software to make it easy to use. Arduino
boards can take inputs- such as light from a sensor,finger on
button, etc. and convert them to outputs- such as turning on
an LED, triggering a motor, or publishing anything online.
The ArduinoIntegratedDevelopmentEnvironment(IDE)isa
C and C++ based cross platform application (for Windows,
Mac OS, and Linux). It’s used to write and upload programs
to Arduino-compatible boards, as well as other vendor
development boards with the support of third-party cores.
The Arduino IDE uses unique rules of code organization to
support the languages C and C++. The Arduino IDE comes
with a software library from the Wiring projectthatincludes
a number of common input and output functions. User
written code just needs two simple functions to start the
sketch and run the main program loop, which are compiled
and linked with a programme stub main()intoanexecutable
cyclic executive programme using the GNU network.
5.5 Overview of Work
When the device is made ON, initially it calculates resistance
of MQ sensors to get the known concentration of gases
around the sensor without the presence of other gases. MQ3
sensor calculates ethylene level to know iffruitisfreshto eat
or shouldn’t be ate.MQ5 sensor is used to detect natural
gases content in atmosphere of fruit. Theatmosphereoffruit
is crucial for it to be in good condition. These conditions are
temperature and humidity which are calculated by DHT11
sensor. This sensor gives exact temperatureand humidity so
we can keep it in control with help of cold storage. We used
buzzer and LCD screen to let user know what condition of
fruit and its atmosphere is. If threshold value of MQ3 sensor
is achieved i.e. 250ppm it will show on screen “DON’T EAT”
and buzzer will buzz. [4] Now if the MQ5 sensor is achieved
i.e. 500ppm it will show “GASES RELEASING “on screen.And
at last if temperature level is higher than 15ºC which
standard is temperature for fruits and vegetable storage it
will show “HIGH TEMPERATURE” and if humidity is higher
than 90% it will show “HIGH HUMIDITY”. [5] In program to
calculate analog value to ppm value one formula is applied
i.e.
1. For MQ3 Sensor
(1)
Here 5 is total voltage provided and1023isnumber
of bits for analog value.
2. For MQ5 Sensor
(2)
Here 5 is total voltage provided and1023isnumber
of bits for analog value.
6. CONCLUSIONS
In this proposed approach,
1. Firstly when we provide powertodevicewecansee
initial screen i.e. “IOT FRUIT FRESHNESS
DETECTOR”
2. After initial screen DHT11 sensor detects value and
sends it to microcontroller, microcontroller then
shows those values on LCD Display.
3. If Temperature is higher than 15°C it will show
“HIGH TEMPERATURE” on screen and Buzzer will
buzz.
4. If Humidity is higher than 90% it will show “HIGH
HUMIDITY” on screen and Buzzer will buzz.
5. After this it detects value of MQ3 sensor andifvalue
is greater than 250ppm it will show “DON’T EAT”
which is indication that fruit is harmful to eat.
6. Value of MQ5 sensor is detected and if it is greater
than 500ppmitshows“GASESRELEASING”whichis
indication that fruits are releasing gases or those
fruits are in harmful gaseous environment.
7. We tested our product on Apple and Banana which
are common fruits in all season.
8. We found that highly decayed fruit has 300ppm
value of alcohol.

Fig 11: Values of Temperature and Humidity are displayed
on screen
Fig 12: As high temperature above 15 C is detected it
shows that High Temperature.
Fig 13: Values of MQ3 and MQ5 sensor are displayed on
screen
REFERENCES
1] P. S. Arya and M. Gangwar, "A Proposed Architecture:
Detecting Freshness of Vegetables using Internet of Things
(IoT) & Deep Learning Prediction Algorithm," 2021 3rd
International Conference on Advances in Computing,
CommunicationControl and Networking(ICAC3N),2021, pp.
718-723, doi: 10.1109/ICAC3N53548.2021.9725428.
2] T. Kojić, M. Simić, M. Pojić and G. M. Stojanović, "Detecting
Freshness of Fruit and Vegetable Without and With Edible
Protein-Based Foil," in IEEE Sensors Journal, vol. 22, no. 16,
pp. 15698-15705, 15 Aug.15, 2022, doi:
10.1109/JSEN.2022.3188388.
3] O. O. Flores-Cortez, V. I. Rosa and J. O. Barrera,
"Determination of the Level of Ripeness and Freshness of
Fruits by Electronic Sensors. A Review Determinación Del
Nivel de Maduracion y Frescura de Frutos Por Medio de
Sensores Elcctrónicos," 2018 IEEE 38thCentral America and
Panama Convention (CONCAPAN XXXVIII), 2018, pp. 1-4,
doi: 10.1109/CONCAPAN.2018.8596545.
4] Hardenburg, R.E., A.E. Watada and C.Y. Wang. 1986. The
Commercial Storage of Fruits, Vegetables, and Florist and
Nursery Stocks. USDA-ARSAgricultureHandbook Number66
(revised) 136p.
5] S. D. T. Maduwanthi. 2019. Induced Ripening Agents and
Their Effect on Fruit Quality ofBanana., International Journal
of Food Science, 10.1155/2019/2520179

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