INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)
ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue XI November 2025
Page 4679
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Simulation of Arduino-Based Greenhouse Monitoring System Using
TinkerCAD
Engr. Arvin C. Cabrera
1
, Dr. Ma. Magdalena V. Gatdula
2
, Engr. Michael Andre P. Guevarra
3
, Engr.
Christian Carr DG. Tac-an
4
1,4
Master of Science in Computer Engineering, Graduate School, Bulacan State University, Malolos
City, 3000, Philippines
2
Professor, Graduate School; University Registrar, Bulacan State University, Malolos City, 3000,
Philippines
3
Master of Engineering Program, Major in Computer Engineering, Graduate School, Bulacan State
University, Malolos City, 3000, Philippines
DOI: https://dx.doi.org/10.47772/IJRISS.2025.91100367
Received: 26 November 2025; Accepted: 02 December 2025; Published: 11 December 2025
ABSTRACT
This study presents the Simulation of an Arduino-Based Greenhouse Monitoring System Using TinkerCAD,
designed to demonstrate automated environmental monitoring and control within a greenhouse. The project aims
to maintain optimal growing conditions by continuously measuring temperature, ambient lighting, and soil
moisture through a temperature sensor, LDR, and soil moisture sensor. System responses are displayed via an
LCD, while actuators—such as a fan, shade mechanism, and a light bulb representing a solenoid valve—operate
based on threshold values.
The system architecture and block-based code were developed using TinkerCAD, incorporating timers and flag
variables to mimic non-blocking execution despite platform limitations. The algorithm cycles through sensing,
displaying, controlling, and reset phases, computing average sensor readings and activating actuators
accordingly. Results confirmed correct detection and response across various environmental conditions,
including temperature classification, light intensity interpretation, and soil moisture levels.
Overall, the simulation successfully achieved its objectives by demonstrating how automated greenhouse control
can be implemented using Arduino components in a virtual environment. Future improvements may focus on
enhanced synchronization of sensor data and more advanced control algorithms to better replicate real-world
greenhouse automation.
Keywords: E-learning, Quiz Management, Web Application
INTRODUCTION
Crops such as leafy vegetables, root crops, and fruits are one of the major nutrient sources of humans making it
a valuable produce of farms all over the Philippines. As an agricultural country, farmers need to devise solutions
to cater for the needs of their crops. For example, in highland areas such as Benguet, Mountain Province, and
Tagaytay, farmers needed a way to keep their crops warm enough to survive cold nights, especially during colder
seasons. On the other hand, in lowland areas such as Central Luzon or Mindanao plains, farmers need to limit
the exposure of crops to extreme heat to avoid withering and to minimize drying of soil. According to published
research by Dolom et. Al (2023) [1], building greenhouse structures is one of the adaptation strategies to combat
continuous changes in the climate in Benguet. To aid the farmers in maintaining the health of the crops, the
developers developed an Arduino-Based Greenhouse Monitoring System which not only measures the
temperature, ambient lighting, and soil moisture but also automatically regulates the greenhouse by turning on
sprinklers and fans. By controlling the crops environment, we can make sure that the crops are in optimal
condition thus increasing the chances of producing bountiful crops.
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Problem Statement
• Due to the country’s geophysical location, the Philippines is prone to severe weather conditions making
it harder to grow crops.
• Greenhouses need constant monitoring especially for crops that are environmentally sensitive.
• Operating greenhouses includes manual labor which takes time especially if manpower is limited.
Project Objectives
The general problem of this research is to be able to simulate monitoring and to automate environment control
of a greenhouse to maintain optimal conditions for the crops with adjustable thresholds to cater for the needs of
various crops through TinkerCAD block-based programming.
Specifically, the team aims to execute the following:
• To measure the greenhouse temperature, ambient lighting, and soil moisture for monitoring and control
using temperature sensors, light-dependent resistors (LDR), and soil moisture sensors.
• To notify the user of current temperature, ambient lighting, and soil moisture of the greenhouse.
• To optimize the greenhouse environment by turning on the fan or the sprinkler, and provide extra shade
depending on the monitoring values with the use of servo motors and LEDs representations.
• To be able to control thresholds with the use of buttons and potentiometers.
RELATED WORKS
With the advancements and recent trends on Internet-of-Things, greenhouse systems that apply this kind of
technology emerge and already shown promise, in the field of agricultural practices. Akpulonu et. al (2024) [2]
proposed an IoT-based greenhouse system which measures different conditions, that typically determines crop
cultivation efficiency. To check and to control the environment of the crop yield that they are studying with,
they utilized sensors and actuators for different parameters like temperature, humidity, sodium, potassium, light,
phosphorus, and soil moisture. In this way, their system can regulate these environmental parameters - making
the crop cultivation more efficient. Furthermore, one feature that they also have is the real-time data recorder,
to have live updates regarding the environment and reactively execute and perform regulation methods that they
have designed. With their result showing a 20% crop yield increase, it shows how microcontroller-based systems
can really impact the quality of life - for this is for plants.
Patil et. al (2024) [3] developed an IoT-based greenhouse monitoring and control system as well, wherein they
mainly focused on measuring and controlling lighting, watering, and aeration factors. In their process, they send
the data collected on ThingSpeak, a cloud-based server. Here the data is now displayed which they analyze and
create further solutions to help in crop cultivation. With this study, the current researchers obtain one way of
recording information received from Arduino Uno and the sensors integrated with it, and also how to still
measure parameters accurately, even when regulators like motors, starts to spin or perform their programmed
tasks.
Hoque et. al (2020) [4] proposed an automated greenhouse monitoring and controlling system, incorporating
sensors for measuring temperature, humidity, light, and soil moisture. Furthermore, they integrated tools like
Arduino Uno R3, GSM module, a solar power system, and IoT. Aside from these, they included the cost analysis
with their developed prototype, to show how cost-effective and economical it is, especially with their target
users - which are farmers or agricultural workers. In their results, they have stated that what they did is effective,
with the effective functioning of their features like monitoring and controlling the light intensity, air humidity,
inside temperature, and soil moisture level. Also, the integration of GSM module is properly implemented, as
users can text a specific SMS message, and then the system will give what the user have asked for. With these,
the researchers can have a guide on the process that they will perform on their methodology, and also on how
can they discuss and explain the results, since the materials and the objectives of both researches are aligned.
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ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue XI November 2025
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RESEARCH METHODOLOGY
To build the system, the researchers have identified and listed the components that will be used, as well as on
how these parts will function as one – generating the design as shown on Figure 1.
Table 1 Components and Variables of the System
Component
Type
Function
Description
Arduino Uno
Controller
•Serves as the main
controller of the system.
•Reads all sensor data (soil moisture,
temperature, light).
•Controls actuators such as the fan, sprinkler,
LED, and relay.
•Displays data and settings on the LCD.
Push Button
Input
•Used for user input to
adjust system settings.
•SET button: cycles through adjustable settings.
•UP button: increases selected value.
•DOWN button: decreases selected value.
Voltage Multimeter
Input/
Output
•Ensures correct operation
and safe voltage levels.
•Used during testing to measure voltage from
sensors, solar cell, or power lines.
LCD 16x2
Output
•Shows system mode and
configuration when
adjusting settings.
•Displays real-time sensor readings (moisture,
temperature, light).
250 kΩ
Potentiometer
Input
• Used for user input to
adjust a system setting.
•Used to change the threshold values of
greenhouse.
220 Ω & 10kΩ
Resistors
Input
•Regulates voltage flow.
•Current-limiting resistor for the red LED.
•Prevents damage to the LED.
Soil Moisture
Sensor
Input
•Measures soil water
content.
•Provides an analog signal used to control the
sprinkler motor.
Relay SPDT
Output
•Used to control higher
voltage or current loads
safely.
•Can be used to switch external devices such as
pumps or lights.
DC Motor
Output
•Represents actuators in
the system.
•Fan motor: turns ON when temperature is high.
•Sprinkler motor: turns ON when soil moisture
is low.
12 V, 1 A Solar Cell
Power
•Acts as both a power
source and a light detector
for the system.
•Demonstrates renewable energy integration.
•Works with the photoresistor to simulate
daytime detection.
H-bridge Motor
Driver (L293D)
Output
•Interfaces the motors
safely with Arduino
outputs.
•Drives the two DC motors (fan and sprinkler).
•Allows bidirectional control of each motor.
Temperature Sensor
[TMP36]
Input
•Measures ambient
temperature.
•Provides analog output proportional to
temperature.
•Used to trigger the fan when temperature
exceeds a threshold.
Photoresistor
Input
•Detects ambient light
levels to determine day or
night.
•Works with a 10 kΩ resistor as a voltage
divider.
•Affects moisture and temperature behavior
during simulation.
Red LED
Output
•Serves as an indicator for
daytime.
•Turns ON when light intensity (from the
photoresistor) exceeds a threshold.
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ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue XI November 2025
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Figure 1 Architecture Diagram of the System
Figure 2 TinkerCAD Design of the System
As shown in Figure 2, the system features an LCD screen to display real-time status and sensor readings. It
incorporates motors to control a fan and a shade mechanism, allowing dynamic adjustment of airflow and
sunlight exposure. The system is equipped with sensors, including a temperature sensor, moisture sensor, and
photoresistor, to continuously monitor environmental conditions. Additionally, a light bulb is utilized as a
solenoid valve to regulate fluid flow when necessary. The entire setup is powered by two 1.5V AA batteries
specifically to operate the light bulb, while the Arduino and other components are powered separately.
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As shown on Figure 3, the process of the logic or programming side of the system is illustrated. It is composed
of three images – to represent the functions in flowchart way. The first image is the main loop, where all the
functionalities are summarized. On the second and third images are the functions that features on the first image
utilizes. To elaborate, the flowchart shown on the last two charts include functions for simultaneous sensor
sampling, for computing averages, for control system, for displaying the status, and for turning on and off of all
devices, as configured.
Figure 4.1 SMART Greenhouse Monitoring System TinkerCAD Code Block, part 1
onStart()
Figure 4.2 SMART Greenhouse Monitoring System TinkerCAD Code Block, part 2
Forever()
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ISSN No. 2454-6186 | DOI: 10.47772/IJRISS | Volume IX Issue XI November 2025
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Figure 4.3 SMART Greenhouse Monitoring System TinkerCAD Code Block, part 3
Figure 4.4 SMART Greenhouse Monitoring System TinkerCAD Code Block, part 4
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Figure 4.5 SMART Greenhouse Monitoring System TinkerCAD Code Block, part 5
Figure 4.6 SMART Greenhouse Monitoring System TinkerCAD Code Block, part 6
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Figure 4.7 SMART Greenhouse Monitoring System TinkerCAD Code Block, part 7
Figure 4.8 SMART Greenhouse Monitoring System TinkerCAD Code Block, part 8
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Figure 4.10 SMART Greenhouse Monitoring System TinkerCAD Code Block, part 10
The Smart Greenhouse Monitoring System collects analog values from the Light-Dependent Resistor,
Temperature Sensor, and Soil Moisture Sensor. After collecting enough data, the microcontroller analyzes it
and controls the motor for fan, motor for shade, and the relay for sprinkler, accordingly. To do this, the
developers thought of a way that the system can run in a non-blocking sequence, meaning all the process doesn’t
have to wait for the other process to be finished. However, TinkerCAD does not support asynchronous wait.
That is why we used timers and flaggers to determine where the execution should be. As seen in the code blocks,
the wait-block was only used when the system resets or starts while there is none during the sensing and
controlling. The algorithm has 4 phases – System Start, Active (Sensing), Displaying, Controlling, and System
Reset. After the System Start phase, it will transition to Active (Sensing) where it gathers data every second 60
times (equivalent to 1 minute). The microcontroller then computes the average measurement and assigns
necessary flaggers depending on the set thresholds. Afterwards, it will go to the Displaying phase where the
LCD displays all the metrics and their equivalent interpretation for low, normal, and high values. It will proceed
to the Controlling phase where the actuators move depending on the flags set during the Active (Sensing) phase,
which will last for 10 seconds. Automatically, the system will loop back to Active (Sensing) phase and will
repeat the whole process unless the reset button is pressed entering the System Reset phase. In this phase, all
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variables are set to their default value and will return to Active (Sensing) phase starting fresh. Anytime during
the iterating processes, the reset button can be pressed which can be used in emergency use cases.
The algorithm utilizes variables for different purposes. For example, the cooldownTimer - as seen in Figure 1,
is set to 90 which counts how many loops were done by the forever loop. By the timer variables (i.e.
sensingTime, displayMetricsTime) reached the value equal to cooldownTimer, it has passed roughly 1 second
in real time. If the cooldownTimer is paired with a multiplier (i.e. cooldownTimer x 10) as seen in Figure 7, we
can now expand the time accordingly. The timer variable changes its value by 1 every iteration in the forever
loop. It is also the basis of the value set in cooldownTimer where 90 iterations are roughly equivalent to 1
second. Flaggers (i.e. screenChanged, statusLighting, statusTemp) aid the system to know the next instructions
to execute. As seen in Figure 9, the screenChanged flagger is used to keep the LCD display steady. When its
value is 1, the LCD will not be commanded to display again, preventing unwanted flickering.
TinkerCAD Code Block feature is limited to fundamental blocks only. That’s why some of the features, such as
storing data in an array or displaying floating point values, are not possible. The developers have just thought
of a work-around to work in a similar way. Moreover, the measurements displayed and used in the computations
are only estimations and cannot be interpreted as actual value.
Table 2 Table of Variables
Variable /
Component
Type
(Input /
Output)
Parameter
Measured /
Controlled
Condition or Range
System Response / Action
LDR (Light-
Dependent
Resistor)
Input
Light Intensity
0% – 24%
= Low
Display “Dark”
25% - 45% = Normal
Display “Normal”
46% - 100% = High
Display “Bright”
Open motor (shade) for 10 seconds
Soil Moisture
Sensor
Input
Soil Moisture
0% - 34%
= Low
Display “Dry”
Open relay (sprinkler) for 10 seconds
35% - 75% = Normal
Display “Normal”
76% - 100% = High
Display “Wet”
Temperature
Sensor
Input
Temperature –
Celsius
15 °C and below
= Low
Display “Cold”
16 °C - 28 °C
= Normal
Display “Normal”
29 °C and up
= High
Display “Hot”
Open motor (fan) for 10 seconds
Button
Input
Manual Override
If pressed
Stop controlling, sensing, and
displaying.
Reset flaggers and variables to default
values.
Motor Driver
Output
Motor Activity
If average light
intensity is High
Motor for shade rotates
If average
temperature High
Motor for fan rotates
Relay
Output
Light Bulb activity
(in replace of
sprinkler)
If average soil
moisture is high
Light Bulb turns on (in replace of
Sprinkler)
LCD Screen
Output
Text Display
Logic-controlled
Displays status, system mode, and
metric values
Arduino
Controller
Input / Output
Processing
Logic-controlled
Execution is based on loops and if-else
conditions.
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Table 3 Test Cases
Test Num
Input Condition
Expected Output
1
Temp1 = 12
Temp2 = 10
Temp3 = 14
Temp4 = 13
Temp5 = 11
Temp6 = 10
Temp7 = 12
Temp8 = 14
Temp9 = 15
Temp10 = 17
The LCD displays “Temperature
12 deg. C – COLD"
2
Temp1 = 25
Temp2 = 28
Temp3 = 23
Temp4 = 18
Temp5 = 20
Temp6 = 25
Temp7 = 26
Temp8 = 25
Temp9 = 24
Temp10 = 18
The LCD displays “Temperature
20 deg. C – NORMAL"
3
Temp1 = 45
Temp2 = 50
Temp3 = 80
Temp4 = 85
Temp5 = 75
Temp6 = 125
Temp7 = 124
Temp8 = 125
Temp9 = 120
Temp10 = 120
LCD displays “Temperature
94 deg. C – HOT"
Motor for Fan turns on for 10
seconds
4
Lighting1 = 7
Lighting2 = 12
Lighting3 = 3
Lighting4 = 9
Lighting5 = 0
Lighting6 = 14
Lighting7 = 6
Lighting8 = 10
Lighting9 = 4
Lighting10 = 13
The LCD displays “Lighting
7% - DARK"
5
Lighting1 = 33
Lighting2 = 40
Lighting3 = 27
Lighting4 = 36
Lighting5 = 42
Lighting6 = 25
Lighting7 = 38
Lighting8 = 31
Lighting9 = 44
Lighting10 = 29
The LCD displays
“Lighting
34% - NORMAL”
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6
Lighting1 = 73
Lighting2 = 91
Lighting3 = 58
Lighting4 = 84
Lighting5 = 46
Lighting6 = 100
Lighting7 = 67
Lighting8 = 79
Lighting9 = 52
Lighting10 = 95
The LCD displays
“Lighting
74% - BRIGHT”
Motor for Shade turns on for 10
seconds
7
SoilMoisture1 = 12
SoilMoisture2 = 27
SoilMoisture3 = 5
SoilMoisture4 = 30
SoilMoisture5 = 18
SoilMoisture6 = 9
SoilMoisture7 = 22
SoilMoisture8 = 16
SoilMoisture9 = 33
SoilMoisture10 = 11
The LCD dislplays
“Soil Moisture
18% - DRY”
Relay for light bulb (a.k.a. sprinkler)
turn on
8
SoilMoisture1 = 63
SoilMoisture2 = 47
SoilMoisture3 = 70
SoilMoisture4 = 55
SoilMoisture5 = 41
SoilMoisture6 = 68
SoilMoisture7 = 60
SoilMoisture8 = 39
SoilMoisture9 = 75
SoilMoisture10 = 52
“The LCD displays
Soil Moisture
57% - NORMAL”
9
SoilMoisture1 = 92
SoilMoisture2 = 81
SoilMoisture3 = 99
SoilMoisture4 = 84
SoilMoisture5 = 77
SoilMoisture6 = 95
SoilMoisture7 = 88
SoilMoisture8 = 79
SoilMoisture9 = 100
SoilMoisture10 = 93
“The LCD displays
Soil Moisture
88% - NORMAL”
10
Reset Button is pressed
System resets
The LCD Displays
“System Reset”
The system returns to Active status
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RESULTS AND DISCUSSIONS
Table 4 Test Cases Results
Test
Num
Input Condition
Expected Output
Observed
Output
Remarks
1
Temp1 = 12
Temp2 = 10
Temp3 = 14
Temp4 = 13
Temp5 = 11
Temp6 = 10
Temp7 = 12
Temp8 = 14
Temp9 = 15
Temp10 = 17
The LCD displays
“Temperature
12 deg. C – COLD"
The LCD
displayed
“Temperature
12 deg. C –
COLD"
When the sensor reads
≤17°C, it displays
“Temperature: 12°C –
COLD,” showing correct
temperature detection, and
the Fan remains off
2
Temp1 = 25
Temp2 = 28
Temp3 = 23
Temp4 = 18
Temp5 = 20
Temp6 = 25
Temp7 = 26
Temp8 = 25
Temp9 = 24
Temp10 = 18
The LCD displays
“Temperature
20 deg. C –
NORMAL"
The LCD
displayed
“Temperature 28
deg. C -
NORMAL”
When the sensor reads
between 18°C and 28°C, it
displays “Temperature –
NORMAL,” indicating
correct temperature
detection, and the Fan
remains off
3
Temp1 = 45
Temp2 = 50
Temp3 = 80
Temp4 = 85
Temp5 = 75
Temp6 = 125
Temp7 = 124
Temp8 = 125
Temp9 = 120
Temp10 = 120
LCD displays
“Temperature
94 deg. C – HOT"
Motor for Fan turns on
for 10 seconds
The LCD
displayed
“Temperature
48 deg. C –
HOT"
When the sensor reads 29°C
or higher, it displays
“Temperature – HOT,”
confirming accurate
temperature detection, and
the Fan turns on.
4
Lighting1 = 7
Lighting2 = 12
Lighting3 = 3
Lighting4 = 9
Lighting5 = 0
Lighting6 = 14
Lighting7 = 6
Lighting8 = 10
Lighting9 = 4
Lighting10 = 13
The LCD displays
“Lighting
7% - DARK"
The LCD
displayed
“Lighting:
12% – DARK"
When the light level is below
25%, the LCD displays
“Lighting – DARK,”
confirming accurate light
detection,and the Shade
remains off
5
Lighting1 = 33
Lighting2 = 40
Lighting3 = 27
Lighting4 = 36
The LCD displays
“Lighting
34% - NORMAL”
The LCD
displayed
“Lighting:
When the light level is
between 25% and 45%, the
LCD displays “Lighting –
NORMAL,” indicating
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Lighting5 = 42
Lighting6 = 25
Lighting7 = 38
Lighting8 = 31
Lighting9 = 44
Lighting10 = 29
27% –
NORMAL"
accurate light detection, and
the shade remains off
6
Lighting1 = 73
Lighting2 = 91
Lighting3 = 58
Lighting4 = 84
Lighting5 = 46
Lighting6 = 100
Lighting7 = 67
Lighting8 = 79
Lighting9 = 52
Lighting10 = 95
The LCD displays
“Lighting
74% - BRIGHT”
Motor for Shade turns
on for 10 seconds
The LCD
Displayed
“Lighting 80% -
BRIGHT”
When the light level is 46%
or higher, the LCD displays
“Lighting – BRIGHT,”
indicating accurate light
detection, and the shade
turns on
7
SoilMoisture1 = 12
SoilMoisture2 = 27
SoilMoisture3 = 5
SoilMoisture4 = 30
SoilMoisture5 = 18
SoilMoisture6 = 9
SoilMoisture7 = 22
SoilMoisture8 = 16
SoilMoisture9 = 33
SoilMoisture10 = 11
The LCD displays
“Soil Moisture
18% - DRY”
Relay for light bulb
(a.k.a. sprinkler) turn
on
The LCD
displayed “Soil
Moisture 26% -
DRY”
When the soil moisture is
below 35%, the LCD
displays “Soil Moisture –
DRY,” and the light bulb
turns on.
8
SoilMoisture1 = 63
SoilMoisture2 = 47
SoilMoisture3 = 70
SoilMoisture4 = 55
SoilMoisture5 = 41
SoilMoisture6 = 68
SoilMoisture7 = 60
SoilMoisture8 = 39
SoilMoisture9 = 75
SoilMoisture10 = 52
The LCD displays
“Soil Moisture
57% - NORMAL”
The LCD
displayed “Soil
Moisture 60% -
NORMAL”
When the soil moisture is
between 36% and 75%, the
LCD displays “Soil Moisture
– NORMAL,” and the light
bulb turns off.
9
SoilMoisture1 = 92
SoilMoisture2 = 81
SoilMoisture3 = 99
SoilMoisture4 = 84
SoilMoisture5 = 77
SoilMoisture6 = 95
SoilMoisture7 = 88
SoilMoisture8 = 79
SoilMoisture9 = 100
SoilMoisture10 = 93
The LCD displays
“Soil Moisture
88% - WET”
The LCD
displays
“Soil Moisture
83% - WET”
When the soil moisture is
75% or higher, the LCD
displays “Soil Moisture –
WET,” and the light bulb
remains off.
10
Reset Button is
pressed
System resets
The LCD Displays
“System Reset”
The system returns to
Active status
The LCD
displays
“System Reset,”
and the system
returns to active
status.
The LCD shows Resetting
status for 3 seconds, after
which the system returns to
active status.
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Figure 5.1 SMART Greenhouse Monitoring System TinkerCAD Test Case 1 Result
If the temperature sensor detects 17°C or lower, the LCD displays “Temperature - COLD,” confirming correct
detection, with the fan remaining off.
Figure 5.2 SMART Greenhouse Monitoring System TinkerCAD Test Case 2 Result
If the temperature sensor reads from 18°C to 28°C, the LCD displays “Temperature - NORMAL,” confirming
correct detection, while the fan remains off.
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Figure 5.3 SMART Greenhouse Monitoring System TinkerCAD Test Case 3 Result
If the temperature sensor reads 29°C or above, the LCD shows “Temperature: 48°C – HOT,” indicating correct
detection, and the fan turns on.
Figure 5.4 SMART Greenhouse Monitoring System TinkerCAD Test Case 4 Result
If the light level is below 25%, the LCD shows “Lighting – DARK,” indicating accurate light detection, and the
shade remains off.
INTERNATIONAL JOURNAL OF RESEARCH AND INNOVATION IN SOCIAL SCIENCE (IJRISS)
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Figure 5.5 SMART Greenhouse Monitoring System TinkerCAD Test Case 5 Result
When the light level falls below 25%, the LCD displays “Lighting – DARK,” indicating correct light detection,
and the shade remains off.
Figure 5.6 SMART Greenhouse Monitoring System TinkerCAD Test Case 6 Result
When the light level reaches 46% or higher, the LCD shows “Lighting – BRIGHT,” indicating correct light
detection, and the shade turns on.
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Figure 5.7 SMART Greenhouse Monitoring System TinkerCAD Test Case 7 Result
If the soil moisture drops below 35%, the LCD shows “Soil Moisture – DRY,” and the light bulb turns on.
Figure 5.8 SMART Greenhouse Monitoring System TinkerCAD Test Case 8 Result
If the soil moisture is between 36% and 75%, the LCD shows “Soil Moisture – NORMAL,” and the light bulb
turns off.
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Figure 5.9 SMART Greenhouse Monitoring System TinkerCAD Test Case 9 Result
If the soil moisture is 75% or above, the LCD shows “Soil Moisture – WET,” and the light bulb remains off.
Figure 5.10 SMART Greenhouse Monitoring System TinkerCAD Test Case 10 Result
The system reset for 3 seconds and the system returned to active status.
CONCLUSION AND RECOMMENDATIONS
The simulated Greenhouse Monitoring System successfully demonstrated the fundamental concept of
monitoring and managing environmental factors such as temperature, humidity, and soil moisture using an
Arduino-based setup in TinkerCAD. Although the system does not utilize real-time data, the simulation
effectively illustrated how various components interact and respond to different conditions. On the other hand,
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due to TinkerCAD Code Block's limited features and capabilities, the developers were constrained to developing
the fundamental features only. Features such as threshold control, and independent timers for each actuator,
were not feasible since the developers reached the maximum allowable number of blocks and pin numbers.
It is recommended that future enhancements focus on developing a more integrated control logic that allows
multiple sensors to work together for coordinated system responses. Incorporating simultaneous sensor data
processing would improve accuracy, efficiency, and automation, resulting in a more realistic and adaptive
greenhouse monitoring system suitable for practical implementation.
REFERENCES
1. Dolom, P., Calimag, C., Nicmic1, J., Eleazar1, P., Casin, Ma., Villanueva, Ma., Garcia, D., & Buot, M.
(2023). Assessment of climate change vulnerabilitiesof upland vegetable farmers in selectedareas in
Benguet, Philippines. https://ovcre.uplb.edu.ph/journals-uplb/ index.php/EDJ/article/view/954/807
2. Akpulonu,V., Agbese, A., Obizue C., Naterm A., Abdulsalam, N., Ogochukwu, I., Aminu-Baba, M., &
Ene, A. (2024, July 9). Design and construction of Arduino based greenhouse monitoring system using
IoT. https://wjaets.com/sites/default/files/WJAETS-2024-0280.pdf
3. Patil, M., Patil, T., Paradhi, V., Patil, J., & Naz, F. (2024, May). Arduino UNO-based Internet of Things
greenhouse monitoring and control system. https://tijer.org/tijer/papers/TIJER2405229.pdf
4. Hoque, M., Ahmed, M. & Hannan, S. (2020, April). An automated greenhouse monitoring and
controlling system using sensors and solar power.
https://www.researchgate.net/publication/341031255_An_Automated_Greenhouse_Monitoring_and_C
ontrolling_System_using_Sensors_and_Solar_Power
