SlideShare a Scribd company logo
International Journal of Electrical and Computer Engineering (IJECE)
Vol. 8, No. 4, August 2018, pp. 2046~2053
ISSN: 2088-8708, DOI: 10.11591/ijece.v8i4.pp2046-2053  2046
Journal homepage: http://iaescore.com/journals/index.php/IJECE
Microcontroller-based Vertical Farming Automation System
Shomefun T. E., Awosope C. O. A., Ebenezer O. D.
Department of Electrical and Information Engineering, Covenant University, Canaan land, Nigeria
Article Info ABSTRACT
Article history:
Received Jul 24, 2017
Revised Jan 24, 2018
Accepted Mar 7, 2018
Food is a basic necessity of life. It is the means by which man is nourished
and strengthened to carry out his daily activities. The need for food for the
upkeep of man has placed agriculture at the helm of man’s affairs on earth.
With a rapidly increasing population on earth, man has invented newer and
innovative ways to cultivate crops. This cultivation is mainly concentrated in
rural areas of countries around the world; but with the massive urbanization
happening in the world today; it is becoming increasingly difficult to have
enough agricultural produce that will cater for the massive population.
Taking Nigeria as a case study, the increased urbanization has placed a
massive demand on land, energy and water resources within urban areas of
the country. Majority of the food consumed in the urban areas is cultivated in
the rural areas. This system however requires longer transportation times
from rural areas to urban areas which lead to contamination and spoilage in
many instances. This research paper provides a solution in which food crops
can be cultivated easily in urban areas by planting in vertically stacked layers
in order to save space and use minimal energy and water for irrigation.
Keyword:
Automation
Microcontroller
Vertical farming
Copyright © 2018 Institute of Advanced Engineering and Science.
All rights reserved.
Corresponding Author:
Shomefun T. E.,
Department of Electrical and Information Engineering,
Covenant University,
Canaan land, KM 10, Idiroko Rood, P. M. B. 1023, Ota, Ogun State, Nigeria.
Email: tobi.shomefun@covenantuniversity.edu.ng
1. INTRODUCTION
Farming refers to growing of crops or keeping animals by people for food and raw materials.
Farming is a part of agriculture. In relation to crop farming and livestock farming, the term “agriculture” may
be defined as the art and science of growing plants and other crops and the raising of animals for food, other
human needs, or economic gain. The farming industry is a very important sector in the economies of the
world; it is an indispensable sector, because farming is the sole source of food which remains our only source
of energy and vitality as humans.
It is estimated that by the year 2050, close to 80% of the world’s population will live in urban areas
which is highly significant, and the total population of the world will increase by 3 billion people [1], [2].
And that 70% increase in agricultural productivity will be required. As a result, a very large amount of land
may be required depending on the change in yield per hectare. Scientists are concerned that this large amount
of required farmland to mitigate this increase will not be available and that severe damage to the earth will be
caused by the added farmland due to land degradation and loss of soil fertility [3]-[5]. With respect to the
above, increment in crop production with modern day technology (such as automation) to maximise the use
of available land is therefore of necessity [1], [6]. Engineers have advised that Vertical farming is the
solution to increase productivity per area by extending plant cultivation into the vertical dimension, thus
enhancing land use efficiency for crop production [7]. Construction of vertical farm in different layers and
compartment is possible for large-scale production like the one of glasshouse and controlled environment
agriculture [8].
Int J Elec & Comp Eng ISSN: 2088-8708 
Microcontroller-based Vertical Farming Automation System (Shomefun T. E.)
2047
Nomenclatures Abbreviations
AC : Alternating Current
CEA : Controlled-Environment Agriculture
DC : Direct Current
HHS : Horizontal Hydroponic System
IDE : Integrated Development Environment
SWT : Soil Water Tension
VFAS : Vertical Farming Automation System
VFS : Vertical Farming System
Vertical farming is the practice of producing food in vertically stacked layers. It offers many
advantages over conventional horizontal-based farming in terms of increased crop production, conservation
of resources, impact on human health, urban growth, energy sustainability, etc. If designed properly, Vertical
farming may eliminate the need to create additional farmland, help create a cleaner environment, and solve
the food crisis in growing cities and suburbs.
The modern idea of vertical farming uses controlled-environment agriculture (CEA) technology [8],
where all environmental factors can be controlled. These facilities utilize artificial control of light,
environmental control (humidity, temperature, gases) and fertigation, but crops are only grown in an aqueous
solution which nullifies its comparison with conventional horizontal soil planting system. However, a
research on vertical soil planting was implemented in [1], where plants were grown in upright cylindrical
columns and compared against a conventional horizontal hydroponic system (HHS). The vertical farming
system (VFS) produced more crops per unit of growing floor area when compared with the HHS, but light
distribution and shoot fresh weight decreased significantly in the VFS from top to base.
Recently, automation is considered to be an essential technology that is used in many fields and
projects for control and monitoring of various phenomena such as the water supply, room temperature,
voltage fluctuation, etc. [9]. Hence, this work aims to design a low-cost vertical farming automation system
(VFAS) that allows for more efficient production of food by implementing low voltage sensor technology so
as to minimize wastage of resources and maximize returns. By employing humidity sensors, light sensors,
and temperature sensors, real time performance of the plant can be recorded thereby determining appropriate
time to provide water and light to the plants.
According to [10], disease infection can be found crops which in turn disrupts their production in
terms of quantity and quality. Hence, this work finds significance in the fact that it improves the quantity and
quality of crops grown on a small area of land while minimizing resources used, as opposed to the traditional
method of farming. This work is embarked upon because it is a direct means of impacting food production
and consumption for those alive, at the same time, produce a viable product for the marketplace which would
be made affordable to individuals. The scope of this work will cover the design and building of the vertical
farm, programming micro controller for its automation, actual testing with live plants, and implementation of
the completed work.
2. RESEARCH MATERIALS AND METHODS
Explaining research chronological, including research design, research procedure (in the form of
algorithms, Pseudocode or other), how to test and data acquisition [1]-[3]. The description of the course of
research should be supported references, so the explanation can be accepted scientifically [2], [4]. In this
work, the vertical farm designed, comprises two distinct soil layers with individual lighting, water supply
unit, moisture sensor and temperature sensor. The front end of the design features solenoid valves which
would feed water through a low voltage water pump from an over-head water tank. The lighting fixtures for
the farm would automatically brighten up or dim in intensity based on the level of lighting in its environs.
At the back end, the farmer has the ability to view live data of the plant’s performance. The farmer
can switch between automatic and manual modes which would allow him to perform routine maintenance on
the farm during which he can manually control the irrigation. The materials used to realise this design
include:
a. Sensors
Soil moisture sensor with analogue and digital outputs is to be placed in the soil, and calibrated to
take readings. The output from these sensors is used to determine the switching on and off of the solenoid
valves. The light sensor placed on the vertical farm structure monitors the light intensity of the environment,
and adjusts the internal lighting to suit the plant needs. Atmospheric temperature sensor gives output data
which is used to control the switching ON and OFF of the fans to control the temperature of the farm.
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 8, No. 4, August 2018 : 2046 – 2053
2048
b. Water pump
12-volt water pump is controlled by the micro-controller, based on analogue readings from the soil
moisture sensor, and it is used to feed the solenoid valves which in turn activate water sprinklers.
c. Power supply
The phase voltage of the AC mains to the VAFS is stepped down from 239.6V to 15V and rectified
to 12V DC (to power solenoid valves, water pump and fans) and 5V DC (to power micro-controller and
liquid crystal display).
2.1. Systems design
This design requires that the automatic irrigation system is able to continuously sense the moisture
level of the soil. The system will be able to respond appropriately by watering the soil and then shut down the
water supply when the required level of moisture is achieved. The system design of this project has different
sub-systems integrated together. There are three sub-systems. These are power supply sub-system, sensing
sub-system, and control sub-system. Figure 1 show the schematic diagram of the project and Figure 2
System’s block diagram.
Figure 1. Schematic diagram of the project
Figure 2. System’s block diagram
2.1.1. Power supply sub-system
The lighting system (fluorescent lamp) is powered from AC mains. The microcontroller, i.e. the
Arduino Uno is powered from a 12 V DC adapter, and the solenoid valves were powered from a 5V DC
adapter.
2.1.2. Sensing sub-system
The concept of automation, as complex as it may seem, is simply a normal electronic system which
integrates a feedback mechanism referred to as a sensor. The sensor acts as an indicator to the enactment of a
desired result; with sensors, control of any system is realizable.
Generally, two types of sensors may be used for measurements of soil water status; those that
measure soil water potential (also called tension or suction) and those that measure volumetric water content
directly. Soil water tension (SWT) represents the magnitude of the suction (negative pressure) which the
plant roots have to create to free soil water from the attraction of the soil, and move it into the root cells.
The dryer the soil, the higher the suction needed, hence the higher the SWT. SWT is commonly expressed in
centibars or kilopascals.
2.1.3. Soil moisture sensor
Soil moisture sensors measure the volumetric water content in soil. Since the direct gravimetric
measurement of free soil moisture requires removing, drying, and weighting of a sample, soil moisture
Int J Elec & Comp Eng ISSN: 2088-8708 
Microcontroller-based Vertical Farming Automation System (Shomefun T. E.)
2049
sensors measure the volumetric water content indirectly by using some other property of the soil, such as
electrical resistance, dielectric constant, or interaction with neutrons, as a proxy for the moisture content. The
relation between the measured property and soil moisture must be calibrated and may vary depending on
environmental factors such as soil type, temperature, or electric conductivity. Reflected microwave radiation
is affected by the soil moisture and is used for remote sensing in hydrology and agriculture. Portable probe
instruments can therefore be used by farmers or gardeners. Figure 3 show the spark fun soil moisture sensor.
Figure 3. Spark fun soil moisture sensor
2.2. Sensing system flow-chart
The following flow chart shown in Figure 4 describes the basic operation of the moisture sensing
system used in this work. First, the soil moisture sensor measures the soil resistance at intervals, sends the
information as a digital signal to the sensor; the microcontroller then decides whether or not the soil
resistance is high or not (depending on the pre-set thresholds and soil type). If the soil moisture level is lower
than the pre-set threshold, the microcontroller actuates the submersible water pump and solenoid valves
which provide water to the soil via drip irrigation method.
Figure 4. Flowchart describing the sensing system
3. SYSTEM IMPLEMENTATION
The whole automated vertical farming irrigation system has both mechanical and electrical
components. The implementation of the system design was done using readily and locally available
materials. This required that some mechanical constructions must be carried out in addition to the
development of the electronic circuitry. Figure 5 show the 2D Render of vertical farm structure.
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 8, No. 4, August 2018 : 2046 – 2053
2050
Figure 5. 2D Render of vertical farm structure
3.1. Mechanical construction
The mechanical constructions carried out in this design were those of aluminium works and piping
as shown in Figure 6.
Figure 6. The constructed aluminium framework with piping
3.2. Electrical circuitry
Implementation of the electronic circuitry involved physical simulation of the circuit using a
breadboard to ensure proper operation and the final implementation of the circuit on a vero board. Figure 7
show the sensing and control circuit.
Int J Elec & Comp Eng ISSN: 2088-8708 
Microcontroller-based Vertical Farming Automation System (Shomefun T. E.)
2051
Figure 7. Sensing and control circuit
3.3. Microcontroller programming
The microcontroller used in this project is the Arduino Uno, which has an Arduino integrated
development environment (IDE), and it is programmed using C programming language.
The basic functions of the code are outlined below:
a. Receive data from the analog sensors.
b. Convert the analog signals to digital information using a digital/analog (D/A) converter.
c. Interpret the digital information.
d. Send control signals based on the received digital information.
4. RESULTS AND ANALYSIS
The complete system was tested for correct operation by applying the system to irrigate different
soil samples. Below is the table of results. Table 1 shows the amount of time which the system took to
irrigate different soil samples in different initial states. The data is represented in the following table:
Table 1. Results from Tests Carried out on Various Soil Samples and Soil Types
SOIL SAMPLE SOIL TYPE INITIAL SOIL STATE (%
DRYNESS)
IRRIGATION TIME
(SECONDS)
A SANDY 100 6
B SANDY 70 4
C SANDY 50 2
D LOAMY 100 12
E LOAMY 70 7
F LOAMY 50 3
G CLAYEY 100 16
H CLAYEY 70 9
I CLAYEY 50 4
It can be seen from the results obtained in Table 1 that the system responded linearly with respect to
the degree of wetness for the three soil types. Figure 8 shows this linearity in a clear form. There is a linear
relationship between the degree of soil dryness and the time taken to irrigate the soil. At 50% dryness,
irrigation duration was 2.0, 3.0, and 4.0 seconds for sandy, loamy and clayey soil respectively, while at 70%
 ISSN: 2088-8708
Int J Elec & Comp Eng, Vol. 8, No. 4, August 2018 : 2046 – 2053
2052
dryness, irrigation duration increased to 4.0, 7.0, and 9.0 seconds for sandy, loamy, and clayey soil
respectively. It is seen that irrigation generally took longer in loamy soil than in sandy soil, and irrigation
took the longest in clayey soil. Figure 8 show the scatter diagram of the variation of irrigation time with soil
type.
Figure 8. The scatter diagram of the variation of irrigation time with soil type
5. CONCLUSION
This work is the design and implementation of a microcontroller-based vertical farming automation
system. The main aim of the work is to minimize the power consumption and water consumption involved in
the cultivation of plants. This is a major contribution when we consider the scarce availability of power and
water in the area investigated. To achieve this, a DC water pump and solenoid valves were deployed. These
were controlled using the Arduino Uno microcontroller. The microcontroller was programmed to activate the
solenoid valves to water the plants when the moisture content of the soil drops below a certain threshold. The
soil is irrigated until the soil moisture rises above a pre-set threshold, at which the solenoid valves are
deactivated. By automating the drip irrigation process, water conservation is demonstrated because the soil is
watered only when it needs to be.
Power is conserved in two ways:
a. The sensing and control circuits are direct current (DC)-controlled, and the control system is activated
only when data is received from the microcontroller.
b. Energy saving fluorescents are used rather than incandescent lamps in order to reduce the amount of
heat generated by the lighting system.
The act of planting in vertically stacked layers also ensures that land space is conserved. Apart from
the fact that this work conserve energy, water and land space usage, it brings about farming under control and
monitor situations. Control over variety of pests and intruders of any kind. From the amount of literature
reviewed, the present work is the first to delve into this power and water conservation idea in the vertical
farming automation system in Nigeria.
ACKNOWLEDGEMENTS
The authors would like to express special thanks and gratitude to Covenant Universiti for their
support.
REFERENCES
[1] Corvalan, C., S. Hales, and A. J. McMichael, “Ecosystems and human well-being: health synthesis,” World
Health Organization, 2005.
[2] Tilman, D., C. Balzer, J. Hill, and B. L. Befort “Global food demand and the sustainable intensification of
agriculture,” Proc. Natl Acad. Sci. 2011, USA 108, pp. 20260-20264.
[3] Bonan, G. “Forests and climate change: forcing, feedbacks, and the climate benefits of forests,” Science, vol. 320,
2008, pp. 1444-1449
[4] Foley, J. A., N. Ramankutty, K. A. Brauman, E. S. Cassidy, J. S. Gerber, M. Johnston, et al. “Solutions for a
cultivated planet,” 2011, Nature, vol. 478, pp. 337-342.
0
5
10
15
20
0 20 40 60 80 100 120
SANDY LOAMY CLAYEY
Int J Elec & Comp Eng ISSN: 2088-8708 
Microcontroller-based Vertical Farming Automation System (Shomefun T. E.)
2053
[5] Lambin, E. F., H. K. Gibbs, L. Ferreira, R. Grau, P. Mayaux, P. Meyfroidt, et al., “Estimating the world’s
potentially available cropland using a bottom-up approach”, Glob. Environ. Change, 2013, vol. 23, pp. 892-901.
[6] Lambin, E. F., and P. Meyfroidt, “Global land use change, economic globalization, and the looming land scarcity,”
Proc. Natl Acad. Sci., 2011, USA 108, pp. 3465-3472.
[7] Eigenbrod, C., and N. Gruda, “Urban vegetable for food security in cities. A review,” Agron Sustain., 2014 Dev.,
35, pp. 483-498.
[8] Despommier, D., “The vertical farm: controlled environment agriculture carried out in tall buildings would create
greater food safety and security for large urban populations,” J. Für Verbraucherschutz Leb., 2011, vol. 6,
pp. 233-236.
[9] A. A. Alkandari and S. Moein, "Implementation of Monitoring System for Air Quality using Raspberry Pi:
Experimental Study," Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), vol. 10,
2018.
[10] M. M. Kamal, A. N. I. Masazhar, and F. A. Rahman, "Classification of Leaf Disease from Image Processing
Technique," Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), vol. 10, 2018.

More Related Content

What's hot

Efficiency and Yield Gap Analysis in Potato Production: The Case of Potato Fa...
Efficiency and Yield Gap Analysis in Potato Production: The Case of Potato Fa...Efficiency and Yield Gap Analysis in Potato Production: The Case of Potato Fa...
Efficiency and Yield Gap Analysis in Potato Production: The Case of Potato Fa...Premier Publishers
 
Energy Use in Agriculture Production and Processing for Sustainable Development
Energy Use in Agriculture Production and Processing for Sustainable DevelopmentEnergy Use in Agriculture Production and Processing for Sustainable Development
Energy Use in Agriculture Production and Processing for Sustainable DevelopmentDrSKGOYAL
 
Future Technologies in Agriculture
Future Technologies in AgricultureFuture Technologies in Agriculture
Future Technologies in AgricultureKiran Timilsina
 
IRJET- Vertical Farming with Smart Robotics
IRJET- Vertical Farming with Smart RoboticsIRJET- Vertical Farming with Smart Robotics
IRJET- Vertical Farming with Smart RoboticsIRJET Journal
 
How big data can help in reducing the affects of climate change
How big data can help in reducing the affects of climate changeHow big data can help in reducing the affects of climate change
How big data can help in reducing the affects of climate changeDANISH HAKIM
 
status of farm mechanisation
status of farm mechanisationstatus of farm mechanisation
status of farm mechanisationParminder Singh
 
Impact of drip irrigation system in Bikaner district of Rajasthan
Impact of drip irrigation system in Bikaner district of RajasthanImpact of drip irrigation system in Bikaner district of Rajasthan
Impact of drip irrigation system in Bikaner district of Rajasthanhindagrihorticulturalsociety
 
Study – Vertical farming - November 2017
Study – Vertical farming  - November 2017Study – Vertical farming  - November 2017
Study – Vertical farming - November 2017paul young cpa, cga
 
Concept Design and Analysis of Multipurpose Farm Equipment
Concept Design and Analysis of Multipurpose Farm EquipmentConcept Design and Analysis of Multipurpose Farm Equipment
Concept Design and Analysis of Multipurpose Farm EquipmentAM Publications
 
T6 karajeh case study-egyptsudan(3)
T6 karajeh case study-egyptsudan(3)T6 karajeh case study-egyptsudan(3)
T6 karajeh case study-egyptsudan(3)NENAwaterscarcity
 
The impact of technology in agriculture
The impact of technology in agricultureThe impact of technology in agriculture
The impact of technology in agricultureCocarlea Madalin
 
Job trends in agriculture with technology acm
Job trends in agriculture with technology acmJob trends in agriculture with technology acm
Job trends in agriculture with technology acmAlberto Cerda Mico
 
Partnerships and the Future of Agriculture Technology
Partnerships and the Future of Agriculture TechnologyPartnerships and the Future of Agriculture Technology
Partnerships and the Future of Agriculture TechnologyCIMMYT
 
The Role of Technology in Agriculture
The Role of Technology in AgricultureThe Role of Technology in Agriculture
The Role of Technology in AgricultureDuPont
 
Agriculture 4.0- The future of farming technology
Agriculture 4.0- The future of farming technology Agriculture 4.0- The future of farming technology
Agriculture 4.0- The future of farming technology Dishant James
 
yeild responce charaterstics for brinjal crop
yeild responce charaterstics for brinjal cropyeild responce charaterstics for brinjal crop
yeild responce charaterstics for brinjal cropSourav Sandesh Minj
 

What's hot (19)

Efficiency and Yield Gap Analysis in Potato Production: The Case of Potato Fa...
Efficiency and Yield Gap Analysis in Potato Production: The Case of Potato Fa...Efficiency and Yield Gap Analysis in Potato Production: The Case of Potato Fa...
Efficiency and Yield Gap Analysis in Potato Production: The Case of Potato Fa...
 
Ai in farming
Ai in farmingAi in farming
Ai in farming
 
Energy Use in Agriculture Production and Processing for Sustainable Development
Energy Use in Agriculture Production and Processing for Sustainable DevelopmentEnergy Use in Agriculture Production and Processing for Sustainable Development
Energy Use in Agriculture Production and Processing for Sustainable Development
 
Future Technologies in Agriculture
Future Technologies in AgricultureFuture Technologies in Agriculture
Future Technologies in Agriculture
 
Smart Green Revolution
Smart Green RevolutionSmart Green Revolution
Smart Green Revolution
 
IRJET- Vertical Farming with Smart Robotics
IRJET- Vertical Farming with Smart RoboticsIRJET- Vertical Farming with Smart Robotics
IRJET- Vertical Farming with Smart Robotics
 
How big data can help in reducing the affects of climate change
How big data can help in reducing the affects of climate changeHow big data can help in reducing the affects of climate change
How big data can help in reducing the affects of climate change
 
status of farm mechanisation
status of farm mechanisationstatus of farm mechanisation
status of farm mechanisation
 
Impact of drip irrigation system in Bikaner district of Rajasthan
Impact of drip irrigation system in Bikaner district of RajasthanImpact of drip irrigation system in Bikaner district of Rajasthan
Impact of drip irrigation system in Bikaner district of Rajasthan
 
Study – Vertical farming - November 2017
Study – Vertical farming  - November 2017Study – Vertical farming  - November 2017
Study – Vertical farming - November 2017
 
Concept Design and Analysis of Multipurpose Farm Equipment
Concept Design and Analysis of Multipurpose Farm EquipmentConcept Design and Analysis of Multipurpose Farm Equipment
Concept Design and Analysis of Multipurpose Farm Equipment
 
T6 karajeh case study-egyptsudan(3)
T6 karajeh case study-egyptsudan(3)T6 karajeh case study-egyptsudan(3)
T6 karajeh case study-egyptsudan(3)
 
Indian Agriculture and Mechanization
Indian Agriculture and Mechanization Indian Agriculture and Mechanization
Indian Agriculture and Mechanization
 
The impact of technology in agriculture
The impact of technology in agricultureThe impact of technology in agriculture
The impact of technology in agriculture
 
Job trends in agriculture with technology acm
Job trends in agriculture with technology acmJob trends in agriculture with technology acm
Job trends in agriculture with technology acm
 
Partnerships and the Future of Agriculture Technology
Partnerships and the Future of Agriculture TechnologyPartnerships and the Future of Agriculture Technology
Partnerships and the Future of Agriculture Technology
 
The Role of Technology in Agriculture
The Role of Technology in AgricultureThe Role of Technology in Agriculture
The Role of Technology in Agriculture
 
Agriculture 4.0- The future of farming technology
Agriculture 4.0- The future of farming technology Agriculture 4.0- The future of farming technology
Agriculture 4.0- The future of farming technology
 
yeild responce charaterstics for brinjal crop
yeild responce charaterstics for brinjal cropyeild responce charaterstics for brinjal crop
yeild responce charaterstics for brinjal crop
 

Similar to Microcontroller-based Vertical Farming Automation System

Advancement of a smart fibrous capillary irrigation management system with an...
Advancement of a smart fibrous capillary irrigation management system with an...Advancement of a smart fibrous capillary irrigation management system with an...
Advancement of a smart fibrous capillary irrigation management system with an...journalBEEI
 
Internet of things based automated monitoring for indoor aeroponic system
Internet of things based automated monitoring for indoor  aeroponic systemInternet of things based automated monitoring for indoor  aeroponic system
Internet of things based automated monitoring for indoor aeroponic systemIJECEIAES
 
Microcontroller based adaptive irrigation system using wsn for variety crops ...
Microcontroller based adaptive irrigation system using wsn for variety crops ...Microcontroller based adaptive irrigation system using wsn for variety crops ...
Microcontroller based adaptive irrigation system using wsn for variety crops ...eSAT Publishing House
 
Solar Powered Automatic Drip Irrigation System (SPADIS) using Wireless Sensor...
Solar Powered Automatic Drip Irrigation System (SPADIS) using Wireless Sensor...Solar Powered Automatic Drip Irrigation System (SPADIS) using Wireless Sensor...
Solar Powered Automatic Drip Irrigation System (SPADIS) using Wireless Sensor...IRJET Journal
 
IRJET- A Novel Approach to Smart Farming
IRJET- A Novel Approach to Smart FarmingIRJET- A Novel Approach to Smart Farming
IRJET- A Novel Approach to Smart FarmingIRJET Journal
 
IoT Based Smart Horticulture Monitoring System
IoT Based Smart Horticulture Monitoring SystemIoT Based Smart Horticulture Monitoring System
IoT Based Smart Horticulture Monitoring Systemijtsrd
 
IRJET- Boosting Irrigation using Wsn with Blaney-Criddle : Indian Agriculture
IRJET- Boosting Irrigation using Wsn with Blaney-Criddle : Indian AgricultureIRJET- Boosting Irrigation using Wsn with Blaney-Criddle : Indian Agriculture
IRJET- Boosting Irrigation using Wsn with Blaney-Criddle : Indian AgricultureIRJET Journal
 
A Review Paper on Solar Panel Based Smart Irrigation System using GSM Module
A Review Paper on Solar Panel Based Smart Irrigation System using GSM ModuleA Review Paper on Solar Panel Based Smart Irrigation System using GSM Module
A Review Paper on Solar Panel Based Smart Irrigation System using GSM Moduleijtsrd
 
An efficient hydro-crop growth prediction system for nutrient analysis using ...
An efficient hydro-crop growth prediction system for nutrient analysis using ...An efficient hydro-crop growth prediction system for nutrient analysis using ...
An efficient hydro-crop growth prediction system for nutrient analysis using ...IJECEIAES
 
IRJET- An Effective Automated Irrigation Control and Monitoring System us...
IRJET-  	  An Effective Automated Irrigation Control and Monitoring System us...IRJET-  	  An Effective Automated Irrigation Control and Monitoring System us...
IRJET- An Effective Automated Irrigation Control and Monitoring System us...IRJET Journal
 
IRJET- Agriculture Irrigation Water Demand Forecasting using Lora Technology
IRJET-  	  Agriculture Irrigation Water Demand Forecasting using Lora TechnologyIRJET-  	  Agriculture Irrigation Water Demand Forecasting using Lora Technology
IRJET- Agriculture Irrigation Water Demand Forecasting using Lora TechnologyIRJET Journal
 
Review on microcontroller based monitoring system for agriculture
Review on microcontroller based monitoring system for agricultureReview on microcontroller based monitoring system for agriculture
Review on microcontroller based monitoring system for agricultureIRJET Journal
 
Microcontroller Based automatic AQUAPONICS SYSTEM
Microcontroller Based automatic AQUAPONICS SYSTEMMicrocontroller Based automatic AQUAPONICS SYSTEM
Microcontroller Based automatic AQUAPONICS SYSTEMIRJET Journal
 
An internet of things-based irrigation and tank monitoring system
An internet of things-based irrigation and tank monitoring systemAn internet of things-based irrigation and tank monitoring system
An internet of things-based irrigation and tank monitoring systemIJICTJOURNAL
 
IRJET- Review on IoT in Agricultural Crop Protection and Power Generation
IRJET-  	  Review on IoT in Agricultural Crop Protection and Power GenerationIRJET-  	  Review on IoT in Agricultural Crop Protection and Power Generation
IRJET- Review on IoT in Agricultural Crop Protection and Power GenerationIRJET Journal
 
development of smart automated irrigation system
development of smart automated irrigation systemdevelopment of smart automated irrigation system
development of smart automated irrigation systemIJEAB
 
IRJET- Smart Agriculture System using Thingspeak and Mobile Notification
IRJET- Smart Agriculture System using Thingspeak and Mobile NotificationIRJET- Smart Agriculture System using Thingspeak and Mobile Notification
IRJET- Smart Agriculture System using Thingspeak and Mobile NotificationIRJET Journal
 
IRJET- A Bluetooth Based Automatic Irrigation System
IRJET- A Bluetooth Based Automatic Irrigation SystemIRJET- A Bluetooth Based Automatic Irrigation System
IRJET- A Bluetooth Based Automatic Irrigation SystemIRJET Journal
 

Similar to Microcontroller-based Vertical Farming Automation System (20)

Advancement of a smart fibrous capillary irrigation management system with an...
Advancement of a smart fibrous capillary irrigation management system with an...Advancement of a smart fibrous capillary irrigation management system with an...
Advancement of a smart fibrous capillary irrigation management system with an...
 
Internet of things based automated monitoring for indoor aeroponic system
Internet of things based automated monitoring for indoor  aeroponic systemInternet of things based automated monitoring for indoor  aeroponic system
Internet of things based automated monitoring for indoor aeroponic system
 
Microcontroller based adaptive irrigation system using wsn for variety crops ...
Microcontroller based adaptive irrigation system using wsn for variety crops ...Microcontroller based adaptive irrigation system using wsn for variety crops ...
Microcontroller based adaptive irrigation system using wsn for variety crops ...
 
Solar Powered Automatic Drip Irrigation System (SPADIS) using Wireless Sensor...
Solar Powered Automatic Drip Irrigation System (SPADIS) using Wireless Sensor...Solar Powered Automatic Drip Irrigation System (SPADIS) using Wireless Sensor...
Solar Powered Automatic Drip Irrigation System (SPADIS) using Wireless Sensor...
 
IRJET- A Novel Approach to Smart Farming
IRJET- A Novel Approach to Smart FarmingIRJET- A Novel Approach to Smart Farming
IRJET- A Novel Approach to Smart Farming
 
IoT Based Smart Horticulture Monitoring System
IoT Based Smart Horticulture Monitoring SystemIoT Based Smart Horticulture Monitoring System
IoT Based Smart Horticulture Monitoring System
 
IRJET- Boosting Irrigation using Wsn with Blaney-Criddle : Indian Agriculture
IRJET- Boosting Irrigation using Wsn with Blaney-Criddle : Indian AgricultureIRJET- Boosting Irrigation using Wsn with Blaney-Criddle : Indian Agriculture
IRJET- Boosting Irrigation using Wsn with Blaney-Criddle : Indian Agriculture
 
zigbee - Copy.pptx
zigbee - Copy.pptxzigbee - Copy.pptx
zigbee - Copy.pptx
 
A Review Paper on Solar Panel Based Smart Irrigation System using GSM Module
A Review Paper on Solar Panel Based Smart Irrigation System using GSM ModuleA Review Paper on Solar Panel Based Smart Irrigation System using GSM Module
A Review Paper on Solar Panel Based Smart Irrigation System using GSM Module
 
An efficient hydro-crop growth prediction system for nutrient analysis using ...
An efficient hydro-crop growth prediction system for nutrient analysis using ...An efficient hydro-crop growth prediction system for nutrient analysis using ...
An efficient hydro-crop growth prediction system for nutrient analysis using ...
 
IRJET- An Effective Automated Irrigation Control and Monitoring System us...
IRJET-  	  An Effective Automated Irrigation Control and Monitoring System us...IRJET-  	  An Effective Automated Irrigation Control and Monitoring System us...
IRJET- An Effective Automated Irrigation Control and Monitoring System us...
 
IRJET- Agriculture Irrigation Water Demand Forecasting using Lora Technology
IRJET-  	  Agriculture Irrigation Water Demand Forecasting using Lora TechnologyIRJET-  	  Agriculture Irrigation Water Demand Forecasting using Lora Technology
IRJET- Agriculture Irrigation Water Demand Forecasting using Lora Technology
 
Review on microcontroller based monitoring system for agriculture
Review on microcontroller based monitoring system for agricultureReview on microcontroller based monitoring system for agriculture
Review on microcontroller based monitoring system for agriculture
 
A novel autonomous remote system applied in agriculture using transmission c...
A novel autonomous remote system applied in agriculture using  transmission c...A novel autonomous remote system applied in agriculture using  transmission c...
A novel autonomous remote system applied in agriculture using transmission c...
 
Microcontroller Based automatic AQUAPONICS SYSTEM
Microcontroller Based automatic AQUAPONICS SYSTEMMicrocontroller Based automatic AQUAPONICS SYSTEM
Microcontroller Based automatic AQUAPONICS SYSTEM
 
An internet of things-based irrigation and tank monitoring system
An internet of things-based irrigation and tank monitoring systemAn internet of things-based irrigation and tank monitoring system
An internet of things-based irrigation and tank monitoring system
 
IRJET- Review on IoT in Agricultural Crop Protection and Power Generation
IRJET-  	  Review on IoT in Agricultural Crop Protection and Power GenerationIRJET-  	  Review on IoT in Agricultural Crop Protection and Power Generation
IRJET- Review on IoT in Agricultural Crop Protection and Power Generation
 
development of smart automated irrigation system
development of smart automated irrigation systemdevelopment of smart automated irrigation system
development of smart automated irrigation system
 
IRJET- Smart Agriculture System using Thingspeak and Mobile Notification
IRJET- Smart Agriculture System using Thingspeak and Mobile NotificationIRJET- Smart Agriculture System using Thingspeak and Mobile Notification
IRJET- Smart Agriculture System using Thingspeak and Mobile Notification
 
IRJET- A Bluetooth Based Automatic Irrigation System
IRJET- A Bluetooth Based Automatic Irrigation SystemIRJET- A Bluetooth Based Automatic Irrigation System
IRJET- A Bluetooth Based Automatic Irrigation System
 

More from IJECEIAES

Bibliometric analysis highlighting the role of women in addressing climate ch...
Bibliometric analysis highlighting the role of women in addressing climate ch...Bibliometric analysis highlighting the role of women in addressing climate ch...
Bibliometric analysis highlighting the role of women in addressing climate ch...IJECEIAES
 
Voltage and frequency control of microgrid in presence of micro-turbine inter...
Voltage and frequency control of microgrid in presence of micro-turbine inter...Voltage and frequency control of microgrid in presence of micro-turbine inter...
Voltage and frequency control of microgrid in presence of micro-turbine inter...IJECEIAES
 
Enhancing battery system identification: nonlinear autoregressive modeling fo...
Enhancing battery system identification: nonlinear autoregressive modeling fo...Enhancing battery system identification: nonlinear autoregressive modeling fo...
Enhancing battery system identification: nonlinear autoregressive modeling fo...IJECEIAES
 
Smart grid deployment: from a bibliometric analysis to a survey
Smart grid deployment: from a bibliometric analysis to a surveySmart grid deployment: from a bibliometric analysis to a survey
Smart grid deployment: from a bibliometric analysis to a surveyIJECEIAES
 
Use of analytical hierarchy process for selecting and prioritizing islanding ...
Use of analytical hierarchy process for selecting and prioritizing islanding ...Use of analytical hierarchy process for selecting and prioritizing islanding ...
Use of analytical hierarchy process for selecting and prioritizing islanding ...IJECEIAES
 
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...IJECEIAES
 
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...IJECEIAES
 
Adaptive synchronous sliding control for a robot manipulator based on neural ...
Adaptive synchronous sliding control for a robot manipulator based on neural ...Adaptive synchronous sliding control for a robot manipulator based on neural ...
Adaptive synchronous sliding control for a robot manipulator based on neural ...IJECEIAES
 
Remote field-programmable gate array laboratory for signal acquisition and de...
Remote field-programmable gate array laboratory for signal acquisition and de...Remote field-programmable gate array laboratory for signal acquisition and de...
Remote field-programmable gate array laboratory for signal acquisition and de...IJECEIAES
 
Detecting and resolving feature envy through automated machine learning and m...
Detecting and resolving feature envy through automated machine learning and m...Detecting and resolving feature envy through automated machine learning and m...
Detecting and resolving feature envy through automated machine learning and m...IJECEIAES
 
Smart monitoring technique for solar cell systems using internet of things ba...
Smart monitoring technique for solar cell systems using internet of things ba...Smart monitoring technique for solar cell systems using internet of things ba...
Smart monitoring technique for solar cell systems using internet of things ba...IJECEIAES
 
An efficient security framework for intrusion detection and prevention in int...
An efficient security framework for intrusion detection and prevention in int...An efficient security framework for intrusion detection and prevention in int...
An efficient security framework for intrusion detection and prevention in int...IJECEIAES
 
Developing a smart system for infant incubators using the internet of things ...
Developing a smart system for infant incubators using the internet of things ...Developing a smart system for infant incubators using the internet of things ...
Developing a smart system for infant incubators using the internet of things ...IJECEIAES
 
A review on internet of things-based stingless bee's honey production with im...
A review on internet of things-based stingless bee's honey production with im...A review on internet of things-based stingless bee's honey production with im...
A review on internet of things-based stingless bee's honey production with im...IJECEIAES
 
A trust based secure access control using authentication mechanism for intero...
A trust based secure access control using authentication mechanism for intero...A trust based secure access control using authentication mechanism for intero...
A trust based secure access control using authentication mechanism for intero...IJECEIAES
 
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbers
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbersFuzzy linear programming with the intuitionistic polygonal fuzzy numbers
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbersIJECEIAES
 
The performance of artificial intelligence in prostate magnetic resonance im...
The performance of artificial intelligence in prostate  magnetic resonance im...The performance of artificial intelligence in prostate  magnetic resonance im...
The performance of artificial intelligence in prostate magnetic resonance im...IJECEIAES
 
Seizure stage detection of epileptic seizure using convolutional neural networks
Seizure stage detection of epileptic seizure using convolutional neural networksSeizure stage detection of epileptic seizure using convolutional neural networks
Seizure stage detection of epileptic seizure using convolutional neural networksIJECEIAES
 
Analysis of driving style using self-organizing maps to analyze driver behavior
Analysis of driving style using self-organizing maps to analyze driver behaviorAnalysis of driving style using self-organizing maps to analyze driver behavior
Analysis of driving style using self-organizing maps to analyze driver behaviorIJECEIAES
 
Hyperspectral object classification using hybrid spectral-spatial fusion and ...
Hyperspectral object classification using hybrid spectral-spatial fusion and ...Hyperspectral object classification using hybrid spectral-spatial fusion and ...
Hyperspectral object classification using hybrid spectral-spatial fusion and ...IJECEIAES
 

More from IJECEIAES (20)

Bibliometric analysis highlighting the role of women in addressing climate ch...
Bibliometric analysis highlighting the role of women in addressing climate ch...Bibliometric analysis highlighting the role of women in addressing climate ch...
Bibliometric analysis highlighting the role of women in addressing climate ch...
 
Voltage and frequency control of microgrid in presence of micro-turbine inter...
Voltage and frequency control of microgrid in presence of micro-turbine inter...Voltage and frequency control of microgrid in presence of micro-turbine inter...
Voltage and frequency control of microgrid in presence of micro-turbine inter...
 
Enhancing battery system identification: nonlinear autoregressive modeling fo...
Enhancing battery system identification: nonlinear autoregressive modeling fo...Enhancing battery system identification: nonlinear autoregressive modeling fo...
Enhancing battery system identification: nonlinear autoregressive modeling fo...
 
Smart grid deployment: from a bibliometric analysis to a survey
Smart grid deployment: from a bibliometric analysis to a surveySmart grid deployment: from a bibliometric analysis to a survey
Smart grid deployment: from a bibliometric analysis to a survey
 
Use of analytical hierarchy process for selecting and prioritizing islanding ...
Use of analytical hierarchy process for selecting and prioritizing islanding ...Use of analytical hierarchy process for selecting and prioritizing islanding ...
Use of analytical hierarchy process for selecting and prioritizing islanding ...
 
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...
Enhancing of single-stage grid-connected photovoltaic system using fuzzy logi...
 
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...
Enhancing photovoltaic system maximum power point tracking with fuzzy logic-b...
 
Adaptive synchronous sliding control for a robot manipulator based on neural ...
Adaptive synchronous sliding control for a robot manipulator based on neural ...Adaptive synchronous sliding control for a robot manipulator based on neural ...
Adaptive synchronous sliding control for a robot manipulator based on neural ...
 
Remote field-programmable gate array laboratory for signal acquisition and de...
Remote field-programmable gate array laboratory for signal acquisition and de...Remote field-programmable gate array laboratory for signal acquisition and de...
Remote field-programmable gate array laboratory for signal acquisition and de...
 
Detecting and resolving feature envy through automated machine learning and m...
Detecting and resolving feature envy through automated machine learning and m...Detecting and resolving feature envy through automated machine learning and m...
Detecting and resolving feature envy through automated machine learning and m...
 
Smart monitoring technique for solar cell systems using internet of things ba...
Smart monitoring technique for solar cell systems using internet of things ba...Smart monitoring technique for solar cell systems using internet of things ba...
Smart monitoring technique for solar cell systems using internet of things ba...
 
An efficient security framework for intrusion detection and prevention in int...
An efficient security framework for intrusion detection and prevention in int...An efficient security framework for intrusion detection and prevention in int...
An efficient security framework for intrusion detection and prevention in int...
 
Developing a smart system for infant incubators using the internet of things ...
Developing a smart system for infant incubators using the internet of things ...Developing a smart system for infant incubators using the internet of things ...
Developing a smart system for infant incubators using the internet of things ...
 
A review on internet of things-based stingless bee's honey production with im...
A review on internet of things-based stingless bee's honey production with im...A review on internet of things-based stingless bee's honey production with im...
A review on internet of things-based stingless bee's honey production with im...
 
A trust based secure access control using authentication mechanism for intero...
A trust based secure access control using authentication mechanism for intero...A trust based secure access control using authentication mechanism for intero...
A trust based secure access control using authentication mechanism for intero...
 
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbers
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbersFuzzy linear programming with the intuitionistic polygonal fuzzy numbers
Fuzzy linear programming with the intuitionistic polygonal fuzzy numbers
 
The performance of artificial intelligence in prostate magnetic resonance im...
The performance of artificial intelligence in prostate  magnetic resonance im...The performance of artificial intelligence in prostate  magnetic resonance im...
The performance of artificial intelligence in prostate magnetic resonance im...
 
Seizure stage detection of epileptic seizure using convolutional neural networks
Seizure stage detection of epileptic seizure using convolutional neural networksSeizure stage detection of epileptic seizure using convolutional neural networks
Seizure stage detection of epileptic seizure using convolutional neural networks
 
Analysis of driving style using self-organizing maps to analyze driver behavior
Analysis of driving style using self-organizing maps to analyze driver behaviorAnalysis of driving style using self-organizing maps to analyze driver behavior
Analysis of driving style using self-organizing maps to analyze driver behavior
 
Hyperspectral object classification using hybrid spectral-spatial fusion and ...
Hyperspectral object classification using hybrid spectral-spatial fusion and ...Hyperspectral object classification using hybrid spectral-spatial fusion and ...
Hyperspectral object classification using hybrid spectral-spatial fusion and ...
 

Recently uploaded

RS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
RS Khurmi Machine Design Clutch and Brake Exercise Numerical SolutionsRS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
RS Khurmi Machine Design Clutch and Brake Exercise Numerical SolutionsAtif Razi
 
Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.PrashantGoswami42
 
The Ultimate Guide to External Floating Roofs for Oil Storage Tanks.docx
The Ultimate Guide to External Floating Roofs for Oil Storage Tanks.docxThe Ultimate Guide to External Floating Roofs for Oil Storage Tanks.docx
The Ultimate Guide to External Floating Roofs for Oil Storage Tanks.docxCenterEnamel
 
ASME IX(9) 2007 Full Version .pdf
ASME IX(9)  2007 Full Version       .pdfASME IX(9)  2007 Full Version       .pdf
ASME IX(9) 2007 Full Version .pdfAhmedHussein950959
 
Introduction to Machine Learning Unit-4 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-4 Notes for II-II Mechanical EngineeringIntroduction to Machine Learning Unit-4 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-4 Notes for II-II Mechanical EngineeringC Sai Kiran
 
power quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptxpower quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptxViniHema
 
Automobile Management System Project Report.pdf
Automobile Management System Project Report.pdfAutomobile Management System Project Report.pdf
Automobile Management System Project Report.pdfKamal Acharya
 
NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...
NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...
NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...Amil baba
 
Event Management System Vb Net Project Report.pdf
Event Management System Vb Net  Project Report.pdfEvent Management System Vb Net  Project Report.pdf
Event Management System Vb Net Project Report.pdfKamal Acharya
 
ENERGY STORAGE DEVICES INTRODUCTION UNIT-I
ENERGY STORAGE DEVICES  INTRODUCTION UNIT-IENERGY STORAGE DEVICES  INTRODUCTION UNIT-I
ENERGY STORAGE DEVICES INTRODUCTION UNIT-IVigneshvaranMech
 
shape functions of 1D and 2 D rectangular elements.pptx
shape functions of 1D and 2 D rectangular elements.pptxshape functions of 1D and 2 D rectangular elements.pptx
shape functions of 1D and 2 D rectangular elements.pptxVishalDeshpande27
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdfKamal Acharya
 
fluid mechanics gate notes . gate all pyqs answer
fluid mechanics gate notes . gate all pyqs answerfluid mechanics gate notes . gate all pyqs answer
fluid mechanics gate notes . gate all pyqs answerapareshmondalnita
 
Fruit shop management system project report.pdf
Fruit shop management system project report.pdfFruit shop management system project report.pdf
Fruit shop management system project report.pdfKamal Acharya
 
Top 13 Famous Civil Engineering Scientist
Top 13 Famous Civil Engineering ScientistTop 13 Famous Civil Engineering Scientist
Top 13 Famous Civil Engineering Scientistgettygaming1
 
weather web application report.pdf
weather web application report.pdfweather web application report.pdf
weather web application report.pdfPratik Pawar
 
CME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional ElectiveCME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional Electivekarthi keyan
 
Democratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek AryaDemocratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek Aryaabh.arya
 
Natalia Rutkowska - BIM School Course in Kraków
Natalia Rutkowska - BIM School Course in KrakówNatalia Rutkowska - BIM School Course in Kraków
Natalia Rutkowska - BIM School Course in Krakówbim.edu.pl
 
Laundry management system project report.pdf
Laundry management system project report.pdfLaundry management system project report.pdf
Laundry management system project report.pdfKamal Acharya
 

Recently uploaded (20)

RS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
RS Khurmi Machine Design Clutch and Brake Exercise Numerical SolutionsRS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
RS Khurmi Machine Design Clutch and Brake Exercise Numerical Solutions
 
Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.Quality defects in TMT Bars, Possible causes and Potential Solutions.
Quality defects in TMT Bars, Possible causes and Potential Solutions.
 
The Ultimate Guide to External Floating Roofs for Oil Storage Tanks.docx
The Ultimate Guide to External Floating Roofs for Oil Storage Tanks.docxThe Ultimate Guide to External Floating Roofs for Oil Storage Tanks.docx
The Ultimate Guide to External Floating Roofs for Oil Storage Tanks.docx
 
ASME IX(9) 2007 Full Version .pdf
ASME IX(9)  2007 Full Version       .pdfASME IX(9)  2007 Full Version       .pdf
ASME IX(9) 2007 Full Version .pdf
 
Introduction to Machine Learning Unit-4 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-4 Notes for II-II Mechanical EngineeringIntroduction to Machine Learning Unit-4 Notes for II-II Mechanical Engineering
Introduction to Machine Learning Unit-4 Notes for II-II Mechanical Engineering
 
power quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptxpower quality voltage fluctuation UNIT - I.pptx
power quality voltage fluctuation UNIT - I.pptx
 
Automobile Management System Project Report.pdf
Automobile Management System Project Report.pdfAutomobile Management System Project Report.pdf
Automobile Management System Project Report.pdf
 
NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...
NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...
NO1 Pandit Amil Baba In Bahawalpur, Sargodha, Sialkot, Sheikhupura, Rahim Yar...
 
Event Management System Vb Net Project Report.pdf
Event Management System Vb Net  Project Report.pdfEvent Management System Vb Net  Project Report.pdf
Event Management System Vb Net Project Report.pdf
 
ENERGY STORAGE DEVICES INTRODUCTION UNIT-I
ENERGY STORAGE DEVICES  INTRODUCTION UNIT-IENERGY STORAGE DEVICES  INTRODUCTION UNIT-I
ENERGY STORAGE DEVICES INTRODUCTION UNIT-I
 
shape functions of 1D and 2 D rectangular elements.pptx
shape functions of 1D and 2 D rectangular elements.pptxshape functions of 1D and 2 D rectangular elements.pptx
shape functions of 1D and 2 D rectangular elements.pptx
 
Final project report on grocery store management system..pdf
Final project report on grocery store management system..pdfFinal project report on grocery store management system..pdf
Final project report on grocery store management system..pdf
 
fluid mechanics gate notes . gate all pyqs answer
fluid mechanics gate notes . gate all pyqs answerfluid mechanics gate notes . gate all pyqs answer
fluid mechanics gate notes . gate all pyqs answer
 
Fruit shop management system project report.pdf
Fruit shop management system project report.pdfFruit shop management system project report.pdf
Fruit shop management system project report.pdf
 
Top 13 Famous Civil Engineering Scientist
Top 13 Famous Civil Engineering ScientistTop 13 Famous Civil Engineering Scientist
Top 13 Famous Civil Engineering Scientist
 
weather web application report.pdf
weather web application report.pdfweather web application report.pdf
weather web application report.pdf
 
CME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional ElectiveCME397 Surface Engineering- Professional Elective
CME397 Surface Engineering- Professional Elective
 
Democratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek AryaDemocratizing Fuzzing at Scale by Abhishek Arya
Democratizing Fuzzing at Scale by Abhishek Arya
 
Natalia Rutkowska - BIM School Course in Kraków
Natalia Rutkowska - BIM School Course in KrakówNatalia Rutkowska - BIM School Course in Kraków
Natalia Rutkowska - BIM School Course in Kraków
 
Laundry management system project report.pdf
Laundry management system project report.pdfLaundry management system project report.pdf
Laundry management system project report.pdf
 

Microcontroller-based Vertical Farming Automation System

  • 1. International Journal of Electrical and Computer Engineering (IJECE) Vol. 8, No. 4, August 2018, pp. 2046~2053 ISSN: 2088-8708, DOI: 10.11591/ijece.v8i4.pp2046-2053  2046 Journal homepage: http://iaescore.com/journals/index.php/IJECE Microcontroller-based Vertical Farming Automation System Shomefun T. E., Awosope C. O. A., Ebenezer O. D. Department of Electrical and Information Engineering, Covenant University, Canaan land, Nigeria Article Info ABSTRACT Article history: Received Jul 24, 2017 Revised Jan 24, 2018 Accepted Mar 7, 2018 Food is a basic necessity of life. It is the means by which man is nourished and strengthened to carry out his daily activities. The need for food for the upkeep of man has placed agriculture at the helm of man’s affairs on earth. With a rapidly increasing population on earth, man has invented newer and innovative ways to cultivate crops. This cultivation is mainly concentrated in rural areas of countries around the world; but with the massive urbanization happening in the world today; it is becoming increasingly difficult to have enough agricultural produce that will cater for the massive population. Taking Nigeria as a case study, the increased urbanization has placed a massive demand on land, energy and water resources within urban areas of the country. Majority of the food consumed in the urban areas is cultivated in the rural areas. This system however requires longer transportation times from rural areas to urban areas which lead to contamination and spoilage in many instances. This research paper provides a solution in which food crops can be cultivated easily in urban areas by planting in vertically stacked layers in order to save space and use minimal energy and water for irrigation. Keyword: Automation Microcontroller Vertical farming Copyright © 2018 Institute of Advanced Engineering and Science. All rights reserved. Corresponding Author: Shomefun T. E., Department of Electrical and Information Engineering, Covenant University, Canaan land, KM 10, Idiroko Rood, P. M. B. 1023, Ota, Ogun State, Nigeria. Email: tobi.shomefun@covenantuniversity.edu.ng 1. INTRODUCTION Farming refers to growing of crops or keeping animals by people for food and raw materials. Farming is a part of agriculture. In relation to crop farming and livestock farming, the term “agriculture” may be defined as the art and science of growing plants and other crops and the raising of animals for food, other human needs, or economic gain. The farming industry is a very important sector in the economies of the world; it is an indispensable sector, because farming is the sole source of food which remains our only source of energy and vitality as humans. It is estimated that by the year 2050, close to 80% of the world’s population will live in urban areas which is highly significant, and the total population of the world will increase by 3 billion people [1], [2]. And that 70% increase in agricultural productivity will be required. As a result, a very large amount of land may be required depending on the change in yield per hectare. Scientists are concerned that this large amount of required farmland to mitigate this increase will not be available and that severe damage to the earth will be caused by the added farmland due to land degradation and loss of soil fertility [3]-[5]. With respect to the above, increment in crop production with modern day technology (such as automation) to maximise the use of available land is therefore of necessity [1], [6]. Engineers have advised that Vertical farming is the solution to increase productivity per area by extending plant cultivation into the vertical dimension, thus enhancing land use efficiency for crop production [7]. Construction of vertical farm in different layers and compartment is possible for large-scale production like the one of glasshouse and controlled environment agriculture [8].
  • 2. Int J Elec & Comp Eng ISSN: 2088-8708  Microcontroller-based Vertical Farming Automation System (Shomefun T. E.) 2047 Nomenclatures Abbreviations AC : Alternating Current CEA : Controlled-Environment Agriculture DC : Direct Current HHS : Horizontal Hydroponic System IDE : Integrated Development Environment SWT : Soil Water Tension VFAS : Vertical Farming Automation System VFS : Vertical Farming System Vertical farming is the practice of producing food in vertically stacked layers. It offers many advantages over conventional horizontal-based farming in terms of increased crop production, conservation of resources, impact on human health, urban growth, energy sustainability, etc. If designed properly, Vertical farming may eliminate the need to create additional farmland, help create a cleaner environment, and solve the food crisis in growing cities and suburbs. The modern idea of vertical farming uses controlled-environment agriculture (CEA) technology [8], where all environmental factors can be controlled. These facilities utilize artificial control of light, environmental control (humidity, temperature, gases) and fertigation, but crops are only grown in an aqueous solution which nullifies its comparison with conventional horizontal soil planting system. However, a research on vertical soil planting was implemented in [1], where plants were grown in upright cylindrical columns and compared against a conventional horizontal hydroponic system (HHS). The vertical farming system (VFS) produced more crops per unit of growing floor area when compared with the HHS, but light distribution and shoot fresh weight decreased significantly in the VFS from top to base. Recently, automation is considered to be an essential technology that is used in many fields and projects for control and monitoring of various phenomena such as the water supply, room temperature, voltage fluctuation, etc. [9]. Hence, this work aims to design a low-cost vertical farming automation system (VFAS) that allows for more efficient production of food by implementing low voltage sensor technology so as to minimize wastage of resources and maximize returns. By employing humidity sensors, light sensors, and temperature sensors, real time performance of the plant can be recorded thereby determining appropriate time to provide water and light to the plants. According to [10], disease infection can be found crops which in turn disrupts their production in terms of quantity and quality. Hence, this work finds significance in the fact that it improves the quantity and quality of crops grown on a small area of land while minimizing resources used, as opposed to the traditional method of farming. This work is embarked upon because it is a direct means of impacting food production and consumption for those alive, at the same time, produce a viable product for the marketplace which would be made affordable to individuals. The scope of this work will cover the design and building of the vertical farm, programming micro controller for its automation, actual testing with live plants, and implementation of the completed work. 2. RESEARCH MATERIALS AND METHODS Explaining research chronological, including research design, research procedure (in the form of algorithms, Pseudocode or other), how to test and data acquisition [1]-[3]. The description of the course of research should be supported references, so the explanation can be accepted scientifically [2], [4]. In this work, the vertical farm designed, comprises two distinct soil layers with individual lighting, water supply unit, moisture sensor and temperature sensor. The front end of the design features solenoid valves which would feed water through a low voltage water pump from an over-head water tank. The lighting fixtures for the farm would automatically brighten up or dim in intensity based on the level of lighting in its environs. At the back end, the farmer has the ability to view live data of the plant’s performance. The farmer can switch between automatic and manual modes which would allow him to perform routine maintenance on the farm during which he can manually control the irrigation. The materials used to realise this design include: a. Sensors Soil moisture sensor with analogue and digital outputs is to be placed in the soil, and calibrated to take readings. The output from these sensors is used to determine the switching on and off of the solenoid valves. The light sensor placed on the vertical farm structure monitors the light intensity of the environment, and adjusts the internal lighting to suit the plant needs. Atmospheric temperature sensor gives output data which is used to control the switching ON and OFF of the fans to control the temperature of the farm.
  • 3.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 8, No. 4, August 2018 : 2046 – 2053 2048 b. Water pump 12-volt water pump is controlled by the micro-controller, based on analogue readings from the soil moisture sensor, and it is used to feed the solenoid valves which in turn activate water sprinklers. c. Power supply The phase voltage of the AC mains to the VAFS is stepped down from 239.6V to 15V and rectified to 12V DC (to power solenoid valves, water pump and fans) and 5V DC (to power micro-controller and liquid crystal display). 2.1. Systems design This design requires that the automatic irrigation system is able to continuously sense the moisture level of the soil. The system will be able to respond appropriately by watering the soil and then shut down the water supply when the required level of moisture is achieved. The system design of this project has different sub-systems integrated together. There are three sub-systems. These are power supply sub-system, sensing sub-system, and control sub-system. Figure 1 show the schematic diagram of the project and Figure 2 System’s block diagram. Figure 1. Schematic diagram of the project Figure 2. System’s block diagram 2.1.1. Power supply sub-system The lighting system (fluorescent lamp) is powered from AC mains. The microcontroller, i.e. the Arduino Uno is powered from a 12 V DC adapter, and the solenoid valves were powered from a 5V DC adapter. 2.1.2. Sensing sub-system The concept of automation, as complex as it may seem, is simply a normal electronic system which integrates a feedback mechanism referred to as a sensor. The sensor acts as an indicator to the enactment of a desired result; with sensors, control of any system is realizable. Generally, two types of sensors may be used for measurements of soil water status; those that measure soil water potential (also called tension or suction) and those that measure volumetric water content directly. Soil water tension (SWT) represents the magnitude of the suction (negative pressure) which the plant roots have to create to free soil water from the attraction of the soil, and move it into the root cells. The dryer the soil, the higher the suction needed, hence the higher the SWT. SWT is commonly expressed in centibars or kilopascals. 2.1.3. Soil moisture sensor Soil moisture sensors measure the volumetric water content in soil. Since the direct gravimetric measurement of free soil moisture requires removing, drying, and weighting of a sample, soil moisture
  • 4. Int J Elec & Comp Eng ISSN: 2088-8708  Microcontroller-based Vertical Farming Automation System (Shomefun T. E.) 2049 sensors measure the volumetric water content indirectly by using some other property of the soil, such as electrical resistance, dielectric constant, or interaction with neutrons, as a proxy for the moisture content. The relation between the measured property and soil moisture must be calibrated and may vary depending on environmental factors such as soil type, temperature, or electric conductivity. Reflected microwave radiation is affected by the soil moisture and is used for remote sensing in hydrology and agriculture. Portable probe instruments can therefore be used by farmers or gardeners. Figure 3 show the spark fun soil moisture sensor. Figure 3. Spark fun soil moisture sensor 2.2. Sensing system flow-chart The following flow chart shown in Figure 4 describes the basic operation of the moisture sensing system used in this work. First, the soil moisture sensor measures the soil resistance at intervals, sends the information as a digital signal to the sensor; the microcontroller then decides whether or not the soil resistance is high or not (depending on the pre-set thresholds and soil type). If the soil moisture level is lower than the pre-set threshold, the microcontroller actuates the submersible water pump and solenoid valves which provide water to the soil via drip irrigation method. Figure 4. Flowchart describing the sensing system 3. SYSTEM IMPLEMENTATION The whole automated vertical farming irrigation system has both mechanical and electrical components. The implementation of the system design was done using readily and locally available materials. This required that some mechanical constructions must be carried out in addition to the development of the electronic circuitry. Figure 5 show the 2D Render of vertical farm structure.
  • 5.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 8, No. 4, August 2018 : 2046 – 2053 2050 Figure 5. 2D Render of vertical farm structure 3.1. Mechanical construction The mechanical constructions carried out in this design were those of aluminium works and piping as shown in Figure 6. Figure 6. The constructed aluminium framework with piping 3.2. Electrical circuitry Implementation of the electronic circuitry involved physical simulation of the circuit using a breadboard to ensure proper operation and the final implementation of the circuit on a vero board. Figure 7 show the sensing and control circuit.
  • 6. Int J Elec & Comp Eng ISSN: 2088-8708  Microcontroller-based Vertical Farming Automation System (Shomefun T. E.) 2051 Figure 7. Sensing and control circuit 3.3. Microcontroller programming The microcontroller used in this project is the Arduino Uno, which has an Arduino integrated development environment (IDE), and it is programmed using C programming language. The basic functions of the code are outlined below: a. Receive data from the analog sensors. b. Convert the analog signals to digital information using a digital/analog (D/A) converter. c. Interpret the digital information. d. Send control signals based on the received digital information. 4. RESULTS AND ANALYSIS The complete system was tested for correct operation by applying the system to irrigate different soil samples. Below is the table of results. Table 1 shows the amount of time which the system took to irrigate different soil samples in different initial states. The data is represented in the following table: Table 1. Results from Tests Carried out on Various Soil Samples and Soil Types SOIL SAMPLE SOIL TYPE INITIAL SOIL STATE (% DRYNESS) IRRIGATION TIME (SECONDS) A SANDY 100 6 B SANDY 70 4 C SANDY 50 2 D LOAMY 100 12 E LOAMY 70 7 F LOAMY 50 3 G CLAYEY 100 16 H CLAYEY 70 9 I CLAYEY 50 4 It can be seen from the results obtained in Table 1 that the system responded linearly with respect to the degree of wetness for the three soil types. Figure 8 shows this linearity in a clear form. There is a linear relationship between the degree of soil dryness and the time taken to irrigate the soil. At 50% dryness, irrigation duration was 2.0, 3.0, and 4.0 seconds for sandy, loamy and clayey soil respectively, while at 70%
  • 7.  ISSN: 2088-8708 Int J Elec & Comp Eng, Vol. 8, No. 4, August 2018 : 2046 – 2053 2052 dryness, irrigation duration increased to 4.0, 7.0, and 9.0 seconds for sandy, loamy, and clayey soil respectively. It is seen that irrigation generally took longer in loamy soil than in sandy soil, and irrigation took the longest in clayey soil. Figure 8 show the scatter diagram of the variation of irrigation time with soil type. Figure 8. The scatter diagram of the variation of irrigation time with soil type 5. CONCLUSION This work is the design and implementation of a microcontroller-based vertical farming automation system. The main aim of the work is to minimize the power consumption and water consumption involved in the cultivation of plants. This is a major contribution when we consider the scarce availability of power and water in the area investigated. To achieve this, a DC water pump and solenoid valves were deployed. These were controlled using the Arduino Uno microcontroller. The microcontroller was programmed to activate the solenoid valves to water the plants when the moisture content of the soil drops below a certain threshold. The soil is irrigated until the soil moisture rises above a pre-set threshold, at which the solenoid valves are deactivated. By automating the drip irrigation process, water conservation is demonstrated because the soil is watered only when it needs to be. Power is conserved in two ways: a. The sensing and control circuits are direct current (DC)-controlled, and the control system is activated only when data is received from the microcontroller. b. Energy saving fluorescents are used rather than incandescent lamps in order to reduce the amount of heat generated by the lighting system. The act of planting in vertically stacked layers also ensures that land space is conserved. Apart from the fact that this work conserve energy, water and land space usage, it brings about farming under control and monitor situations. Control over variety of pests and intruders of any kind. From the amount of literature reviewed, the present work is the first to delve into this power and water conservation idea in the vertical farming automation system in Nigeria. ACKNOWLEDGEMENTS The authors would like to express special thanks and gratitude to Covenant Universiti for their support. REFERENCES [1] Corvalan, C., S. Hales, and A. J. McMichael, “Ecosystems and human well-being: health synthesis,” World Health Organization, 2005. [2] Tilman, D., C. Balzer, J. Hill, and B. L. Befort “Global food demand and the sustainable intensification of agriculture,” Proc. Natl Acad. Sci. 2011, USA 108, pp. 20260-20264. [3] Bonan, G. “Forests and climate change: forcing, feedbacks, and the climate benefits of forests,” Science, vol. 320, 2008, pp. 1444-1449 [4] Foley, J. A., N. Ramankutty, K. A. Brauman, E. S. Cassidy, J. S. Gerber, M. Johnston, et al. “Solutions for a cultivated planet,” 2011, Nature, vol. 478, pp. 337-342. 0 5 10 15 20 0 20 40 60 80 100 120 SANDY LOAMY CLAYEY
  • 8. Int J Elec & Comp Eng ISSN: 2088-8708  Microcontroller-based Vertical Farming Automation System (Shomefun T. E.) 2053 [5] Lambin, E. F., H. K. Gibbs, L. Ferreira, R. Grau, P. Mayaux, P. Meyfroidt, et al., “Estimating the world’s potentially available cropland using a bottom-up approach”, Glob. Environ. Change, 2013, vol. 23, pp. 892-901. [6] Lambin, E. F., and P. Meyfroidt, “Global land use change, economic globalization, and the looming land scarcity,” Proc. Natl Acad. Sci., 2011, USA 108, pp. 3465-3472. [7] Eigenbrod, C., and N. Gruda, “Urban vegetable for food security in cities. A review,” Agron Sustain., 2014 Dev., 35, pp. 483-498. [8] Despommier, D., “The vertical farm: controlled environment agriculture carried out in tall buildings would create greater food safety and security for large urban populations,” J. Für Verbraucherschutz Leb., 2011, vol. 6, pp. 233-236. [9] A. A. Alkandari and S. Moein, "Implementation of Monitoring System for Air Quality using Raspberry Pi: Experimental Study," Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), vol. 10, 2018. [10] M. M. Kamal, A. N. I. Masazhar, and F. A. Rahman, "Classification of Leaf Disease from Image Processing Technique," Indonesian Journal of Electrical Engineering and Computer Science (IJEECS), vol. 10, 2018.