Designing an IoT Framework for High Valued Crops Farming
Domingo Junior P. Ngipol
1
, Thelma D. Palaoag
2
1
Ifugao State University-Aguinaldo Campus, Aguinaldo, Ifugao, Philippines
2
University of the Cordilleras, Baguio City, Philippines
Keywords:
Internet of Things, Sustainable Agriculture, IoT Framework, High Valued Crops.
Abstract:
Agriculture plays a vital role in providing employment, revenue and domestic product of farmers. In the
Philippines, agriculture has a large share of employment and likewise with the population who depends on
it. The increase of agricultural product and income is necessary for the growth of the country’s economic
condition. Unfortunately, the insufficiency of technology and the use of traditional methods of farming along
with the issues and challenges associated to crops farming greatly affects farmers which results to low yielding
of crops. The integration of smart agriculture using the Internet of Things (IoT) is an absolute solution in
modernizing the traditional methods of agriculture. This simplifies farming techniques and improves time
efficiency, water and fertilizer management, crop monitoring, soil and security management. This paper
proposes an IoT framework that address the current issues and challenges associated to high valued crops
farming in Alfonso Lista, Ifugao. It integrates two main functions including environment data sensing by
a wide variety of sensors and environment factors control with some mechanics driven by smart actuators.
This sensors and actuators are used for real-time monitoring, analysis and collection of information about the
farm conditions like weather, moisture, temperature, humidity, fertility of soil and level of water. Essential
data were gather by means of observation and in-depth interview with Ifugao farmers and employees of Yao
Jia Xi Corporation Alfonso Lista, Ifugao. The developed framework provides holistic foundation in the
development of IoT-driven system for high valued crops farming with low cost and easy implementation.
1 INTRODUCTION
The economic development of a country mostly
depend on agricultural products as it is the main
source of food and other raw materials. It provides
employment opportunities, income and domestic
product to the people. Of the 42.78 million persons
in the Philippine labor force in 2017, the agriculture
sector absorbed 10.26 million persons, representing
25.44 percent of the national employment (PSA,
2018). However, the use of traditional methods of
farming greatly affects farmers which results in low
yielding of crops. It is evident that the automation
of manual processes of farming and the use of
automatic machineries improved the yielding of
crops (Gondchawar and Kawitkar, 2016). Improving
farm productivity is essential in order to increase
farm profitability and to provide the rapidly growing
demand of food caused by rapid population growth
all over the world. According to the United Nations’
Food and Agriculture Organization, food production
must increase by 50% to be able to feed the rapidly
growing population that is expected to reach 10
billion by 2050. The urgent need in increasing the
crop productivity is vital as it is the foundation of
any solution for food shortage and farm profitability
problems (FAO., 2019). The sustainability in
agriculture plays an important role in addressing this
challenges since it offers technological advancement
that increase productivity and profitability while
conserving resources, minimizing waste and
enviromental impact, and promoting agroecosystem
resilience (Velten et al., 2015). Hence there is a need
to integrate smart farming and precision agriculture
using Internet of Things (IoT) technology in order
to achieve sustainable agriculture with increase
production efficiency, profitability and the quality of
agricultural products (Malavade and Akulwar, ).
High value crops refer to new and expensive food
crops such as vegetables, fruits, flowers, houseplants
and foliage, condiments and spices. Most high value
crops have higher production efficiency and income
compared to usual cereal grains and export food
crops. It is not usually a common food for local
304
Ngipol, D. and Palaoag, T.
Designing an IoT Framework for High Valued Crops Farming.
DOI: 10.5220/0009364503040310
In Proceedings of the Second International Conference on Science, Engineering and Technology (ICoSET 2019), pages 304-310
ISBN: 978-989-758-463-3
Copyright
c
2020 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
people and are mainly grown for higher income in
domestic and even abroad.
Over the past few years, IoT technology have
been introduced in almost every area of the modern
society. Among this areas are Smart Cities, Smart
Health Care, Smart Industry, Autonomous Vehicle,
Smart Agriculture, Precision Agriculture and others
(Shang et al., 2015). IoT is significantly considered in
the area of technology which gains appreciation and
attention from known and reputable industries like
Google, Apple, Samsung and Cisco (Vermesan and
Friess, 2014). The IoT is referred to as the Internet
of Objects that integrates several technologies such
as computers, smart phones, internet, sensors,
wireless communication technology and embedded
systems to complete a system that is capable
of data transmission without human intervention
(Mohammed and Ahmed, 2017).
As an emerging paradigm, the IoT has great
potential that can have a significant influence on
the future of the world (Stoces et al., 2016).
The application of the latest IoT technologies
in agriculture practice allows traditional ways of
farming to be changed fundamentally on every
aspect, paving way to a new agriculture pattern of
precision agriculture (Zhang et al., ). Iot devices
such as wireless sensor, connected weather stations,
cameras, and smart phones are capable of gathering
huge amount of environmental and crop performance
data which ranges from time series data from
sensors, to four-dimensional data from cameras and
to human interventions and observations. This data
are analyzed to filter out invalid data and compute
personalized crop recommendations for any specific
farm (Veena et al., 2018).
IoT technologies such as IoT devices provides
a better way of collecting, gathering, exchanging,
and transmitting data which absolutely delivers an
innovative way in data processing and intelligent
decision-making (Sreekantha and Kavya, 2017). The
Internet of Things provides the fundamental network
infrastructure to the physical and the digital worlds
through which smart objects, ranging from micro
sensors to heavy agricultural vehicles communicate
to each other (Bhuvaneswari and Porkodi, 2014). It is
capable of transforming the agricultural domain into
more efficient and productive farming and improves
the quality of life of farm workers by reducing
heavy labor and tedious tasks (Elkhodr et al., 2016).
At present, the internet protocol is mainly used in
communicating and interconnecting numerous smart
objects and various kinds of embedded devices and
technologies. The increase in the application and
distribution of smart objects and internet of things
significantly impact the human life in the future
generations (Rghioui, 2017).
Smart farming involves the use of the Internet of
Things (IoT) to provide solutions via the electronic
monitoring of crops, as well as related farm
conditions (Mohanraj et al., 2016). Understanding
and forecasting crop condition and performance
under extensive diversity of environmental, irrigation,
soil and fertilization is important to improve farm
production efficiency (Jayaraman et al., 2016).
Moreover, Iot-based smart farming allows farmers to
have better control over the process of growing crops
and making it more predictable and easy to manage
(Prathibha et al., 2017).
Consequently, the absolute integration of IoT
technologies into smart farming advanced the
agriculture to a new level by which the whole
agriculture industry is modernized with increased
productivity and profit. In a broader perspective, the
scope of smart agriculture which covers IoT improves
or solves critical issues such as drought response, crop
yield optimization, land and water management, and
pest control (Rajakumar et al., 2018). In connection
to this, the study aims to discuss the current issues and
challenges associated to high valued crops farming in
Alfonso Lista, Ifugao. It also covers the framework
that shall be design to address the current issues and
challenges associated to high valued crops farming in
Alfonso Lista, Ifugao.
2 METHODOLOGY
This study was qualitative in nature which aimed to
explore the current issues and challenges associated
to high valued crops farming in Alfonso Lista,
Ifugao and develop a framework that address each
of the issues and challenges. The primary method
of data collection was possibly made through
in-depth interviews with the Ifugao farmers, the
farm manager and farm workers of the Yao Jia
Xi Corporation Alfonso Lista with their various
relevant functions which covers the scope of the
study. The researcher used unstructured and informal
interviews which positively allows a more flexible
and responsive discussion for both the researcher
and the respondents. Moreover, related articles were
also reviewed to allow a wide-ranging knowledge
on internet of things practices and applications.
A framework development process was used as a
guide during the development of the framework
which involves the four main phases: design
phase, implementation phase, instantiation phase and
maintenance phase.
Designing an IoT Framework for High Valued Crops Farming
305
Figure 1: Framework Development Process.
Design phase: The framework structure in this
phase is defined by the framework designer, which
utilizes the information generated in the domain
knowledge analysis and requirements phase. This
requires an imaginative task and organized method to
create the framework design from requirements level.
Implementation phase: In this phase, the
framework builder generates the actual framework
along with the framework documentation.
Instantiation phase: During this phase,
applications are being generated by the application
developer basing from the framework which utilizes
the artifacts created in the implementation phase.
Maintenance phase: Lastly, the maintenance
phase allows a harmonious communication between
the framework design and especially to the whole
framework which also supports the transformation of
the design and implementation level.
3 FINDINGS
Alfonso Lista is a third class municipality of Ifugao
with a vast land for agriculture. It has a progressing
topography with an agricultural land area of 15,546
hectares, a pastureland of 17,808 hectares, a forest
area of 7,305 hectares and a residential area of 394
hectares with a total land area of 41,051 hectares.
It is politically subdivided into 20 barangays with
a total of population of 32, 119 according to the
2015 census. A large percentage of its population
depends on farming with corn, banana, cassava,
legumes, tobacco, peanuts, gabi, and other high value
vegetables as their main produce. Marketing of
agricultural products in Alfonso Lista, Ifugao is quite
easy because of the presence of traders within the
municipality and even from neighboring provinces
and cities. Figure 2 shows the satellite view of
Alfonso Lista, Ifugao which obviously shows a large
portion for agriculture.
Figure 2: Satellite View of the Municipality of Alfonso
Lista.
However, the insufficiency of technology and
the use of traditional methods of farming along
with the issues and challenges associated to crops
farming greatly affects the productivity of the Ifugao
farmers. Below are the current issues and challenges
associated to high valued crops farming that were
identified during the actual visit in the farm and were
strongly signified by the majority of the respondent
during the in-depth interview.
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3.1 Current Issues and Challenges
Associated to High Valued Crops
Farming in Alfonso Lista Ifugao
Water demand and shortages: The Philippine Food
and agriculture are the largest consumers of water
which requires more than the use for personal needs.
Figure 3 shows the total water withdrawal in 2009 that
reached up 81, 555 million cubic meter, of which 82
percent was for irrigation and livestock that includes
754 million cubic meter for aquaculture, 10 percent
for industry purposes and 8 percent for municipalities
(FAO., 2019).
Figure 3: Philippines Water Withdrawal by Sector
On the other hand, agriculture production in the
province of Ifugao especially in the municipality
of Alfonso Lista is highly dependent on water and
increasingly subject to water risks due to rapid
population growth, changing climate, increasing
demand for food and other individual needs. As
a result, water scarcity is being encountered which
adversely affect the yield of farmers since rainwater
is not enough as the source for irrigation of their
agricultural crops.
Fertilizer mismanagement: Fertilizer is one of
the fundamental substance containing the chemical
elements to improve growth and productiveness of
agricultural crops. Therefore it is important to select
the right source, the right place, the right timing,
and the right rate of application for the greatest
fertilizer nutrient use efficiency. Figure 4 shows the
4R principles of Nutrient Stewardship (Johnston and
Bruulsema, 2014).
However, all farmers in the province of Ifugao are
still using the traditional method of applying fertilizer
which is subjected to fertilizer misuse. Ifugao farmers
common assumption regarding fertilizer application
is “the more, the merrier” which adversely affects
the agricultural crop, soil and the environment due
to salinity build up or to the toxicity of the chemical
Figure 4: 4R principles of Nutrient Stewardship
elements. Moreover, application of fertilizer with the
correct rates is not a guarantee of a bountiful harvest
but it’s the application at the right rates at the right
time since the nutrients uptake of crops is at different
rates and ratios at the different phonological growth
stages.
Unawareness on soil testing: Agricultural
productivity mainly depend on soil which serves as
a medium for plant growth and a sink for heat, water
and chemicals. To achieve the soil full potential, soil
testing must be done to determine the plant nutrient
needs and for environmental assessments. However,
almost all farmers in Ifugao are not aware on soil
testing which results to misuse of fertilizers and other
chemical elements which in turn causes soil quality
degradation.
Lack of farm security: Safeguarding farm assets
from burglars and destructive animals is very
important to avoid unexpected loses. However,
farmers usually overlooked which allows burglars and
destructive animals robbed and destroy any valuable
and available resources in the farm.
3.2 The Proposed IoT Framework for
High Valued Crops Farming
Figure 5 shows the IoT framework for high valued
crops farming which aims to address the identified
issues and challenges associated to crop farming in
Alfonso Lista, Ifugao. The IoT framework is a control
model for irrigation, application and distribution of
fertilizer. It is also a control model for farm security,
real-time monitoring and collection of information
about the farm conditions like weather, moisture,
temperature, fertility of soil and level of water.
The framework is composed of the Embedded IoT
Platform and the three layers: the application layer,
network layer and the perception layer.
Perception Layer: This layer composes the
Designing an IoT Framework for High Valued Crops Farming
307
Table 1: Hardware requirements part 1
Category Item Name Spesification Function
Power Source
Solar Panel
The solar panel minimum
dimension is 38 x 22
centimeter with 12 volts
working power.
Its main purpose is to recharge
the battery for continuous operation.
Rechargeable
Battery
The most recommended battery is
a sealed lead acid battery with 12
volts power and 5 amp hour.
The battery serves as the main
source of power.
IoT
Sensing Devices
Soil Sensor
The soil sensor working voltage is
ranging from 3.3 to 5 volts with an
operating temperature of -40
degrees to +60 degrees.
It is mainly used to quantity the water
content, salinity and nutrients of soil in
the farm.
Temperature
Sensor
The temperature sensor measuring
range is from 0 degrees to 50
degrees with a measurement error
of +- 2 degrees. The operating
voltage is from 3.3 to 5 volts.
It is used to collect data about temperature
from the farm.
Water Level
Sensor
The water sensor operating voltage
is ranging from 5 to 24 volts with a
response time of 500 milliseconds
and an operating temperature
ranging from 0 degrees to 105
degrees.
It is used to detect the water level of the
water tank.
Water Flow Rate
Sensor.
The water flow sensor working
voltage is ranging from 5 to 18
volts with a maximum water
pressure of 2 Mega Pascal.
The water flow sensor is used to quantity
the volume of water passing through the
water tank pipe and the amount of
fertilizer for the crop needs.
Real Time Clock
The real time clock operating
voltage is ranging from 2.3 to 5.5
volts with a battery backup.
It is solely built for keeping time that
basically counts hours, minute, seconds,
months days and years. It is used to
identify the schedule on when to apply
fertilizer.
PIR Motion
Sensor
The working voltage of the PIR
motion sensor is ranging from 5 to
20 volts with a delay time of .3
seconds to 18 seconds.
The primary purpose is to sense motion
around the farm.
Microcontroller
ATMega2560
microcontroller
The microcontroller operating
voltage is 5 volts with a
recommended input voltage
ranging from 7 to 12 volts.
It is used to process data and control every
task for the whole system.
sensors and actuators which primarily aims to acquire
and collect data from the physical world which is
processed and serves as a basis for the actuators
to operate. The process of perception is based on
the IoT sensing devices such as the soil moisture
/ salinity sensor, temperature sensor, water level
sensor, water flow sensor and the PIR motion sensor.
Moreover, this layer is responsible in converting
information to digital signals to allow convenient
network transmission.
Network Layer: The network layer serves as
gateway and provides data routing and addressing
paths for network communication. It allows data
transfer in the form of packets through logical
network paths in an ordered format. The network
layer processes the received data from the Perception
Layer and transfer it to the Application Layer
using various network technologies like wireless
networks which includes WiFi, Bluetooth and 3G
network. This layer is basically used as a mode of
communication between the application layer and the
perception layer.
Application Layer: This layer composes the
Mobile Application and the Monitor. It constitute
the front end of the whole IoT framework which
provides personalized based services according to
user relevant needs. It allows the user to receive
text messages or notifications from the system and
provide real time data monitoring through graphical
representations regarding the farm condition which
the user can understand. Real time data from the
monitor serves as a basis for user decision making or
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Table 2: Hardware requirements part 2
Actuators
Liquid Crystal
Display (LCD).
The LCD uses Liquid Crystal
Monitor (LCM) that operates with
5 volts Direct Current with 80mm
x 36mm x 12mm dimension.
The LCD serves as a monitor for all
environment data that is provided by the
IoT sensing devices.
Relay Switch
Module
The relay switch operates with 5
volts with output maximum contact
of AC110V, AC250V 10A and
DC30V 10A.
It is responsible in controlling the
solenoid valve which is switch on or off
whenever the soil moisture reached the
threshold value.
Solenoid Valve
The solenoid valve operating
voltage is 12 volts direct current
with recommended water pressure
of .02 to .08Mpa.
It operates with an electromagnetic
solenoid coil which change the state of the
water valve from closed to open whenever
the relay switch is turned on, or vice-
versa.
Water Pump
The water pump operating voltage
is 12 volts that is powered by 2
pieces of 100 watts solar panel.
It is used to refill the water tank whenever
the water level sensor reached the
threshold value.
GSM Shield
The GSM shield module operating
voltage is ranging from 5 to 26
volts that allows communication
using the GSM cell phone network
which includes SMS, MMS, GPRS
and audio.
The GSM shield module sends text
messages to users whenever the water tank
is running out of water and also whenever
there are intruders or animals around the
farm.
Buzzer
It operates with 5 volts with
controllable sound frequencies and
has 16 ohm resistance.
The buzzer is triggered whenever there are
intruders or animals around the farm.
Communication
Network
3G
It is the third generation of wireless
technology for mobile phones.
It is used as mode of communication
between the system and the users.
Bluetooth
Bluetooth allows to transmit data
wirelessly over a short distance
using short-range wireless
technology devices such as smart
phones and computers.
It is used as mode of communication
between the system and the mobile phone.
WiFi
The minimum WiFi specification
is the 802.11 WLAN which offers
higher speed transmission and
longer transmission range.
It is used to provide wireless high-
speed Internet and network connections.
User Interface
Mobile phone
Smart phone is the most
recommended mobile device for
the application since the system
provides graphical data and text
messages.
The mobile phone allows the users to
receive text messages from the system. It
is also used to monitor the farm condition
and can perform system override.
Display Monitor
The display monitor can be LCD
screen with a minimum size of
98mm x 60mm x 20mm or tablet
that supports wireless
communication such as Bluetooth
and WiFi.
The display monitor allows the user to
view data in visual form.
further actions.
Embedded IoT Platform: The embedded IoT
platform composes the microcontroller and the power
source. Its primary function is to process and interpret
data from all the layers and control every task for the
whole operation of the system. The microcontroller
is powered by rechargeable battery which is being
recharge through solar panel.
3.3 Technology Required
The technology required in this research is listed in
Table 1 and Table 2.
4 CONCLUSIONS
The developed IoT framework for high valued
crops farming in Alfonso Lista, Ifugao is a
Designing an IoT Framework for High Valued Crops Farming
309
Figure 5: IoT Framework for High Valued Crops Farming
holistic solution for the identified current issues
and challenges associated to high valued crops
farming. It is a control model of irrigation,
fertilizer, soil monitoring and security management
which is composed of several sensors to provide
environmental data and microcontroller to manage
operations on how and when the actuators should
perform basing from environment data. The actual
implementation promotes sustainable agriculture and
improves agricultural production with affordable and
easy implementation for small scale farmers.
ACKNOWLEDGMENTS
This study was supported by the Research
Development and Extension Training Service
Unit and funded under the Research Development
and Special Trust Fund of the Ifugao State University.
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