Final Report- Project Grant T-ARGS- PMJ

quantity. Too much water can suffocate the plant roots and too little may not be able to sustain
the plants. Identifying the correct crop water requirement is essential. Field data gathered from
sensors can help to achieve a high level of accuracy in the calculation of water requirement.
Well-planned irrigation is very critical for obtaining optimal crop yields. For proper irrigation
scheduling, sound knowledge of the soil moisture status, crop water requirements, soil density,
pH value of soil is prerequisite to maximize profits and optimize the use of water and energy
(Mary Aleksandrova,2019).
3.0 Methodology
This research study covers three phases:

a. Phase One: Development of Smart Fertigation System
Development of a prototype model is an innovative method in crop fertigation system capable of
controlling the water sprinkling system for automation using IoT technology as shown in Figure
1.0. In this method the pump is activated by using the android system to spray water and
insecticide according to the schedule prescribed. Sensors are used to detect the quantity of water
in the main tank, and detect and control the temperature of the environment in the area of
farming.

Figure 1.0 : Smart Fertigation System

When temperature setting is increases, the sprinkler system is activated and water will be
injected into the whole plant to control the heat of the environment. In this design, the work is
also handled automatically insecticide spraying when required without the use of labor. Three
water tanks will be used for the purpose of sprinkling water to the tree, sprinkling water to
reduce the temperature and insecticide spraying when needed by growing trees. Next to design
the control circuit to control the work process used by electronic devices such as sensors, lights,
fans, temperature, humidity and CCTV.

A sample prototype project using IoT system was developed as a pilot project to test the
effectiveness of the smart fertigation system using IOT technology as shown in Figure 2.0. The
fertigation system has been setup for 300 chili trees in politeknik campus. Water irrigation
system has been build for this project and the control system for this project using android type
communication using mobile phone with internet line. This system was operating with fully
automated like watering, mixing and sowing fertilizer, pesticide control, plant environmental
control, lighting control and monitoring of the fan and the remote location of the plant by using
access control system through the IoT. The system developed in this research allows users to
view, control and monitor the process of operating the system using the mobile phone.

Figure 2.0 ; Design of IOT Control Circuit

b. Phase Two : Development of Solar Power
In phase two the main focus is development of solar package system which will be used to
supply electrical power for agricultural project. Development of a prototype model of electrical
energy includes electricity generation systems using solar panels, inverter (DC to AC), solar
charger, battery, wiring distribution system safety and security systems as shown in Figure 3.0.
Android system will be used to send signals to the system interface to control all electric and
electronic devices using electricity from solar energy.

Figure 3.0 ; Development of Solar Package
c. Phase Three: Interface system for Smart Fertigation With Solar Power
In phase three, prototype model system hardware and combination of electricity package will be
interface to control all the electronic devices which has installed by using mobile apps with
operational coding system for agricultural function. Android system will be used to send signals
to the system interface to control all devices using electricity from solar energy.

Figure 4.0 ; Interfacing Smart Fertigation With Solar Power
4.0 Live Implementation And Real Time Data Analysis And Monitoring
In this section, the overall working of the system is being discussed. The following diagram
shows how the Smart IoT Based Agriculture is using to control and monitor the agricultural
activities.

Figure 5.0 : Smart IoT Based Agriculture Activities

Most commercial agricultural sectors are still using many labor workers to carry out spraying
insecticides and fertilizing job. This project can perform automatically distributes fertilizers and
spraying insecticides through Internet of Things (IoT). Monitoring work progress such as
temperature reading and moisture content using smart phone for control irrigation system is also
the latest technology in this project. The solar power set which we developed in this project is a
new idea where this type agricultural activities also able to conduct in rural area such as no
electricity with free of charge. Hopefully, all this new technology (IoT) will motivate our young
generation to involved in modern agricultural sector wisely which can earn very good income.

Figure 6.0 : Data Monitoring For Temperature and Moisyure Through Smart IoT

5. CONCLUSION
In this Research Paper, a novel smart Fertigation was conducted succesffully with IOT
technology. Activites such as live monitoring of Temperature and Soil Moisture has been
proposed using Arduino. The mobile apps used in this system has high efficiency and accuracy
in fetching the live data of temperature and soil moisture. Furthermore, cloud computing and
solar technology has been utilised in this project wisely. The smart IOT system in this agriculture
activities will assist farmers in increasing the agriculture yield and take efficient care of food
production as the mobile apps will always provide helping hand to farmers for getting accurate
live feed of environmental temperature and soil moisture with more than 98% accurate results.

Future work would be focused more on increasing sensors on this smart fertigation to fetch more
data especially with regard to pest control and by also integrating GPS module in this IoT Stick
to enhance this smart agricultural activities through Fertigation farming using IoT Technology to
full-fledged Agriculture Precision ready product.

References

1. Aung Phyo (2018) Department of Agricultural Economics, Yezin Agricultural
University, Myanmar.

2. Tshering (2018) PelzomYouth Perception of Agriculture and potential for employment in
the context of rural development in Bhutan. Development, Environment and Foresight,
2017, Vol. 3, No. 2, 92 107, ISSN: 2336-6621.

3. Anand Nayyar (2018) Smart Farming: IoT Based Smart Sensors Agriculture Stick for
Live Temprature and Moisture Monitoring using Arduino, Cloud Computing & Solar
Technology.

4. Michael Chui (2018) The Internet of Things: Mapping The Value Beyong The Hype,
McKinsey & Company, McKinsey Global Institute,June 2015.

5. Mary Aleksandrova (2019)IoT in Agriculture: 5 Technology Use Cases for Smart
Farming (and 4 Challenges to Consider): https://easternpeak.com/blog/iot-in-agriculture-
5-technology-use-cases-for-smart-farming-and-4-challenges-to-consider/

Smart IOT Agricultural Kit for Precision Farming

Smart IOT Agricultural Kit for Precision Farming

Murugan Krishnan
Politeknik Mersing
[email protected]

Ruslaimi Abd.Kadir
Politeknik Mersing
[email protected]

Abstract

Technologies and IOT have the potential to transform agriculture in many aspects. The
development of Intelligent Smart Farming ITT based devices is day by day turning the face
of agriculture production by not only enhancing it but also making it cost-effective and
reducing wastage. By using various smart agriculture gadgets, farmers have gained better
control over the process of raising livestock and growing crops, making it more predictable
and efficient. The aim of this paper is to propose a novel smart IOT gadgets which used in
agricultural as weather stations, combining various smart farming sensors, collect various
data from the environment and send it to the cloud in getting live data for efficient
environment monitoring which will enable them to do smart farming and increase their
overall yield and quality of products. The smart IOT agricultural kit being proposed via this
paper is integrated with Arduino Technology, breadboard mixed with various sensors and
live data can be obtained online from web based called Fabric.atilze.com. The product being
tested as a pilot project on Live Agriculture Fields giving high accuracy over 98% in data
feeds and save almost 40% of total fertilizer.

Keywords: precision farming, smart internet of thing (IOT), smart
agriculture kit

1.0 Introduction
Farming is becoming more scientific, with remote sensing, GPS and

data analytics all being added to farming equipment. Thousands of farmers
all over are adopting the new equipment to make their farming more
precise. The development of IOT is increasing day by day. Great potential
also results from a combination of electronic and internet which will
ultimately benefit human life. Although in our country we have not received
such a comprehensive reform, in many developed countries the idea of
smart and new technology has been introduced and practiced. IOT
technology is new and smarter than the existing one. It is also included in
the Fourth Industrial Revolution technology (IR 4.0), which current trend in
automation and data exchange in technology include cyber-physical
systems, IOT, cloud computing and cognitive computing. In the fourth
industrial revolution, emphasizing the integration between the internet and
the use of big data. Precision farming is about managing variations in the
field accurately to grow more food using fewer resources and reducing
production costs.
1.1 Precision farming

Precision farming is modern agricultural practice involving the use of
technology in agricultural like remote sensing, GPS and Geographical
Information System (GIS) for improving the productivity of agricultural. It is
precise application of agricultural inputs with respect to soil, weather and

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crop need in order to improve productivity, quality, and profitability in
agricultural. Water and fertilizer resources will be utilized efficiently under

the precision farming. It is enable farmers to use crop inputs more efficiently
including pesticides, fertilizers, tillage and irrigation water. Currently

precision agriculture techniques are still under development and requires to
increases opportunities for skilled employment in the agricultural sector and
also provides new tools for evaluating multifunctional aspect including non-
market functions. To farmers and land owners who decide to use technology
to manage their fields, precision farming seems to bring many benefits, and
ultimately increase of profit.
1.2 Smart IOT agricultural

Intelligent Agricultural Revolution refers to the use and integration of
the latest technology such as IOT more widely in agriculture with the aim of
increasing the quantity and quality of harvests of domestic crops. Through
this system, farmers can monitor and control agricultural activities from
anywhere using a smartphone through a specially created
application. Through IOT and smart agriculture we invite young farmers
involved in agriculture as it does not involve the use of brute strength but
entirely driven by the technology at our fingertips. For example, the drone
can be used to spray insecticides, analyze and monitor the results of soil
cultivation of plants quickly and without using manpower. In addition,
sensors or sensor-based Internet of Things (IOT) can also be used to
transmit data or information related to the plant immediate (real-time) for
further action by the farmers.
1.3 Problem statement

All aspects of the environment such as soil, weather, vegetation,
water are different from place to place. All these factors determine crop
growth and farming success. Farmers have always been aware of this, but

they lacked the tools to measure, map and manage these variations
precisely. Most of plantations in Malaysia are still using traditional
methods. Plants need proper care and neat. Things like temperature,

humidity, light, nutrients, water and air must be constantly monitored by
farmers from time to time to prevent the simple plants wilted, stunted or

suffer from enlargement. In addition, farmers could not assess the current
state of the plant with only a rough observation. Most of the problems occur
only realized when it has damaged crops. Despite the problems discovered,

farmers take time to work and find the cause of the problem. Agricultural
productivity nowadays may seem to have reached a stationary point due to

the global availability of fertilizers and pesticides which are used to improve
crop yield. However, misuse of these products and lack of awareness of the
field parameters can decrease our productivity and endanger the

environmental balance in the cultivation area.
1.4 Research objectives

i. To developed a novel smart IOT application kit which used in
agricultural for efficient environment monitoring.

ii. To improve agricultural yield and reduce potential environmental risk

by using smart agricultural kit.
iii. To monitor and control farming activities in real time data ensuring

and provide correct information to farmer through smart application.

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iv. To save time and cost of farming activities through smart IOT
agricultural kit.

2.0 Methodology
This research has been conducted as a pilot project in Polytechnic

Mersing in May 2019. In this project we have developed the smart
agricultural kit which can control and monitoring activities in Chilli farm
such as water irrigation system, temperature and humidity reading, EC
monitoring, automatic fertilizer mixing, insecticide spray and cctv
monitoring system. We have design Fabric Monitoring Portal Application
system in this project to manage the farming activities through online using
mobile phone. Data from sensor hub is sent to the Fabrick Monitoring
Platform, where farmers are able to monitor information such as fertilizer
concentration, tank capacity, and environmental information in a live
dashboard. All information can also be viewed from smart phone.
2.1 Description of methodology

This research has been divided in to three section. First is develop
prototype for smart Farming, second develop solar energy power to supply
power for control devices and final one is develop smart agricultural kit for
manage the precision farming.
2.2 Develop prototype for smart farming

The development of this prototype model is an innovative method of
control and manage water irrigation system to the farm. In this section, the
piping for irrigation system has to design together with farming devices such
as drip irrigation pipe, pump, water tank and water control devices as
shown in Figure 1.

Figure 1: Prototype piping system for smart agricultural

This system using automation of water irrigation systems using IOT
technology. In this method the pump will be activated by using the smart
IOT agricultural kit to irrigate water and spray pesticides according to the
prescribed schedule. The sensor will be used to detect the quantity of water

in the main tank and to detect and control the ambient temperature of the
crops area. The sprinkler system will be activated and water will be pumped

throughout the plant to control the ambient temperature. In this design,
pesticides work is also handled atomically when needed by just click to
application in mobile phone. Main water tanks will be used for the purpose

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of water irrigation system. Rain water harvesting method also has been
build up in this system for harvesting rain water and resupply to farming
activities through sprinkler when temperature is high. All this function will
be control by smart agricultural application kit which has developed for
farming purposed.
2.3 Develop solar energy power to supply power for control devices

This pilot project was design to use renewable energy as a source for
operate the farming devices. The main focus is developed a solar system
which will be used to supply electrical power for agricultural project using
solar package devices such as solar panels, inverter (DC to AC), solar
charger and battery. Safety aspect such as overload and short circuit are
taking in consideration when developed this solar energy system as shown
in Figure 2. Smart IOT kit will be used to send signals to the system
interface to control all electric and electronic devices using electricity from
solar energy which able to generate total power of 1000 watt.

Figure 2: Solar energy power supply

2.4 Develop smart agricultural kit for manage the precision farming
Smart IOT agricultural kit is one of the smart farming solutions

provide an integrated IOT platform that allows farmers to leverage sensors,
smart gateways and monitoring systems to collect information, control
various parameters on their farms and analyze real-time data in order to
make informed decisions. These smart farming solutions as shown in Figure
3 is to ensure crops are well nourished and watered without human
intervention. Smart irrigation helps farmers to avoid water wastage and
improve the quality of crops growth in the field, by irrigating at the correct
time, minimizing runoffs and other wastage as well as determining the soil
moisture levels accurately. The data collected from sensors are stored in the
cloud and can be easily accessed using a phone, tablet or laptop. The
solutions are aimed at increasing farming productivity and quality, reducing
labour costs and maintaining the sustainability of value chain.

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Smart IOT Agricultural Kit for Precision Farming

Figure 3: Smart agricultural kit for precision farming

3.0 Results and discussions
3.1 Smart agricultural kit application

This section discusses on how to setup the application and the results
obtained from the farming activities study. The application software
developed from Fabric.atilze.com and this software need to subscribe from
internet service provider in order to access cloud data storage and internet
access. The schedule for farming activities will be create according to type of
crop or vegetables. The farming schedule need to setup in order to monitor
and get the actual data from devices. The smart application web developed
combined with the sensor Hub to enable more advanced functionality and
crop performance. The function which setup in this system will display the
whole information of farming activities as shown in Figure 4.

Figure 4: Setup for farming activities and display

The function of each setting will be display and farmer able to monitor
the activities accordance with feedback received from smart kit system as
shown in Table 1.

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Table 1: Data reading for farming activities

No Item Function

1. EC Reading Strength of nutrient ( 1.6 – 2.2)

2. Fertilizer Tank A Nutrition Fertilizer Type A

3. Fertilizer Tank B Nutrition Fertilizer Type B

4. Irrigation Pump To spraying water for crop

5. Mixing Pump (Dosain Pump) To mixing up fertilizer with water

6. Temperature ( 0 C) Surrounding temperature

7. Humidity Percentage % Content of humidity in air

8. Fertilizer Schedule Time to deliver fertilizer

3.2. Result through monitoring system for farming activities
The output for each function will be display and record in this system.

Farmer will be received the SMS alert through mobile phone to notify the
functions and also alert if there is any error or malfunction as shown in
Figure 5.

Figure 5: SMS Alert to through phone

i. Notify alert and function
a. EC Reading

The electrical conductivity of water estimates the total amount of
solids dissolved in water. Full-strength nutrient formulas usually have a
target EC of about 1.8- 2.0. During the vegetative growth stage, it's best to
keep the EC in the 1.6-2.0 range for most vegetables. If the EC rises above
2.0 during the vegetative growth stage, just add more water to the reservoir
to lower the EC. If the EC reading is high, then it will show in display
system as shown in Figure 6 and same time will send notification alert to
farmer.

Figure 6: EC reading display 87

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Smart IOT Agricultural Kit for Precision Farming

b. Fertilizer type A and type B
The mount of fertilizer Type A and Type B will be fill up in two

different drums to mixing up with water irrigation system using Dosain
Pump. Sensor will be used to detect the amount of water in both drums. If
the level of water below the setting point, then the sensor light will be in
OFF status and system will be notify through display as shown in Figure 7.

Figure 7: Status of fertilizer level
c. Irrigation pump

The irrigation pump has been setup to ON and OFF according to time

required by type of crop. Normal setting is 3@4 times a day to supply water
to crops. The system will send SMS notification to farmer when the pump is

ON and OFF (Figure 5). If there is no notification received, then the farmer
should alert and check the status of water level or pump.
d. Mixing pump

The function of mixing pump is to mixed up the fertilizer
concentration with water in order to get correct EC reading. If the EC level
is high, then the pump will not be ON and same time system will notify the
farmer through SMS. Then farmer could ON the pump manually by using
his mobile phone if necessary.
e. Temperature 0C and humidity

The temperature on farming area always be monitor through this
system. If the temperature is high, notification will be send to farmer
through SMS. Then farmer can manually on the sprinkler which is
connected to rain harvesting tank in order to reduce the temperature. The
humidity also should be monitor from this system as shown in Figure 8.

Figure 8: Temperature and humidity reading
f. Fertilizer schedule

In this system, activity of water irrigation process has been setup
according to type of crops. This setting always be changeable according to
progress on growing and the irrigation schedule will display in system as
shown in Figure 9.

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Figure 9: Irrigation schedule and water measurement

4.0 Conclusions and recommendation
Precision farming will optimize use of water and pesticides however

data and automation can help farmers address the many challenges of the
future. In the past, precision agriculture was limited to larger operations
only. Today, however, mobile apps, smart sensors, drones and cloud
computing makes precision agriculture possible for farming cooperatives
and even small family farms. To raise awareness among farmers of the
benefits of new farming technology. It is particularly challenging due to
lured by the promise of employment and a modern lifestyle, many rural
youths have relocating to urban area. It is pertinent to attract and retain
youths within the farming industry, particularly those who are technology-
savvy, by providing suitable employment opportunities in rural areas.

Changing the old practices to incorporate the new, we can attract the
youth who are tech-savvy with employment opportunities in the form of a
modern, hi-tech farm. IR 4.0 is probably the best platform to drive changes
in increasing productivity and support the shift towards an innovation- and
knowledge-based economy. With youth involvement, it would be easier to
incorporate new farming technology and change farming culture. By
creating modern high-tech farms, establishing permanent food parks,
building learning institutions for modern farming and forming an
agriculture outsourcing service (AOS) such job opportunities can be created.
Favourable financial schemes have to be expanded to enable farmers to
upgrade and modernise their farms and the government has to encourage
the establishment of AOS to help farmers put smart farming into practice.

5.0 Acknowledgement
This research was funded by a grant from Ministry of Education of

Malaysia (TVET Applied Research Grant Scheme - T-ARGS and its reference
number: KPT.JPP.PPPP.700-1 Jld.19 (102)/1 Oct 2018)- Smart Agricultural
System Using IOT Technology.

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Ketua Yayasan Ibnu Sina, Batam, Indonesia x
Direktur Politeknik Jambi xi

Jawatankuasa Induk & Pelaksana xii
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BIL KOD ARTIKEL TAJUK ARTIKEL MUKA SURAT

1 EDU01 Penguasaan Kemahiran ICT Pelajar Bagi Dua Program 1
Diploma Kejuruteraan di Politeknik Merlimau.

Nor Zuliana Abdul Latif, Mohd Fauzi Hassan, Siti Khalijah
Shuib

2 EDU02 Engaging Android Game-Based Learning in Technical 10
Higher Education: The Influence of Subjective Norm Roles
on Quality of Use.
Norhafizah Ismail, Ahmad Fauzi Mohd Ayub

3 EDU03 The Use Of Workbook Dfc2083 For Database Design 21
Course In Politeknik Mersing, Johor.
Norshadila Binti Ahmad Badela

4 EDU04 Aplikasi Pendidikan 4.0 Dalam Pendidikan Teknik Dan 27
Vokasional.
Nuraini binti Mohd Rashid, Noorziza Binti Abdul Aziz, Adzrina
binti Aman

5 EDU05 Menentukan Kesahan Dan Kebolehpercayaan Item 36
Pentaksiran Kursus Electrical Technology Dengan
Menggunakan Model Rasch.
Nurizan binti Tahir, Turina binti Tumeran, Muhammad Amirul
bin Abdullah

6 EDU06 Media Sosial sebagai Medium Perkongsian Maklumat dan 42
Pembelajaran Kendiri dalam Pengajaran dan Pembelajaran.
Nurul Shakirah binti Mohd Zawawi, Intan Shafinaz binti
Mohammad

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49 SS23 Evaluasi Tingkat Kepuasan Mahasiswa Politeknik Jambi 439
Dalam Proses Belajar Mengajar.
Okka Raisa Lestari, Arisman

50 SS24 Pengaruh Pendidikan Kesehatan Tentang Inspeksi Asam 444
Asetat (Iva) Terhadap Pengetahuan Wanita Usia Subur
(Wus) Dalam Deteksi Kanker Serviks Di Puskesmas Putri
Ayu Kota Jambi Tahun 2018
Rahmah, Hesty, Nurfitriani

51 ICT01 An Analysis of WLAN Performance In Politeknik Mukah. 452
Luqman Bin Md Arif

52 ICT02 Smart Agricultural Project Using IoT Technology. 458
Murugan Krishnan, Raveendran Ramasamy

53 ICT03 Application of Wireless Internet in Networking using 464
NodeMCU and Blynk App.s
Nabilah binti Mazalan

54 ICT04 Perancangan Dashboard Sistem Informasi Tahanan atau 472
Narapidana Pada Rumah Tahanan Negara Klas ii Batam
Afrina, S.Kom, M.SI, Ririt Dwi Putri Permatasari, ST, M.SI

55 ICT05 Design of Education Environment Smart Based on 478
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Muhammad Ropianto, B. Herawan Hayadi

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BORANG PENGESAHAN PENDAFTARAN
PERTANDINGAN INOVASI SGFAMB 2019

NO ID : AGR003

NO BOOTH : T3

SUB TEMA : AGROTEKNOLOGI

TAJUK PROJEK/ INOVASI: SMART FARMING USING IOT TECHNOLOGY WITH
SUSTAINABLE ENERGY TOWARDS IR 4.0

KATEGORI : AHLI AKADEMIK/ PENSYARAH

E-MAIL : [email protected]

NAMA PESERTA NO KAD PENGENALAN
MURUGAN A/L KRISHNAN 660816-05-5383
RAVEENDRAN A/L RAMASAMY 720113-04-5391
ZULHAIRIE ADNI BIN ABDUL HALIM 710505-11-5281

Catatan:

Pengesahan Pendaftaran: Pengesahan Pembayaran:

*Sila cetak borang ini untuk kegunaan semasa hari pendaftaran

LAMPIRAN 2

BORANG TRGS - P1
Kod Rujukan:
(Diisi oleh PPI/RMC)

JABATAN PENDIDIKAN POLITEKNIK DAN KOLEJ KOMUNITI
KEMENTERIAN PENDIDIKAN MALAYSIA
TVET RESEARCH GRANT SCHEME

SKIM GERAN PENYELIDIKAN TVET
LAPORAN KEMAJUAN

TVET RESEARCH GRANT SCHEME

Laporan Kemajuan Skim Geran Penyelidikan TVET

A TAJUK PENYELIDIKAN:

SMART AGRICULTURAL SYSTEM USING IOT TECHNOLOGY

TEMPOH PROJEK: OKTOBER 2018 SEPTEMBER 2019

KETUA PROJEK: Ts. MURUGAN KRISHNAN

AHLI KUMPULAN:

1. Zulhazmi Bin Kassim
2. Ruslaimi Bin Abd Kadir
3. Raveendran A/L Ramasamy
4. Zainudin Bin Mat Taib

PRESTASI PROJEK

LAMPIRAN 2

Kemajuan projek mengikut 0 25 % 26 50 % 51 75 % 76 100 %
carta perbatuan
Peratus Projek ini dirancang dalam 4 Fasa pembangunan:
a. Fasa 1 : Pembangunan Rumah Pelindung Hujan (RPH). Telah
Tandakan selesai dibangunkan pada Feb Mac 2019.
b. Fasa 2 : Pembangunan Prototaip Sistem Solar. Telah selesai
Rumusan Tahap membuat pemasangan berserta dengan system keselamatan pada
Pembangunan April Mei 2019.
Prototaip/Sistem Terkini c. Fasa 3 : Pembangunan Prototaip Sistem IOT dan Interfacing. Telah
selesai dilaksanakan termasuk sesi latihan kemahiran kepakaran
mengendalikan Sistem dan membangunkan aplikasi software pada
Jun 2019.
d. Fasa 4 : Membangunkan system fertigasi pemasangan paip dan
tangka air berserta dengan alat kawalan pada Jun Julai 2019.

Seterusnya penanaman sayuran mula ditanam pada Minggu Pertama Julai
2019 dan seterusnya menjaga dan memantau aktiviti pertanian ini dengan
menggunakan aplikasi yang dibangunkan.

Data telah direkod dan beberapa penambahbaikan telah dilaksanakan
sehingga pada hujung bulan Ogos 2019.

Pada masa yang sama kajian penyelidikan dan data kajian telah dikumpulkan
untuk penulisan kertas penyelidikan berkaitan projek ini sehingga akhir bulan
Ogos.

Kertas penyelidikan yang dihasilkan akan dibentangkan dalam ICOR-TVET
2019 di Pamulang Universiti , Indonesia pada 8-10 Oktober 2019.

Secara keseluruhannya, status kewangan terkini yang telah dibelanjakan
adalah 91.63%.

Hasil pertanian akan mula dikutip bermula Minggu ke-3 September 2019.

Projek ini telah dipantau dan di audit oleh pegawai dari PPIP, JPPKK yang
diketuai oleh Dr.Saifuddin Kumar dan pasukan pada 4hb.Septemebr 2019.

LAMPIRAN 2

LAMPIRAN 2

LAMPIRAN 2
PERBELANJAAN

LAMPIRAN 2

Peruntukan Diluluskan : RM 110,000.00

Jumlah Perbelanjaan : RM 109,999.72

Baki : RM 0.28

Peratus Belanja : 99.99%

OS21000 OS24000 OS26000 OS27000 OS28000 OS29000 OS35000 OS39000 NO. LO
B (RM) (RM) (RM) (RM) (RM) (RM) (RM)
(RM)
11,000.00 19,600.00 19,200.00

2,042.72 18,000.00
19,400.00 11550.00
9270.00

LAMPIRAN 2