This document discusses how IoT can help transform agriculture through smart farming applications. It begins by discussing how IoT has four main components: digital sensors, connectivity, middleware, and applications/analytics. It then discusses how IoT is becoming more viable through cheaper hardware, better software development, and improved connectivity. The document outlines several smart agriculture applications of IoT including increased business efficiency through automation, enhanced product quality and volumes, ability to detect anomalies, and data collection. It concludes by discussing IoT maturity phases and the benefits of using technologies like drones for tasks like irrigation, fertilizing, crop monitoring and analysis.

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IoT
Applications
in
Agriculture
Dr. Mazlan Abbas - FAVORIOT
DigiAC
22 Dec. 2020

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Disclaimer
I’m Not a Farmer

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Less Worker in Farms

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Need the Help of
Technology

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Using Technology to Transform 7M in
Businesses
01
02
03
04
05
06
07
Manpower
Material
Machine
Method
Market
Money
Manage
ment
Technology

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4 Main Components of IoT
01
02
03
04
Digital Sensors – Temp,
humidity, pressure, gas, etc
Fixed or wireless
Platform that aggregate
heterogeneous devices with
different protocols
Workflow, analytics and insights
Sensors & Actuators
Connectivity
IoT Middleware
Applications & Analytics

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Why IoT is Now at an Inflection Point?
Cheaper and smaller.
Hardware
Key
Growth
Factors
Ripples of
technologies.
Simple and faster.
Software
Development
Becoming pervasive.
Connectivity
“Network Effects”
Metcalfe’s Law
Number of transistors double
every 2 years.
Moore’s Law

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I need to
maintain the
quality of my
goods.
Who is the
intruder?
Can I reduce
my electricity
bill?
Am I
healthy?
When is my
next bus?
Where can I
park?
Monitoring of Assets – Typical Everyday
Questions
What IF we can connect ALL these assets and get the answers to ALL these questions?
The Need To Connect Assets

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Animated 3D 4 Steps and Core PowerPoint Template
By using smart devices , you
can increase business
efficiency through process
automation (irrigation,
fertilizing, etc.)
Business Efficiency
Enhanced product quality
and volumes through
automation.
Automation
Ability to see any anomalies
in the soil quality or crop
growth can give you better
control on your cost
management.
See Anomalies
Using sensors such as soil
quality, crop growth
progress can track the state
of your business.
Data Collection
Smart
Agriculture
Smart Agriculture

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Era of Industrial
“Revolution”

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Mechanization, steam
power, weaving loom
INDUSTRY 1.0
1784
1870
1969
TODAY
Mass production,
assembly line, electrical
energy
INDUSTRY 2.0
Automation, computers
and electronics
INDUSTRY 3.0
Cyber Physical Systems,
internet of things, networks
INDUSTRY 4.0
ERP

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Where Are We In The Industrial Revolution
IR 1.0
(Manual
With Physical Tools)
IR 2.0
(Electrical)
IR 3.0
(Automation/
Internet)
IR 4.0
(Intelligence)
1.0 3.0
2.0 4.0

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Enabling Technologies of Industry 4WRD

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Education
1.0
3.0
2.0
4.0

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Agriculture
1.0 2.0
3.0 4.0

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Barriers of IR 4.0

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Key to Digital Transformation
Door to
Success
01
02
03
04
Clear Vision and Mission
Good multi-talent
Champion that breaks down
all barriers
Mindset Transformation

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Phases of IoT
Maturity

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4 Phases of IoT Maturity
01
03
02
04
4 Phases of
IoT Maturity

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MONITORING
Vehicle Tracking

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CONTROL
Security Lock
Immobilizer

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OPTIMISE
Best Route
Safe Fuel
Optimize Engine

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AUTONOMOUS
Self-Cruising
Safe-Driving

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Benefits Using Drones
for Smart Farming
• Water and fertilizer efficiency
• Save time
• Increase yields
• Mapping
• Save money
Crop health assessment, irrigation, crop
monitoring, crop spraying, planting, and soil
and field analysis.

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PrecisionHawk

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CropMetrics
IoT in Precision Farming

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IoT for Livestock
• Livestock active monitoring – ruminating, eating, walking,
standing, lying – signs of sick or fertility
• Breath analysis – problems in diet
• Automated thermal imaging analysis – bacterial infection
• 3-D camera measuring – weight and muscle mass
• Audio health monitoring – pig cough monitor
• Automated behavior analysis – tracking thousands of chicken

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JMB North America

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IoT in Greenhouses

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Network Connectivity Challenges in Agriculture

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Reasons We
Need a Pilot
Trial

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Example – Drones Level of Autonomy

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4 Reasons We Need a National Trial
01
03
02
04
4 Reasons
We Need a
Trial

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Levels of Value
Pyramid

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Who
Generate
the Data?

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Data Ownerships
01
Personal
03
Public
04 Commercial
02 Private

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Wisdom
Knowledge
Information
Data
More
Important
Less
Important
B
e
n
e
f
i
t
t
o
H
u
m
a
n
i
t
y
Evaluated understanding
Appreciation of
Answers to questions.
Symbols
Understanding
Answers to
questions
WHO
WHY
HOW
WHAT
WHERE WHEN
Value is Created by Making Sense of Data

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Home Health Transport Office
Waste
IOT Platform – Blending IoT Data
Blending Data - Creating New Compound Applications
IoT Platform

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7 IoT Business Models
Subscription
Outcome-
Based
Asset
Sharing
“Razor
Blade”
IoT
Data
Pay-Per
-Usage
Offer a
Service

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favoriot IoT
Middleware
“Create your IoT vertical solutions rapidly”

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Gateway
3G/Ethernet/Wi-Fi
IOT Devices
IOT Devices
3G/Ethernet/Wi-Fi
HTTPS
Push/Pull Service
Social
Media
Integration
DEVICE CONNECTIVITY (REST, MQTT)
APPLICATION
INTEGRATION
DATA MANAGEMENT
DATA STORE BUSINESS LOGIC
NOTIFICATION
ENGINE
REST API
Custom
Reporting
SECURITY
BIG DATA TOOLS
Application
Development
AUTHENTICATION
Data Analytics
REST CoAP
MQTT
REST

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Key Features of FAVORIOT IoT Platform
• Rapid Development
• User-friendly APIs
• Ease of onboarding IoT Devices
• Scalable platform
• Notification Engine – Email and
SMS
• IoT Support Forum Discussion
Board – Building Community
• Examples – Videos and Sample
Source Codes
• Many new and enhanced
features in Version 2.0 including
ability to make Dashboard Public

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Favoriot
IoT
Platform
Users by
Countries

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Crossing the CHASM
Innovators
Early Adopters
Early Majority
Late Majority
Laggards
THE
CHASM
Early
Market
Late
Market

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Thank You!
Join the FAVORIOT IoT
Community

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www.favoriot.com
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