By sujal s panchal 22RAA096

1. IOT
(INTERNET OF
THINGS)

2. WHAT IS IOT ?
Internet of Things, refers to the
collective network of connected
devices and the technology that
facilitates communication between
devices and the cloud, as well as
between the devices themselves.
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3. IOT APPLICATIONS
This seamless connection between
machines, humans, and data means
that IoT simplifies, improves, and
automates processes. Sensors,
coupled with connectivity
and artificial intelligence, have the
potential to make several systems
more efficient. It cuts costs in areas
that were historically not possible.
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4. TYPES OF IOT
APPLICATIONS
•Creating better enterprise
solutions. ...
•Integrating smarter homes. ...
•Innovating agriculture. ...
•Building smarter cities. ...
•Upgrading supply chain
management. ...
•Transforming healthcare. ...
•Installing smart grids. ...
•Revolutionizing wearables.
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5. INNOVATING
AGRICULTER
Agriculture, as an industry, could
massively benefit from the Internet of
Things. The world’s human population
is estimated to grow to around 10
billion by 2050. As such, governments
are prioritizing the scaling up of
agricultural systems. This, combined
with climate change, has farmers
marrying technology to cultivation.
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6. MORE ABOUT INNOVATING AGRICULTER
• Sensors are used to provide details of soil chemistry and
fertilizer profiles. CO2 levels, moisture, temperature,
temperature, level of acidity, and the presence of
appropriate nutrients all contribute to how good a harvest
turns out to be.
• Smart irrigation is an IoT application to regulate and
and efficiently use water for farming. The IoT system only
initiates the water flow when the soil reaches a certain
dryness level. It also stops the supply once a certain level
of moisture is reached. This reduces wastage caused by
human errors.
• Livestock tracking involves the use of RFID chips to keep
to keep track of an animal’s vitals, vaccination details, and
location.
• A smart greenhouse uses microclimate to raise crops
instead of relying on changing weather patterns. Sensors
monitor and control all parameters and have automated
systems for light and water.
• Predication farming is the practice of using information
information collected over time to hone and implement
agricultural practices. The data provided by these sensors
allow farmers to decide on the ideal growth parameters and
suitable fertilizers.
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7. THANK YOU!