This document discusses how IoT can improve agricultural productivity. It begins by defining IoT and smart agriculture as the application of IoT solutions in agriculture. It then discusses several key IoT use cases in agriculture like monitoring climate conditions with weather stations, automating greenhouses, managing crops and cattle with sensors, and collecting data to prevent diseases and maximize yields. The document concludes by noting that IoT can expedite tasks and optimize operations to increase agricultural productivity globally.

1. NADAR SARASWATHI COLLEGE OF
ARTS AND SCIENCE
DEPARTMENT OF COMPUTER SCIENCE
INTERNET OF THINGS
TOPIC: IOT AGRICULTURE
PRODUCTIVITY
PRESENTED BY…,
M.Shakthi MSC (CS)

2. what is IOT?
The Internet of Things refers to the rapidly growing network of connected objects that are able to
collect and exchange data in real time using embedded sensors.
What is smart agriculture?
Smart agriculture is mostly used to denote the application of IoT solutions in agriculture. So what is
smart agriculture using IoT? By using IoT sensors to collect environmental and machine metrics, farmers can
make informed decisions, and improve just about every aspect of their work – from livestock to crop farming.
The adoption of IoT solutions for agriculture is constantly growing. COVID-19 has had a positive
impact on IoT in the agriculture market share. Disruptions in the supply chain, and the shortage of qualified
workers, has propelled its CAGR to 9,9%. In fact, as per recent reports, the smart framing market share is set to
reach $6.2 billion by 2021.

3. IoT use cases in agriculture
There are many types of IoT sensors for agriculture as well as IoT applications in agriculture in general.
Monitoring of climate conditions
Probably the most popular smart agriculture gadgets are weather stations, combining various smart farming sensors.
Located across the field, they collect various data from the environment and send it to the cloud.
Greenhouse automationThe use of IoT sensors enables them to get accurate real-time information on greenhouse conditions
such as lighting, temperature, soil condition, and humidity.
In addition to sourcing environmental data, weather stations can automatically adjust the conditions to match the given
parameters. Specifically, greenhouse automation systems use a similar principle.

4. crop management
Just like weather stations, they should be placed in the field to collect data specific to
crop farming; from temperature and precipitation to leaf water potential and overall crop health.
You can monitor your crop growth and any anomalies to effectively prevent any diseases or
infestations that can harm your yield.
Cattle monitoring and management
Just like crop monitoring, there are IoT agriculture sensors that can be attached to the
animals on a farm monitoring their health and log performance. Livestock tracking and monitoring help
collect data on stock health, well-being, and physical location.
For example, such sensors can identify sick animals so that farmers can separate them from the herd
and avoid contamination.

6. IOT PROTECTIVITY:
Offices are becoming more productive in various ways thanks to smart technologies. The IoT
may expedite regular chores, optimize operations, and lower costs by integrating them into daily processes.
In fact, according to one research, the IoT's increased productivity may bring in $1.2 trillion globally.
Productivity is a measure of the rate at which output of goods and services are produced per unit
of input (labour, capital, raw materials, etc.). It is calculated as the ratio of the quantity of output produced
to some measure of the quantity of inputs used.
What is a productivity example:
Productivity is commonly measured in output per worker or output per worker per hour. For a
manufacturing company, a measure of productivity might be the number or value of the finished products
each worker can produce within a given time

7. THANK YOU