Another important domain for IoT is that the agriculture domain where IoT system plays vital role for soil and crop monitoring and provides a correct solution accordingly.
Using smart farming through IoT technologies helps farmer to scale back waste generation and increase the productivity.
There are several IoT technologies available that employment on agriculture domain. a number of them are:
• Drones for field monitoring
• Sensor for soil monitoring
• Water pump for water sully
• Machines for routine operation

Smart Irrigation System
One of the parts of smart agriculture using IoT is sensible irrigation system. within the smart irrigation system, IoT checks the moisture level within the environment or within the water lanes that the farmer has created.
Now, let’s understand the working process of this smart irrigation system. Usually, the 2 main IoT devices that used here is that the Arduino board and therefore the Raspberry Pi. The Raspberry Pi becomes the most processing unit, and an Arduino board is placed from each of water channels. These Arduino boards themselves hook up with multiple sensors which are a part of this water channel so what these sensors check the moisture present in these lanes intrinsically. So, for instance a selected lane doesn’t meet the minimum required moisture then the Arduino board would send a sign to the Raspberry Pi. Again of these devices are connected on an equivalent wireless router network, and therefore the Raspberry Pi would identify the shortage of moisture and pass a sign to the relay. The relay, in turn, would initiate the pump and therefore the water would be parked now to make sure that water isn’t wasted. The smart irrigation system would be a gate system and only that gate will open where the moister is a smaller amount. Once the sensors detect that the moisture level has gone beyond the specified limit, it might again transmit another signal to the Raspberry Pi asking it to prevent the pump also. So, this helps a farmer to save lots of tons of water and also makes life quite easier also. So, after this, the farmer only task is to either fixing new plans or creating new water channels.

Internet of Things (IoT) in Healthcare
IoT technology brings numerous applications in healthcare, from remote monitoring to smart sensors to medical device integration. It keeps the patients safe and healthy also as improves the physician delivers care towards the patients.
Healthcare devices collect diverse data from an outsized set of real-world cases that increases the accuracy and therefore the size of medical data.
Factor affecting IoT Healthcare Application
There are various factors that affect the IoT healthcare application. a number of them are mention below:
• Continuous Research: It requires continuous research in every field (smart devices, fast channel , etc.) of healthcare to supply a quick and better facility for patients.
• Smart Devices: got to use the smart device within the healthcare system. IoT opens the potential of current technology and leads us toward new and better medical device solutions.
• Better Care: Using IoT technology, healthcare professionals get the big data of the patient, analysis the info and facilitate better care to the patient.
• Medical Information Distribution: IoT technology makes a transparency of data and distributes the accurate and current information to patients. This leads the less accidents from miscommunication, better preventive care, and improved patient satisfaction.
Simple Healthcare System Architecture
The application of the web of Things (IoT ) in healthcare transforms it into more smart, fast and more accurate. there’s different IoT architecture in healthcare that brings start health care system.

Product Infrastructure: IoT product infrastructure like hardware/software component read the sensors signals and display them to a fanatical device.
Sensors: IoT in healthcare has different sensors devices like pulse-oximeter, electrocardiogram, thermometer, fluid level sensor, sphygmomanometer (blood pressure) that read the present patient situation (data).
Connectivity: IoT system provides better connectivity (using Bluetooth, WiFi, etc.) of devices or sensors from microcontroller to server and vice-versa to read data.
Analytics: Healthcare system analyzes the info from sensors and correlates to urge healthy parameters of the patient and on the idea of their analyze data they will upgrade the patient health.
Application Platform: IoT system access information to healthcare professionals on their monitor device for all patients with all details.

IoT challenges in Healthcare
• Data security & privacy
• Integration: multiple devices & protocols
• Data overload & accuracy
• Cost
So, this brings us to the end of blog. This Tecklearn ‘IoT in Smart Agriculture and Healthcare Domain’ blog helps you with commonly asked questions if you are looking out for a job in Internet of Things (IoT). If you wish to learn IoT and build a career in Internet of Things (IoT) domain, then check out our interactive, Internet of Things (IoT) Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

IoT (Internet of Things) Training

Internet of Things (IoT) Training

About the Course

Internet of Things or IoT, as it is widely known, simply put, is a network of devices which can communicate with each other with regards to sending, receiving and analyzing data. Tecklearn’s IoT Training as an online training platform delivers you the best in the industry IoT knowledge by certified and experienced trainers to master IoT. Interactive sessions include two real-time projects to provide in-depth understanding of advanced IoT concepts that covers IoT methods and technologies, application deployment, network and communication protocols and integrations, security measures and real-time data management on the internet. You will learn IoT introduction, significance, building your own IoT devices, sensors, IoT communication and security. This training will help you be a part of the IoT revolution underway around the globe.

Why Should you take IoT (Internet of Things) Training?

• The average salary for an IoT Engineer is $163,514 per year in the United States. (Indeed.com)
• Many industries such as Eddie Stobart Transport and Logistics Company, the Amazon, Dell, Aviva, German Auto Manufacturer Daimler, the John Deere Company and Walt Disney Land are all utilizing the Internet of Things technology to monitor various activities and advance their existing systems.
• Gartner Says 5.8 Billion Enterprise and Automotive IoT Endpoints Will Be in Use in 2020

What you will Learn in this Course?

Introduction to Internet of Things
• What is IoT, how does it work
• IoT vs IIoT
• Business Cases of IIoT
• Industry 4.0
• Properties of IoT device
• IoT Ecosystem
• IoT Decision Framework
• IoT Solution Architecture Models
• How IoT is Transforming Businesses
• Major IoT Boards in Market
IoT Communication Protocols
• Types of wireless communication
• Major wireless Short-range communication devices and properties
• Comparison of these devices (Bluetooth, WIFI, ZigBee, 6LoWPAN)
• Major wireless Long-range communication devices and properties, Comparison of these devices (Cellular IoT, LPWAN)
IoT Architecture
• The IoT Stack Architecture and the various components and layers
• The app, the data processing and platform
• IoT OS like Contiki, FreeRTOS and mbe
• The edge and the connected thing or device
IoT Sensors and Device Platforms
• Introduction to IoT Sensors and the role they play in getting the IoT systems work efficiently
• Micro-electromechanical systems revolutionizing IoT sensors
• Use Case of Water Quality Monitoring
• Use Case: Sericulture
• Difference between microcontroller and microprocessor
• IoT Device Platforms – Arduino, Raspberry Pi etc
• Smartphone Centric Architecture
• IoT Application Layer protocols
• Hands On
Arduino Platform and Arduino Interfacing
• Arduino physical board, libraries and the Integrated Development Environment
• Arduino Shields various operations such as heat and light sensing, GPS, UI display
• Programming Arduino using C language
• Controlling external devices using pins on the Arduino board
• The Arduino Interface
• Reading inputs from various sources and providing an output
• Working with sensors for sensing and controlling the physical world
• Deploying various types of sensors and connecting it to the Arduino
• Constant conversion between analog and digital signals for information exchange between the physical and digital domains
• Hands On
Raspberry Pi Platform and Raspberry Pi Interfacing
• Introduction to Raspberry Pi
• Set up of Raspberry Pi environment
• Coding for the Raspberry Pi using Python
• Deploying Python-based Integrated Development Environment
• Interfacing the Raspberry Pi with the physical world
• Introducing the various input and output devices
• Raspberry Pi expansion boards for building complex hardware setup
• Real-time demo of Raspberry Pi interfacing
• Hands On
Arduino Uno Wifi and IoTivity
• Iotivity
• Iotivity Architecture
• Hands On
Netduino Platform and Netduino Interfacing
• Introduction to Netduino Platform
• Setting up the Netduino environment
• Coding for the Netduino
• Interfacing the Netduino with the physical world
• Introducing the various input and output devices
• Real-time demo of Netduino interfacing
• Hands On
IoT for Arduino, NodeMCU and Netduino
• Control LED light using Netduino board
• NodeMCU
• Blynk
Project: Building WSN with MQTT, Raspberry Pi & Arduino
Got a question for us? Please mention it in the comments section and we will get back to you.

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