IOT Based Agriculture Monitoring

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Wi-Fi devices have invaded the medical area with a wide range of capability. To monitor the Agri land details in the periodic interval is on overhead using existing technologies. In general, three different sensors are used to gather land information without being injecting inside the Agri land by this we are achieving remote monitoring and data gathering of a particular land.

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Package Includes:

  • Complete Hardware Kit

  • Demo Video-Embedded Below

  • Abstract

  • Reference Paper

  • PPT (20 Slides)

  • !!! Online Support !!!

SKU: IOT Based Agriculture Monitoring Category:

Description

Abstract

In these methods of water usage in the context of emergency medical services, researchers need to prototype integrated water sprinkling systems. We used off-the-shelf sensor devices and software to realize real-time Agriculture monitoring within an integrated water springling system prototype. We demonstrate its practicableness by presenting the integrated period of time agriculture watching resolution, by finding out signal delay and transmission lustiness relating to ever-changing channel characteristics, and by evaluating problems rumored by the physicians throughout the trial section.

Existing System

The presented service integration approach using a simple message broker enabled a rapid system implementation and proved suitable for creating an integrated water springing system. Advanced reporting or data-exchange with external entities, however, is limited. The use of concepts like Enterprise Integration Bus might be a viable option to address this issue and is left for future work.

Proposed System

Wi-Fi devices have invaded the medical area with a wide range of capability. To monitor the agri land details in the periodic interval is on overhead using existing technologies. In general, three different sensors are used to gather land information without being injecting inside the agri land by this we are achieving remote monitoring and data gathering of a particular land.

Block Diagram

block diagram of IOT Based Agriculture Monitoring

Hardware Tools

  • Nodemcu ESP8266
  • Temperature Sensor
  • Moisture Sensor
  • PIR sensor
  • Motor

Software Tools

  • Arduino IDE
  • Language: Embedded C

Advantages

  • High quality receiving data
  • High-speed data rate

Additional information

Weight 1.000000 kg

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