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Performance Analysis and Modeling ofSoil Moisture of Irrigation Cropland
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Performance Analysis and Modeling ofSoil Moisture of Irrigation Cropland

Category : RTOS

Sub Category : Agriculture

Project Code : ITROS03

Project Abstract



There has been an ongoing effort to increase the number of advanced metering infrastructure (AMI) devices to improve system observability. When deployed across distribution secondary networks, AMI provides building-level load and consumption information, which can be used to improve grid management strategies. A barrier to implementation is the significant upgrade costs associated with retrofitting existing meters with network-capable sensing. One economic way is to use image processing methods to extract usage information from images of the existing meters. This paper presents a solution that uses online data exchange of power consumption information to a cloud server without modifying the existing electromechanical analog meters. In this framework, a systematic approach to extract energy data from images is applied to replace the manual reading process. A case study is presented where the digital imaging approach is compared to the averages determined by visual readings over a one-month period.



Existing system

Proposed system

   To deliver the power in critical time is one of the challenging techniques.

   Non renewable energy sources are used for power generation.


Drawbacks of existing system:

     Do not deliver reliable power.

     Pollute the environment

     Power shutdown taken place


  RTC(real time clock) is used for scheduling power to a distribution network.

   Current sensor is used for protect the device from damages

Advantages of proposed system:

     Deliver the reliable  power

     Protect the device from damage.

     GSM is used for intimation.

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