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Agricultural Land Monitoring with Dry Leaf Detection using MATLAB with Arduino is a kit model develop using embedded systems. The main aim of this project is to analyze the growth of particular plant species and substantially detects the sickness if any occurred on plants.

In recent days, smarter techniques are deploy for improving the field of agriculture by providing healthy products.

Embedded system is operate with the assistance of MATLAB software which is popularly use in multiple fields. According to this concept, the leaf images are capture and fed into MATLAB software for identifying the dryness of leaf.

The hardware components are wired to form a kit and leaf images are collect from camera then they are submit into MATALB programs for the detection of dry leaves. Image processing techniques are apply to predict the leaf’s current status.

Hardware Components Used for Designing Agricultural Land Monitoring with Dry Leaf Detection Using MATLAB with Arduino

  • Land Moisture Sensor
  • pH Sensor
  • Humidity Sensor
  • Temperature Sensor
  • Arduino microcontroller
  • Liquid Crystal Display
  • Web Camera
  • Xbee Module

Agricultural Land Monitoring with Dry Leaf Detection using MATLAB with Arduino

   Hereby a set of trending topics are aggregate in the area of embedded systems and point out in the following,

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Embedded-System Titles,
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Some kind of Trendy Titles for you,
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  • A smart wheel chair design at low cost also for disable persons
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  • Designing a bomb diffusing robot using arm microcontroller and also control by android application
  • Using SCADA for developing a home energy monitoring system also in embedded
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  • A robot designing to spray water over the detected fire and also it is controlled by mobile phone
  • Avoiding accidents also by detecting over speed vehicle moving on roads using Arduino microcontroller
  • PIC microcontroller and ZigBee also for monitoring temperature and humidity of the environment

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