Description

ABSTRACT

In the Agricultural field, a major problem other than water, faced by the farmer is Insects or disease caused to the plant. To identify the disease we are using Image processing using Matlab, to overcome the problems like processing speed, we are using OpenCV technology to identify the plant disease. This can be done by capturing the Image and process the image of the plant to identify the disease.

BLOCK DIAGRAM

BLOCK DIAGRAM DESCRIPTION

In the above block diagram, Camera is connected to the system either by USB camera as wired or by IP camera as wireless. The monitor is connected to the Raspberry Pi through VGA to HDMI converter.

 

PROJECT DESCRIPTION

The first camera is projected on the Leaf, then by pressing the keyboard keys to capturing the image of the Leaf, then the captured image is processed using Neural Network to process the image to identify the disease. After capturing the image, preproce3ssing like removing the noise will be done, then it is processed through layers to identify the disease.

HARDWARE REQUIRED

• Raspberry Pi
• Power Adapter
• HDMI to VGA converter (optional, when connecting to Monitor)
• Camera

 

SOFTWARE REQUIRED

• Raspbian Jessie
• SD Card Formatter
• Win32 Disk Imager (or) Etcher

 

LIBRARIES USED

• Rpi.GPIO as GPIO (To access GPIO Pins of Raspberry Pi)
• Time library (For Delay functions)
• CV2

 

CONCLUSION

This system can be further innovated by feeding this leaf disease detection to the Robots, to feed pesticides to the plants which are affected.