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Automated plant leaf detection monitoring with CNN + Raspberry Pi and pesticide spraying system

Features: Capture leaf images with a USB camera. Classify leaves as Healthy, Moderately Healthy, or Unhealthy using a CNN Trigger pesticide spraying automatically via GPIO-controlled relay Lightweight and fully deployable on a Raspberry Pi

Setup: 1)Install Dependencies:pip install tensorflow opencv-python numpy RPi.GPIO 2)Connect Hardware Connect water pump to the relay Connect relay to GPIO pin 14 3)Place your Model:Copy infectionclassifier.h5 to /home/pi/ or update the path in the code 4)Run the Script

Folder Structure: Data -healthy -moderately healthy -unhealthy

Acknowledgements:

  • TensorFlow, OpenCV, and RPi.GPIO libraries were used for machine learning, image processing, and hardware control

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The model training code for detection of plant image

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