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Advanced Imaging System for Vegetation Health Monitoring Using CCD Technology

This project details the design of an unattended imaging system to monitor vegetation health. Utilizing a small computer and a monochrome CCD camera equipped with red and near-infrared (NIR) filters, the system captures ratio images (2D maps) of vegetation over extended periods. The setup can be powered by a battery or solar photovoltaic cells, ensuring durability in remote locations. The captured NIR to red bands will be processed using MATLAB or other programming languages to create ratio images efficiently, providing insights into the health of vegetation based on reflectivity data.

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Advanced Imaging System for Vegetation Health Monitoring Using CCD Technology

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  1. An Imaging Vegetation Status Monitoring SystemMini Senior Design ProjectSubmitted byHector ErivesAugust 31, 2005

  2. Objectives:Use of a small computer-camera with color filters arrangement to take images of vegetation.Development of a system that will be unattended for weeks. The system could be powered by a battery or PV cells.The product will be ratio images (2D maps) of a field, of the NIR to Red bands.

  3. Tools and Methods:A monochrome CCD camera with Red and IR filters (or a wheel filter). Standard CCD cameras: 1024x1024 pixels, 12-bit resolution (4096 DNs). Standard CCD camera lenses. Red filter (650 nm CW), NIR filter (850 nm CW).A PC, Laptop, or a Single Board Computer (SBC) with enough memory to save the images, i.e. Image=(1024x1024 pixels)x12 bits/pixel/8 bits/Byte=1.5 MB. Required: 2 images (Red,NIR) of the scene x 3 images/day. Could save only the Ratio to save memory. i.e. Ratio=NIR/Red

  4. Tools and Methods:Use MATLAB to manipulate the images, i.e. compute the ratioin a pixel-by-pixel basis, i.e. The product will be ratio images of 1024x1024 pixels.Can also write a program in “C”, Visual Fortran, or IDL to manipulate the images.Save the ratio images to a file with a name so that it differentiates from the rest of the images (from other times and dates), i.e.ratio_9:40_9105, ratio_1:30_9105, …Could use a standard Nickel-Cadmium battery (economic solution) 12 V @ 100 mA – 4A. Can also use Photo-Voltaic (PV) cells but have low efficiency (< 15%).

  5. Healthy vegetation Why use Red and NIR wavelengths?: High DNs (Reflectivity 1) Vegetation with lack of Nutrients (water, fertilizer) DNs or Reflectivity Soil Low DNs (Reflectivity 0) UV(400nm) Red (650nm) NIR(850 nm) Wavelengths (nm)

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