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Automated Vegetation Monitoring System for Field Analysis

This project aims to create a self-sustaining imaging system using filters to analyze vegetation health by capturing NIR and Red band images. The system, powered by battery or solar cells, will generate ratio images for remote field monitoring. Employing a monochrome CCD camera with color filters and MATLAB processing, it will deliver accurate data on vegetation status. With a focus on pixel-by-pixel ratio computation and efficient data storage, this tool offers a cost-effective solution for monitoring and identifying vegetation conditions. The selection of Red and NIR wavelengths enables differentiation between healthy vegetation, nutrient-deficient plants, and soil areas. This innovative system ensures consistent and reliable vegetation assessments for agricultural and environmental applications.

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Automated Vegetation Monitoring System for Field Analysis

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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. Why use Red and NIR wavelengths: Healthy vegetation 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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