1 / 6

Autonomous Weed Mapping Vehicle with Computer Vision Solutions

Develop a small vehicle for mapping weed and crop parameters in the field. Identification of weed species from digital images. Prioritize correct identification rate. Utilize existing methods like leaf shape analysis, texture, and color spectra. Explore new ideas for effective solution.

niabi
Download Presentation

Autonomous Weed Mapping Vehicle with Computer Vision Solutions

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. A New Project • Build and equip a small autonomous vehicle for mapping weed and crop parameters in the field • Participants: DJF, AAU, KVL, private companies • Project period: Nov 2000 - May 2003

  2. A Computer Vision Problemto be Solved Identification of weed species from digital (colour) images • Only weed plants without overlap • Weed plants from cotyledon stage until two foliage leaves • Only a few selected weed species (< 20?) • Correct identification rate at same level as reported by other researchers • Sampling scheme (not cover entire field) • Solution based on existing method if possible

  3. Potential Methods Reported methods include recognition of • Leaf/plant shape (e.g. template matching, Fourier analysis of contour) • Leaf texture (e.g. Fourier transform, wavelets) • Leaf colour/reflection spectra (e.g. linear discriminant analysis)

  4. Representation of the Contour by a Fourier Series Colour photo of cornflower at cotyledon stage Contour and Fourier approx.

  5. Classification based on Image Database of Known Weed Plants • Derive linear or quadratic discrimination functions by analysing images of known weed plants • Compare feature vector of an unknown weed with feature vectors in a database of known weeds - e.g. by Mahalanobis distance measure

  6. We are open to new ideas!

More Related