1. Danish Institute of Agricultural Sciences Henning T. Søgaard Dept of Agricultural Engineering Email: HenningT.Sogaard@agrsci.dk 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. Danish Institute of Agricultural Sciences Henning T. Søgaard Dept of Agricultural Engineering Email: HenningT.Sogaard@agrsci.dk A Computer Vision Problem to be Solved 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 Identification of weed species from digital (colour) images

3. Danish Institute of Agricultural Sciences Henning T. Søgaard Dept of Agricultural Engineering Email: HenningT.Sogaard@agrsci.dk Potential Methods 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) Reported methods include recognition of

4. Danish Institute of Agricultural Sciences Henning T. Søgaard Dept of Agricultural Engineering Email: HenningT.Sogaard@agrsci.dk Representation of the Contour by a Fourier Series Colour photo of cornflower at cotyledon stage Contour and Fourier approx.

5. Danish Institute of Agricultural Sciences Henning T. Søgaard Dept of Agricultural Engineering Email: HenningT.Sogaard@agrsci.dk 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. Danish Institute of Agricultural Sciences Henning T. Søgaard Dept of Agricultural Engineering Email: HenningT.Sogaard@agrsci.dk We are open to new ideas!