Aktivitet: Foredrag og mundtlige bidrag › Foredrag og præsentationer i privat eller offentlig virksomhed
Images from Unmanned Aerial Vehicles can provide information about the weed distribution in ﬁelds. A direct way is to quantify the amount of vegetation present in diﬀerent areas of the ﬁeld. The limitation of this approach is that it includes both crops and weeds in the reported num- bers. To get a better understanding of the weed distribution, some way of discriminating between crop and weed plants are required. The approach used is based on the placement of certain crop plants into parallel crop rows with a relative large distance between adjacent crop rows. Plants outside the crop rows are considered weeds. We have used a Sugar beet ﬁeld as a case for evaluating the proposed crop detection method. The suggested image processing consists of: 1) locating vegetation regions in the image by thresholding the excess green image derived from the orig- inal image, 2) calculate the Hough transform of the segmented image 3) determine the dominating crop row direction by analysing output from the Hough transform and 4) use the found crop row direction to locate crop rows.
24. nov. 2014
AGROMEK and NJF Joint Seminar on Future Arable Farming and Agricultural Engineering: Future arable farming and agricultural engineering.