Authors
FK Van Evert, G Polder, GWAM Van Der Heijden, C Kempenaar, LAP Lotz
Publication date
2009/4
Journal
Weed Research
Volume
49
Issue
2
Pages
164-174
Publisher
Blackwell Publishing Ltd
Description
van Evert FK, Polder G, van der Heijden GWAM, Kempenaar C & Lotz LAP (2009). Real‐time vision‐based detection of Rumex obtusifolius in grassland. Weed Research49, 164–174.
Summary
Rumex obtusifolius is a common grassland weed that is hard to control in a non‐chemical way. The objective of our research was to automate the detection of R. obtusifolius as a step towards fully automated mechanical control of the weed. We have developed a vision‐based system that uses textural analysis to detect R. obtusifolius against a grass background. Image sections are classified as grass or weed using 2‐D Fourier analysis. We conducted two experiments. In the first (laboratory) experiment, we collected 28 images containing R. obtusifolius and 28 images containing only grass. Between 23 and 25 of 28 images were correctly classified (82–89%) as showing R. obtusifolius; all grass images were correctly …
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