Early Pest Detection in Greenhouses
نویسندگان
چکیده
We promote in situ early pest detection in greenhouses based on video analysis. Our target application is the detection of bio-aggressors on plant organs such as leaves. The goal of this work is to define an innovative decision support system, which handles multi camera data and follows a generic approach to adapt to different categories of bioaggressors. This approach is non-destructive and non-invasive. It will allow producers to take rapid remedial decisions. The major issue is to reach a sufficient level of robustness for continuous surveillance. To this end, vision algorithms (segmentation, classification, tracking) must be adapted to cope with illumination changes, plant movements, or insect characteristics. The first prototype of our system is under test in a rose greenhouse equipped with five wireless video cameras. The currently implemented algorithms target the detection of white flies and aphids. We present preliminary results for insect detection on sticky traps.
منابع مشابه
JAPIEST: An integral intelligent system for the diagnosis and control of tomatoes diseases and pests in hydroponic greenhouses
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