High-precision forest pine wood nematode disease intelligent identification method

The invention provides a high-precision forest pine wood nematode disease intelligent identification method. The method comprises the following steps: S1, acquiring image data to be identified; and S2, identifying the to-be-identified image data acquired in the step S1, and judging whether nematode...

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Hauptverfasser: WANG XIANGHONG, WANG BINXIN, DANG YUTING, WANG RONG, YU DINGYAN, GONG QIUYUE, ZHANG XUEQIN, WANG BAOZHEN, WANG QIN, ZHU JINSHAN, ZHANG XI, SONG LIUYANG
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention provides a high-precision forest pine wood nematode disease intelligent identification method. The method comprises the following steps: S1, acquiring image data to be identified; and S2, identifying the to-be-identified image data acquired in the step S1, and judging whether nematode diseases exist in the to-be-identified image data or not. According to the invention, nematode disease identification can be carried out on forest pine tree images collected by the unmanned aerial vehicle, and a protection measure of early discovery and early elimination is realized. 本发明提出了一种高精度森林松材线虫病害智能识别方法,包括以下步骤:S1,获取待识别的图像数据;S2,对步骤S1中获取的待识别的图像数据进行识别,判断待识别的图像数据中是否存在线虫病害。本发明能够针对无人机采集的森林松树图像进行识别线虫病害,实现"早发现、早除治"的防护措施。