A pine wilt tree detection and positioning method based on deep learning
A technology of pine wood nematode disease and deep learning is applied in the field of detection and positioning of dead trees of pine wood nematode disease based on deep learning, which can solve the problems of low efficiency, waste of manpower and material resources, etc. Effect
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[0024] The present invention will be further described below in conjunction with the examples and drawings, but the embodiments of the present invention are not limited thereto.
[0025] see figure 1 , the method for detecting and locating dead trees with pine wood nematode disease based on deep learning of the present embodiment comprises the following steps:
[0026] (1) Collection, preprocessing and labeling of training samples. Use an aerial photography drone equipped with a visible light camera to go to a pine forest known to have dead trees of pine wood nematode disease to take high-altitude shooting to collect sample images of pine wood nematode disease, and perform preprocessing such as denoising, splicing, and cutting on the captured sample images (Existing matlab and python tools can be used specifically), and the size of the sample image is normalized to 224mm × 224mm × 3mm to form a training sample; the training samples that have been collected and preprocessed ar...
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