Plant nematode detection method and system based on multi-feature combination based on deep learning
A plant nematode and deep learning technology, applied in neural learning methods, biological neural network models, instruments, etc., can solve problems such as inconspicuousness, manpower limitations, and identification difficulties, and achieve high detection accuracy, high accuracy, and fast speed Effect
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Embodiment 1
[0056] like figure 1 As shown, a multi-feature combined plant nematode detection method based on deep learning, through single-point feature detection, double-point feature combined detection and three-point feature combined detection, to achieve the detection of plant nematodes (B. xylophilus and B. xylophilus). ) accurate detection. Specifically include the following steps:
[0057] Step S0, establish a plant nematode image data set;
[0058] A series of images of B. xylophilus and B. xylophilus were collected to build a plant nematode image dataset.
[0059] Step S1, using Fast-RCNN neural network to extract key features of plant nematodes, including nematode head features, female nematode tail features and male nematode tail features. like figure 2 shown, including the following steps:
[0060] S11, establishing a plant nematode image training data set;
[0061] The plant nematode image data set is divided into a pine wood nematode image group and a pine wood nemato...
Embodiment 2
[0081] A multi-feature combined plant nematode detection system based on deep learning, including:
[0082] A data set generation module to establish a plant nematode image data set including B. xylophilus images and B. xylophilus images;
[0083] The key feature extraction module uses the Fast-RCNN neural network to extract the key features of plant nematodes, including nematode head features, female nematode tail features and male nematode tail features;
[0084] The detection enhancement module is used to detect plant nematode species according to the key characteristics of plant nematodes, including a single-feature detection enhancement module for female nematode tail features, a nematode head feature and a female nematode tail feature dual-feature combined detection enhancement module, and a nematode head feature. An enhanced module for combined detection of three characteristics of characteristics and tail characteristics of female nematodes and tail characteristics of ...
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