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Method and system for monitoring plant diseases and insect pests in growth period of industrial cannabis sativa

A technology for industrial hemp, diseases and insect pests, applied in neural learning methods, biological neural network models, image enhancement, etc., can solve the problems of lack of uniform standards, low work efficiency, plant erosion, etc., to suppress useless features and reduce network parameters Small, robust effects

Active Publication Date: 2022-05-10
黑龙江省农业科学院
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0011] The purpose of the present invention is to solve the problems of lack of unified standards, low timeliness, poor accuracy, and low work efficiency in judging whether plants are eroded during the growth cycle of industrial hemp, and what kind of pests are eroded by existing methods, and propose a method. Method and system for monitoring plant diseases and insect pests during growth period of industrial hemp

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  • Method and system for monitoring plant diseases and insect pests in growth period of industrial cannabis sativa
  • Method and system for monitoring plant diseases and insect pests in growth period of industrial cannabis sativa
  • Method and system for monitoring plant diseases and insect pests in growth period of industrial cannabis sativa

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specific Embodiment approach 1

[0024] Specific implementation mode one: the specific process of a monitoring method for plant diseases and insect pests during the growth period of industrial hemp in this implementation mode is as follows:

[0025] Step 1, collect the industrial hemp growth period image data set and the corresponding label file data set to form a sample data set;

[0026] The types of the growth period images of industrial hemp include the growth period images of industrial hemp eroded by diseases and insect pests and the growth period images of industrial hemp not eroded by diseases and insect pests;

[0027] Step 2, establishing a neural network model;

[0028] Step 3. Input the sample data set in step 1 into the established neural network model, and use the Adam algorithm for iterative optimization to obtain the optimal network model;

[0029] Step 4. Input the image data of the growth period of the industrial hemp to be tested into the optimal network model for result prediction, and ob...

specific Embodiment approach 2

[0030] Specific embodiment 2: The difference between this embodiment and specific embodiment 1 is that in the step 1, the image data set of the growth period of industrial hemp and the corresponding label file data set are collected to form a sample data set; the specific process is:

[0031] Given a hyperspectral image Z={X,Y}, where X is the set of all pixel data of the image, and Y is the set of labels corresponding to all pixels; the hyperspectral image Z={X,Y} is input into the first input layer, The input image is processed pixel by pixel and filled to get N size S∈R H×W×L the cube;

[0032] Among them, H×W is the space size of the cube, and L is the number of spectral bands.

[0033] Other steps and parameters are the same as those in Embodiment 1.

specific Embodiment approach 3

[0034] Specific embodiment three: the difference between this embodiment and specific embodiment one or two is that the neural network model is established; the specific process is:

[0035] The neural network model includes: input layer, first three-dimensional convolution layer, first batch of normalization layer BN layer, first ReLU activation layer, spatial attention block, spectral attention block, second batch of normalization layer BN layer , the second ReLU activation layer, the first Dropout, the first global maximum pooling layer, the FC fully connected layer, the Softmax function classifier and the output layer;

[0036] The connection relationship of the neural network model is:

[0037] The input layer is connected to the first three-dimensional convolutional layer, the first three-dimensional convolutional layer is connected to the first batch of normalization layer BN layer, the first batch of normalization layer BN layer is connected to the first ReLU activatio...

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Abstract

The invention relates to a method and a system for monitoring plant diseases and insect pests in the growth period of industrial hemp, in particular to a method and a system for monitoring plant diseases and insect pests in the growth period of industrial hemp. The invention aims to solve the problems of lack of unified standards, low timeliness, poor accuracy and low working efficiency in judgment of whether plants are eroded in the growth period of industrial cannabis sativa and judgment of which plant diseases and insect pests are eroded in the existing method. The method for monitoring plant diseases and insect pests in the growth period of industrial cannabis sativa comprises the following specific steps of: 1, acquiring an image data set and a corresponding label file data set in the growth period of industrial cannabis sativa to form a sample data set; 2, establishing a neural network model; 3, obtaining an optimal network model; and 4, obtaining the type of the to-be-detected industrial hemp growth period image. The pest and disease monitoring system for the industrial hemp growing period is used for executing the pest and disease monitoring method for the industrial hemp growing period. The method is used in the field of industrial hemp growth period pest monitoring.

Description

technical field [0001] The invention relates to a monitoring method and a monitoring system for plant diseases and insect pests in the growth period of industrial hemp. Background technique [0002] The industrial hemp that has been approved to be grown legally is a variety with low toxic content, and the THC value is lower than 0.3%. These industrial hemp (THC<0.3%) are considered to have no drug use value, but they are still valuable all over the body. Their applications include at least textiles, paper, food, medicine, hygiene, daily chemicals, leather, automobiles, construction, decoration, packaging, etc. field. It is a classic means of production. [0003] Due to the wide adaptability of the plant and its worldwide cultivation and ease of growth, it is generally considered that hemp has no diseases. In fact, hemp can suffer from more than 100 diseases. The main diseases of industrial hemp are hemp downy mildew, hemp brown spot and hemp black spot Diseases, the ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06N3/08G06T7/00G06K9/62G06Q50/02
CPCG06T7/0002G06N3/08G06Q50/02G06T2207/30188G06F18/214
Inventor 李国泰赵杨
Owner 黑龙江省农业科学院
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