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Method and device for judging tomato growth model

A technology of growth model and judgment method, which is applied in character and pattern recognition, instrument, calculation, etc., can solve the problem of complex judgment process of tomato growth model, achieve accurate and efficient classification, and increase the number of effects

Active Publication Date: 2020-09-15
CHINA AGRI UNIV
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  • Abstract
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Problems solved by technology

[0004] The present invention provides a tomato growth model determination method and device in order to solve the defect that the tomato growth model determination process is complicated

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  • Method and device for judging tomato growth model
  • Method and device for judging tomato growth model
  • Method and device for judging tomato growth model

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Embodiment Construction

[0038] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are the Invent a modular embodiment, not an entire embodiment. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0039] figure 1 It is a schematic flow chart of the tomato growth model determination method provided according to the embodiment of the present invention, referring to figure 1 , the method includes:

[0040] Step 101, obtaining images to be classified of tomatoes;

[0041] Specifically, in this example, several tomatoes were placed in tomato medium 6. f...

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Abstract

The present invention provides a tomato growth model determination method and device, the method comprising acquiring images to be classified of tomatoes; inputting the images to be classified into a deep convolutional neural network model, and outputting the growth model category corresponding to tomatoes; the deep convolutional neural network model is Obtained after training based on tomato sample images and their corresponding growth model categories. The tomato growth model judging method and device provided by the present invention obtain the image to be classified of the tomato, input the image to be classified into the deep convolutional neural network model, and output the growth model category corresponding to the tomato. The invention adopts the deep convolutional neural network based on machine learning and deep learning to classify the images to obtain the growth model category corresponding to the tomato. While increasing the number of training samples, the classification is more accurate and efficient.

Description

technical field [0001] The invention relates to the technical field of tomato planting, and more specifically, to a tomato growth model determination method and device. Background technique [0002] Tomatoes are vegetables grown in greenhouses. The growth and development of tomatoes mainly depends on a large amount of water and fertilizer input to increase production. Unreasonable irrigation and fertilization not only cause waste of water resources and fertilizers, but also lead to high incidence of tomato disease, decline in quality, and soil nitrate leaching. , the lack of trace elements and environmental pollution. Reasonable use of water and fertilizer content is particularly important in the cultivation process of tomato, which can efficiently cultivate high-yield and high-quality tomatoes. [0003] During the growth process of tomatoes, different growth periods and different growth models present a variety of shapes, rich color changes, serious overlapping and occlusi...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
CPCG06F18/2413
Inventor 郑丽敏郑瑾
Owner CHINA AGRI UNIV