Plant growth management and control model construction method, electronic equipment and storage medium

A technology for plant growth and construction methods, applied in the field of plant growth control, can solve problems such as strong subjectivity, environmental pollution, and lack of differentiated treatment models.

Pending Publication Date: 2021-09-07
SOUTH CHINA AGRI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Traditional crop management adopts extensive operations and lacks differentiated treatment models, which leads to unstable crop quality and yield, waste of resources, environmental pollution, and even in some areas, due to inadequate control of diseases and insect pests, the yield has failed, and there is a lack of precise plant planting. Control
Chinese Patent Publication No. CN112179414A, date of publication is January 5, 2021. The patent discloses a crop growth IoT monitoring system, including a crop information collection system, an environmental information collection system, and an IoT monitoring system. The crop information collection system includes multiple A crop information collection station and UAV remote

Method used

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  • Plant growth management and control model construction method, electronic equipment and storage medium
  • Plant growth management and control model construction method, electronic equipment and storage medium
  • Plant growth management and control model construction method, electronic equipment and storage medium

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Embodiment 1

[0035] Such as figure 1 Shown is an embodiment of a method for building a plant growth control model of the present invention, a method for building a plant growth control model. include:

[0036] Obtain the visible light image data of the plant, perform image clipping and labeling on the visible light image data as the training set and verification set, input the training set and verification set into the visible light data processing model, and complete the training and verification;

[0037] Obtain the multispectral image data of plants, perform data splicing and preprocessing on the multispectral image data, and then perform image segmentation and labeling on the multispectral image data, input the segmented and labeled multispectral image data into the multispectral data processing model, and Complete training and validation;

[0038]Obtain the planting knowledge of plants and the environmental data in the field, input them into the visible light data processing model a...

Embodiment 2

[0043] This embodiment is similar to Embodiment 1, the difference is that the main control object in this embodiment is the new shoot of the plant, and the construction method of the plant growth new shoot control model is as follows: figure 2 shown. Visible light image data is collected by the camera components set up in the field to collect visible light images of the growth of new shoots of plants. The multispectral image data is collected by the multispectral camera mounted on the drone. The multispectral camera follows the drone in the air. Acquire multispectral images of shoot growth on top of plants.

[0044] The visible light image data is clipped and marked, and the data set is divided according to the ratio of 8:2 to construct a training set and a verification set. Perform verification to adjust the parameters of the visible light data processing model.

[0045] Splicing the data of new shoots from the multispectral image data, after image segmentation and labelin...

Embodiment 3

[0047] This embodiment is similar to Embodiment 2, the difference is that the main control object in this embodiment is the flower of the plant, and the construction method of the plant growth and flower control model is as follows: Figure 4 shown. Visible light image data is collected by camera components set up in the field to collect visible light images of the growth of plants and flowers. Multispectral image data is collected by the multispectral camera mounted on the drone. The multispectral camera follows the drone flying in the air and collects A multispectral image of flower growth on top of a plant.

[0048] Cut and label the visible light image data, divide the data set according to the ratio of 8:2, construct the training set and the verification set, input the training set into the visible light data processing model for training, so that it can recognize flowers, and perform the verification set on it. Validation tunes the parameters of the visible light data p...

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Abstract

The invention provides a plant growth management and control model construction method, electronic equipment and a storage medium. The method comprises the following steps: acquiring visible light image data and multispectral image data, processing the visible light image data and the multispectral image data, and respectively inputting the data into a visible light data processing model and a multispectral data processing model; training the two data processing models, so that the plant growth condition can be identified; judging the plant growth condition in combination with the planting knowledge of the plant and the environmental data, matching a decision instruction of the corresponding plant control operation, forming a plant growth control initial model, and verifying and improving the plant growth control initial model to form a plant growth control model. Collected information can be processed and combined with planting knowledge of plants, a specific decision instruction is sent out according to environmental data, a crop operator operates according to the decision instruction, precisely controls the plants and achieves refined operation according to needs, labor cost is reduced, resource waste and environmental pollution are reduced, and meanwhile, high yield is realized.

Description

technical field [0001] The present invention relates to the technical field of plant growth control, and more specifically, to a method for constructing a plant growth control model, electronic equipment, and a storage medium. Background technique [0002] The factors of crop yield and quality are complex and diverse, and present dynamic changes over time. Factors such as temperature, light, moisture and topography and soil in the growth environment are the basic factors that affect the yield and quality of crops; during the growth of crops, reasonable operation control such as pest control, fertilization and pesticide application, new shoot control, flower preservation and fruit preservation Technical measures such as pruning, shaping and pruning are the key to improving crop quality and high yield. [0003] Traditional crop management adopts extensive operations and lacks differentiated treatment models, which leads to unstable crop quality and yield, waste of resources, ...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06T7/10
CPCG06T7/10G06T2207/10036G06T2207/30188G06F18/241
Inventor 邓小玲王天伟兰玉彬林韶明
Owner SOUTH CHINA AGRI UNIV
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