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Quantification and Yield Correlation Analysis Method of Crop Growth Phenotype Parameters Based on Vision

A correlation analysis and crop technology, applied in the agricultural field, can solve the problems of few analysis parameters, failure to meet the requirements of automation, and the analysis of corn plant height and width stays in manual measurement, etc., to achieve the effect of improving efficiency

Active Publication Date: 2021-07-30
INNER MONGOLIA UNIVERSITY
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Problems solved by technology

[0008] In terms of corn characterization parameters, the analysis of the growth and variation of the height and width of corn plants was completed by manual measurement; The analysis is still in the manual measurement stage and cannot meet the requirements of automation

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  • Quantification and Yield Correlation Analysis Method of Crop Growth Phenotype Parameters Based on Vision
  • Quantification and Yield Correlation Analysis Method of Crop Growth Phenotype Parameters Based on Vision
  • Quantification and Yield Correlation Analysis Method of Crop Growth Phenotype Parameters Based on Vision

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Embodiment Construction

[0068] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0069] The application principle of the present invention will be further described below in conjunction with the accompanying drawings.

[0070] Such as figure 1 As shown, the vision-based crop growth phenotype parameter quantification and yield correlation analysis method provided by the embodiment of the present invention includes the following steps:

[0071] S101, it is proposed to embed f(p) into the GrabCut algorithm for corn image segmentation. Compared with the watershed algorithm and the mean shift algorithm, this algorithm has a more accurate segmentation effect;

[0072] S102, designing a thinning algorithm to...

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Abstract

The invention belongs to the field of agricultural technology, and discloses a vision-based method for quantifying crop growth phenotype parameters and yield correlation analysis. Through continuous breakthroughs in image processing, wireless sensors, artificial intelligence and other technologies, more insights are provided for agricultural analysis. The idea of ​​​​making traditional manual agriculture and mechanized agriculture continue to develop into modern intelligent and refined agriculture. The present invention is intelligent and refined agriculture, which is one of the important analysis topics in the field of agriculture, and is of great significance to the fields of plant virtualization, yield prediction, garden design, etc.; the analysis of characterization parameters and morphological characteristics in the growth process of crops is of great significance. Significance: On the one hand, relevant parameters of crops can be predicted, which can guide the configuration of cultivation environment; virtual plant growth technology can simulate plant growth state at any time, thereby reducing analysis time and analysis cost.

Description

technical field [0001] The invention belongs to the technical field of agriculture, and in particular relates to a vision-based method for quantifying crop growth phenotype parameters and yield correlation analysis. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] Due to the small amount of calculation and the relatively simple measurement principle, monocular measurement technology is widely used in the fields of vehicle distance measurement, drone navigation, intelligent robot navigation, etc. The most traditional method is to place a ruler next to the object to be measured, and use the actual size of the ruler to estimate the size of the object to be measured. In recent years, as the analysis of monocular measurement technology has become more and more in-depth, analysts have proposed many excellent monocular measurement methods. Wu Juncai uses multi-scale block binary mode, Adaboost algorithm and...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/60G06T7/10
CPCG06T7/60G06T2207/10004G06T2207/20152G06T7/10
Inventor 张志斌侯帅民
Owner INNER MONGOLIA UNIVERSITY
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