Crop plant water stress phenotype detection method based on image processing

An image processing and detection method technology, applied in the field of agricultural information, can solve problems such as insufficient automation, inability to accurately reflect the interaction between crops and the environment, and inability to accurately perceive and monitor subtle changes in crops, and achieve the effect of accurate perception and monitoring.

Inactive Publication Date: 2016-11-09
BEIJING RES CENT FOR INFORMATION TECH & AGRI
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Problems solved by technology

Image-based plant phenotype detection can directly reflect the morphological characteristics of objects, has the characteristics of non-invasive and high-throughput, and has been gradually applied to plant phenotype analysis. However, the current plant phenotype

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  • Crop plant water stress phenotype detection method based on image processing
  • Crop plant water stress phenotype detection method based on image processing
  • Crop plant water stress phenotype detection method based on image processing

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Embodiment Construction

[0029] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and embodiments. The following examples are intended to illustrate the present invention, but not to limit the scope of the present invention.

[0030] see figure 1 , figure 1 It is a flow chart of a method for detecting water stress phenotypes of crop plants based on image processing provided by the embodiment of the present invention, including:

[0031] S1: segment the image of crops into plant patterns and background patterns;

[0032] S2: segment the plant pattern to obtain a stem pattern and a leaf pattern;

[0033] S3: Refine the stalk pattern into a stalk straight line, refine the leaf pattern into a leaf curve, mark the intersection of the stalk straight line and the leaf curve as the position point O, and select the position point S on the stalk straight line , select the position point P on the blade curve 1 and the loca...

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Abstract

The invention provides a crop plant water stress phenotype detection method based on image processing. The method comprises steps: S1, the crop image is segmented into a plant pattern and a background pattern; S2, the plant pattern is segmented to obtain a stem pattern and a leaf pattern; S3, the stem pattern is thinned to be a stem straight line, the leaf pattern is thinned to be a leaf curve, the value of an included angle SOP1 formed by the straight line OS and the straight line OP1 is calculated and the value of an included angle SOP2 formed by the straight line OS and the straight line OP2 is calculated; and S4, the ratio of the value of the included angle SOP1 to the value of the included angle SOP2 is calculated, and based on the ratio, changes of the leaf of the crop in the case of water stress are estimated. According to the crop plant water stress phenotype detection method based on image processing, tiny changes of the crop can be precisely sensed and monitored, and the interaction relationship between the crop and the environment can be precisely reflected.

Description

technical field [0001] The invention relates to the technical field of agricultural information, in particular to a method for detecting water stress phenotypes of crop plants based on image processing. Background technique [0002] Plant phenotype is defined as all measurable external manifestations of organisms such as shape, structure, size, color, etc. determined by plant genotype and its environment. Phenotypes are all or part of the identifiable characteristics and traits that result from the interaction of a genotype with the environment. Research from functional genomics to crop cultivation physiology at all levels involves the identification and analysis of various plant characteristics and traits, that is, phenotypes, as well as the monitoring and control of complex plant growth environments. Image-based plant phenotype detection can directly reflect the morphological characteristics of objects, and has the characteristics of non-invasive and high-throughput, and ...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/30188
Inventor 王传宇郭新宇杜建军温维亮吴升
Owner BEIJING RES CENT FOR INFORMATION TECH & AGRI
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