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A Method of Pre-warning Potato Germination Defects Using Feature Point Tangent Line Angle

A tangent angle, potato technology, applied in the measurement of color/spectral characteristics, etc., can solve problems such as prediction of potato germination time, and achieve the effect of reducing loss and improving detection efficiency

Active Publication Date: 2017-12-26
ZHEJIANG UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

However, this method of germination detection, which relies on the color characteristics of the potato surface, cannot be used to predict the time of potato germination.

Method used

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  • A Method of Pre-warning Potato Germination Defects Using Feature Point Tangent Line Angle
  • A Method of Pre-warning Potato Germination Defects Using Feature Point Tangent Line Angle
  • A Method of Pre-warning Potato Germination Defects Using Feature Point Tangent Line Angle

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Embodiment Construction

[0051] The present invention will be further described below in conjunction with drawings and embodiments.

[0052] Embodiments of the present invention are as follows:

[0053] Such as figure 1 As shown, first, fix the potatoes on black cardboard ( figure 2 shown), placed at room temperature, stored in shading, and its hyperspectral images were collected every day. Debug the hyperspectral imaging system, match its object distance, light intensity, camera exposure time, scanning area, scanning speed and other parameters, and scan the potato hyperspectral image based on the ability to collect clear and undistorted images. Record the bud eye condition until germination. Record the number of days from the start of hyperspectral image collection to germination of potatoes as the warning time, select the sprouting part of the potato as the region of interest, extract its spectral data, and classify the spectral data according to the different days of the warning time. Extract ...

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Abstract

The invention discloses a method for early warning of potato germination defects by utilizing the included angle of tangent line of feature points. Collect the hyperspectral images of multiple samples of potatoes under the same conditions, record the warning time, select the area of ​​interest of the potato, classify the spectral data according to the different days of the warning time, intercept the spectral data after mean filtering, and construct the spectral fitting function, Derivation is obtained to obtain the first-order derivative diagram, and the cosine value of the angle formed by the minimum value point, the maximum value point and the tangent intersection point is used as the eigenvalue, and the discriminant analysis is performed to obtain the discriminant coefficient and discriminant constant. Repeat the above steps for the measured potato to obtain Corresponding eigenvalues, and its discriminant analysis to obtain early warning results, to achieve early warning of potato germination. The invention utilizes two wave bands to realize early warning of potato germination, improves detection efficiency, and reduces losses caused by potato germination in the circulation process.

Description

technical field [0001] The invention relates to a method for detecting defects of fruits and vegetables, in particular to a method for early warning of potato germination defects by using the angle between tangent lines of feature points. Background technique [0002] Potatoes, as one of the four major food crops in the world, are widely grown all over the world. The nutritional value of potatoes is extremely high, and it has the reputation of "the second bread" and "underground apple" abroad. Most of the nutrients contained in food, vegetables, and fruits are basically found in potatoes. At the same time, potatoes are suitable for planting in a wide range of areas, with low requirements for soil moisture and fertility, and great potential for increasing production. Experts from the Food and Agriculture Organization of the United Nations have identified them as food crops that can save human beings in the future when there is a food crisis in the world. [0003] During the ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/25
Inventor 饶秀勤李琪玮许济海应义斌
Owner ZHEJIANG UNIV