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A Method of Predicting Potato Germination Using Characteristic Triangular Area

A potato, triangle 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: 2018-01-30
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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 Predicting Potato Germination Using Characteristic Triangular Area
  • A Method of Predicting Potato Germination Using Characteristic Triangular Area
  • A Method of Predicting Potato Germination Using Characteristic Triangular Area

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Embodiment Construction

[0052] The present invention will be further described below in conjunction with drawings and embodiments.

[0053] Embodiments of the present invention are as follows:

[0054] Such as figure 1 First, secure 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 the spe...

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Abstract

The invention discloses a method for utilizing the feature triangle area for early warning germination of potatoes. According to the method, under the same condition, hyperspectral images of the multiple sample potatoes are collected, early warning time is recorded, interest areas of the potatoes are selected, spectroscopic data are classified according to different days of the early warning time, after average filtering is carried out, the spectroscopic data are intercepted to construct spectrum fitting functions, derivation is carried out to obtain a first-order derivative image, the vertical area formed by the minimum value point, the maximum value point and the intersection point of tangents serves as a feature value, discriminant analysis is carried out to obtain a discriminant coefficient and a discriminant constant, the steps are repeated for the tested potatoes to obtain corresponding feature values, and discriminant analysis is carried out on the potatoes to obtain the early warning result. Two wave bands are utilized for early warning germination of the potatoes, use is simple and convenient, and loss caused by germination of the potatoes in the circulation process can be reduced.

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 by using the characteristic triangle area. 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 process of harvesting, st...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01N21/31
CPCG01N21/31
Inventor 饶秀勤李琪玮任梦佳应义斌
Owner ZHEJIANG UNIV