A Potato Germination Early Warning Method Based on Sine Function Fitting Method
A sine function and potato technology, which is applied in the field of potato germination warning based on sine function fitting method, can solve the problems of potato germination time prediction and achieve the effect of reducing losses
Active Publication Date: 2018-03-16
ZHEJIANG UNIV
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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.
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[0040] The present invention will be further described below in conjunction with drawings and embodiments.
[0041] Embodiments of the present invention are as follows:
[0042] 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. The number of days from the start of hyperspectral image collection to germination of potatoes was recorded as the early warning time, and the early warning time of each bud eye was counted and classified. Extract the square area with a side length of 9 pixels in the bud eye, take the wavelength of 600-750nm a...
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The invention discloses a potato germination early warning method based on a sine function fitting method. 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, and construct a fitting function to analyze the spectral data separately Fitting, obtaining each fitting parameter, classifying the fitting parameters, obtaining the discriminant coefficients and discriminant constants under different categories, and then extracting effective fitting parameters from them according to the discriminant coefficients, and repeating the above steps for the tested potatoes to obtain their fitting parameters. The same fitting parameters are extracted from them, and the calculations and comparisons are carried out for Class I and Class II respectively to obtain early warning results. The invention can use the sinusoidal function to fit the spectral data, and classify the state of the potato bud eyes according to the fitting parameters, which is simple and fast, and can reduce the loss caused by the 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 based on a sine function fitting method. 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, stor...
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IPC IPC(8): G06F17/50G06K9/32G06K9/62
CPCG06F30/20G06V10/25G06F18/24
Inventor 饶秀勤李琪玮应义斌
Owner ZHEJIANG UNIV