Tobacco maturity detection method and device

A technology of tobacco leaf maturity and detection method, which is applied in the direction of measuring device, color/spectral characteristic measurement, and material analysis through optical means, which can solve the problems of lack of accuracy of judgment, lack of practicability, and inability to judge the maturity of tobacco leaves in real time, etc. , to achieve intuitive judgment, reduce the impact on the model, and improve the accuracy

CN102323221BInactive Publication Date: 2013-03-13HENAN AGRICULTURAL UNIVERSITY
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2013-03-13
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention relates to a tobacco maturity detection method and device. The tobacco maturity detection method comprises the steps of: acquiring an image of tobacco to be detected by an image acquiring unit, processing the image to establish or convert into an image with an HSV (Hue Saturation Value) color mode, obtaining an H color component value and an S color component value of the image; and figuring the maturity grade MD of the tobacco to be detected according to a given mathematical model. The tobacco maturity detection method and device are used for judging the maturity of the tobacco through the acquired tobacco image, and have the advantage of field rapid, site and living nondestructive detection to ensure visual and quantitative judgment of the maturity of the tobacco and strong operability, and are beneficial to proper harvesting and improving of homogeneity and tobacco quality of initially baked tobacco. In the method, model parameters are judged by using the H color component value and the S color component value in an image HSV color model without the V color component value, therefore, the influence of the value of the image to the establishment of the model is eliminated.
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Description

technical field

[0001] The invention relates to the technical field of tobacco planting and processing, in particular to a tobacco leaf maturity detection method and detection device. Background technique

[0002] The maturity of tobacco leaves is the first element to measure the quality of tobacco leaves, the core of tobacco leaf quality, and is closely related to the color, aroma and taste of tobacco leaves. According to the research and production practice, the internal chemical components of tobacco leaves with good maturity are coordinated, the aroma quality is good, and the aroma is sufficient. From the perspective of roasting, tobacco leaves with good maturity are easy to roast, and after roasting, the proportion of medium-to-medium tobacco is high, and the planting benefits are also good. In fact, the purpose of mature harvesting is to ensure and improve the internal quality and appearance grade quality of tobacco leaves, so as to produce more high-quality tobacco a...

Examples

Embodiment 1

[0032] Embodiment 1 A kind of tobacco leaf maturity detection method, the steps are as follows:

[0033] (1) Observe and record the phyllotaxy (phyllotaxy) of the tobacco leaves to be tested, reflecting the planting position of the leaves;

[0034] (2) Obtain the JPG format image of the tobacco leaves to be detected with the camera, process the image to establish an image in HSV color mode, and obtain the H and S color component values ​​of the image (can be input into the computer to obtain through MATLAB software);

[0035] (3) Divide the maturity grade MD of the tobacco leaves to be tested according to the following formula,

[0036]

[0037]

[0038] In the formula, MD-maturity grade, H / S-ratio of H to S in the HSV color model of tobacco leaf image, f-coefficient, PHY-bottom-to-top phyllotaxy of harvestable tobacco leaves (phvllolaxy).

Embodiment 2

[0039] Example 2 Correlation verification with colorimetric identification method

[0040] In 2006, K 326 tobacco leaves were collected in the Science and Education Park of Henan Agricultural University, and 50 tobacco leaf samples were collected. The grades were determined by experienced technicians according to the colorimetric identification method, and the maturity grades M0-M4 were collected (see Table 1 for grade classification) Each sample was 10; images were taken of these tobacco leaves at the same time, and the method described in Example 1 was used to determine its maturity. The results obtained by the two methods are shown in Table 2. Then, the correlation test was carried out between the maturity level calculated by the model and the level judged by the colorimetric identification method, and the results were as follows: figure 1 shown.

[0041] Table 1 Tobacco leaf maturity classification standard

[0042] maturity level mature features Leaf (M...

Embodiment 3

[0045] Example 3 Correlation Verification with Chemical Composition Analysis

[0046] In 2007, 80 tobacco leaf samples were randomly collected from the K 326 tobacco leaves collected in the Science and Education Park of Henan Agricultural University, and their grades were determined using the tobacco leaf chemical composition analysis method; at the same time, images were taken of these tobacco leaves, and the method described in Example 1 was used to determine The maturity, the results obtained by the two methods are shown in Table 3. Then the maturity grade determined by the inventive method and the grade judged by tobacco leaf chemical composition analysis method are carried out correlation test, and its result is as follows figure 2 shown.

[0047] Table 3 Chemical composition analysis method of the present invention determines the comparison of maturity grade results

[0048]