A method and system for non-destructive detection of fatty acid content in rice
A non-destructive testing and fatty acid technology, applied in the measurement of color/spectral characteristics, etc., can solve the problems of high data dimension, time-consuming modeling, multiple redundant data, etc., to ensure the difference and representativeness, and shorten the testing time. , the effect of good prediction accuracy
Active Publication Date: 2018-06-29
CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY
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[0005] The spectral curve in the hyperspectral image has extremely high spectral resolution, and the data dimension is high. If the full spectral band is used as the input variable to establish the prediction model of rice fatty acid content, the model will have more redundancy due to the collinearity of the input variables. data, which consumes a lot of modeling time
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[0042] Select non-mildew, non-germinated indica rice with a thousand-grain weight of 23.32g and place it in 200 sample dishes for individual numbering. Each sample dish contains 100g of net load, and 50 sample dishes are in accordance with grain storage requirements (temperature 10°C, humidity 15%) into the constant temperature and humidity box A for storage; then, the remaining 150 sample dishes are placed in the constant temperature and humidity box B according to the suitable conditions for the growth of rice mold (temperature 30 ° C, humidity 90%) to cultivate, the above mold According to the relationship between physical and chemical properties and time changes in the rice storage process, the preparation process of modified rice was divided into 3 cycles, each time cycle was about 10 days, and the results of different mildew stages (initial, middle, and late stages) were obtained. 50 servings of rice each.
[0043] At room temperature, the Hypersis agricultural product h...
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The invention discloses a method and system for non-destructive detection of fatty acid content in rice. Indica rice with no mildew, no germination and 1,000-grain weight of 23.32 g is placed in a constant temperature and humidity box for mold cultivation, and rice samples at different mildew periods are prepared; The reflectance of rice samples corresponding to wavelengths of 392, 404, 430, 442, 619, 636, 870, 885 and 899nm light waves were collected respectively; each reflectance was substituted into the prediction model of rice fatty acid content. The SPXY-SPA-MLR model constructed based on the reflectivity of the characteristic spectral bands of the present invention can quickly and non-destructively detect the fatty acid content in rice, greatly shortening the detection time and reducing the detection cost.
Description
technical field [0001] The invention relates to the field of rice quality detection, in particular to a method and system for non-destructive detection of fatty acid content in rice. Background technique [0002] Rice is one of the main grain crops in my country, and most of its main production areas and reserve areas are concentrated in the south of the Yangtze River. The climate in this region has the characteristics of high humidity all year round, short winters, long and hot summers, which provide suitable growth conditions for mold reproduction. Rice is rich in starch, protein, carbohydrates and other components, which are easily polluted by mold, causing mildew and deterioration, and producing substances that are poisonous to the human body. The research results show that the process of rice mildew is essentially a biochemical reaction in which microorganisms use rice as a nutrient matrix to digest, absorb and utilize material metabolism and energy metabolism. Accumu...
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IPC IPC(8): G01N21/25
Inventor 文韬郭鑫马强赵兵张仟仟刘付
Owner CENTRAL SOUTH UNIVERSITY OF FORESTRY AND TECHNOLOGY