Research On The Comprehensive Analysis Of The Quality Of Wheat Based On The Physiological And Biochemical Indexes

Wheat is a high-volume cereal in China and one of the world's vital food crops.Its safe storage and quality affect the development of the national economy and the residents living standards.An accurate and reliable index analysis method and a comprehensive quality evaluation are topics that need further research.The difficulty of measuring multiple physiological and biochemical indexes of wheat is different,the unit,magnitude,and physical meaning of each index are obviously discrepant.There is a complex correlation between multiple indexes of wheat,the degree of influence on the overall quality is not precise.Therefore,for wheat with diverse precision requirements,different data sizes,and unclear quality,the established model should have distinct pertinence.Based on these,this paper has carried out the following research on the index analysis and quality evaluation of wheat.(1)Research on prediction model of wheat indexTo quickly obtain some wheat indexes that are difficult to measure,the subject proposes a regression model that comprehensively predicts and analyzes multiple indexes.According to the changing trend and variance of multi-index,abnormal data can be eliminated by pretreatment.Combined with the European correlation coefficient among multiple indexes,the prediction model is established based on the partial least squares algorithm,and the task of using easy-to-measure indexes to predict the difficult indexes is completed.(2)Comprehensive grading of multiple indexes of wheatTo reasonably classify the wheat data with the unknown quality or variety,under the condition of insufficient prior knowledge,a multi-index comprehensive grading algorithm is proposed in this paper.Firstly,according to the distribution characteristics and extreme values of each index data,the data set is divided into four evaluation intervals: excellent,good,medium and poor.The four evaluation categories are used to represent the specific index values,respectively.Based on the different combinations of evaluation categories,four classification models of wheat can be constructed,respectively.(3)Evaluation of wheat quality by fuzzy comprehensive analysisIn order to reduce the error caused by single factor decision and multi-factor set fusion,obtain the accurate and efficient wheat quality evaluation results.In this paper,the multi-physiological and biochemical index factor set of wheat was constructed,the evaluation method of fuzzy mathematics was adopted.Then the standard deviation of each factor set is analyzed and calculated,the weight coefficient is obtained,and the fuzzy comprehensive evaluation model of wheat quality can be established by combining the degree of deterioration and membership function.Finally,the evaluation results of wheat quality can be obtained accurately and efficiently according to the principle of maximum membership degree.(4)Classification of wheat based on index analysis and Fisher criterionWheat indexes have significant differences in the assessment of their storage quality,and the degree of impact on overall quality is also different.In order to improve the accuracy of wheat processing analysis,the paper proposed a wheat evaluation classification method based on index analysis and Fisher criterion.Through the Euclidean distance and sensitivity analysis between indexes,the representative indexes were selected.Then,based on the system clustering results of the single index,the Fisher classification function can be trained by synthesizing the multi-index data.So the evaluation and classification can be carried out by calculating the multi-index discrimination value of the wheat.