Optimal-adaptive zone division of Chinese jujube in Tarim Basin based on Parameter Adaptive Algorithm

Abstract: 【Objective】Xinjiang has a unique advantage in light and heat resources, and the fruit in Xin-jiang has very high quality. In response to the national policy of vigorously developing the jujube indus-try, under the goal of“improving the quality and efficiency”of the jujube industry in Xinjiang, the opti-mal-adaptive zone division should be taken more into account to meet the demand for the jujube quality. The existing algorithm of optimal-adaptive zoning presents great uncertainty because the parameter values are greatly influenced by human subjectivity.【Methods】Taking 12 fruit quality indexes of Huizao jujube and Junzao jujube from 33 sampling points in 19 regions around Tarim Basin as data set, a parameter adaptive algorithm was proposed to divide the optimal-adaptive zones of Chinese jujube. The parameter adaptive principal component analysis algorithm adopted the method of constant extrac-tion and replacement to do m random sampling of n sample data sets. Due to the randomness, m data sets were different. This method can play the role in expanding the data set, avoiding the algorithm targeting only to fixed data sets. The experiment was set to select the principal components with a contri-bution rate of 50%-90% and a step size of 10% for each group of sampled data set. The ranking of the selected principal components’contribution rate was scored to obtain the principal components of group M and the scores of each group of principal components. Finally, the comprehensive score of the principal components of group M was calculated to obtain the comprehensive selection results of princi- pal components. Parameter adaptive clustering analysis algorithm was carried out to select quality index of dimension reduction after the data sampling of p, a sample data set, the K values for each group of sampling data set for 3, 4, 5, clustering analysis and calculation of each group of data similarity index,each group of data clustering results with the ideas of the undirected weighted graph clustering, and clustering adjacency matrix. Each vertex of the adjacency matrix was the sampling area, and the weight of the edge was the comprehensive similarity index of the index of the vertex area after clustering fu-sion. After that, the final result of the optimal-adaptive zone division was obtained by continuously ad-justing the threshold and screening the clustering results.【Results】The principal components of jujube were determined as follows: vitamin C (Vc), total sugar, ratio of sugar to acid, total flavonoids, total ac-id, SSC drying rate and fruit weight. The results of the optimal zone division of jujube were obtained by parameter adaptive cluster analysis algorithm. The fruits of 12, 33, 47 and 48 clusters had high content of Vc, high content of total acid and sour taste. 12 Tuan, 3 Tuan, 41 Tuan, 42 Tuan, 47 Tuan, 48 Tuan,Luopu, Yutian and Ruoqiang had large horizontal and longitudinal diameters, large single fruit and large fruit shape. In 29 Tuan, 46 Tuan, 50 Tuan, Pishan, Ruoqiang, Yutian, Zepu and Luopu, the fruit drying rate was high; the fruits of 46 Tuan, 50 Tuan, Minfeng, Qiemo and Shaya were high in Vcand total sug-ar contents and sweet in taste. The principal components of jujube were determined as follows: Vc, total sugar, ratio of sugar to acid, total flavonoids, total acid, SSC, drying rate and weight per fruit. The re-sults of optimal region division of jujube were obtained by parameter adaptive cluster analysis algo-rithm. The fruits of 224 Tuan, 29 Tuan, 41 Tuan, 46 Tuan, 47 Tuan, Yutian Tuan and Zepu Tuan had large horizontal and vertical diameters, large single fruit and large fruit shape. The fruits of 12 Tuan, 3 Tuan, Luopu, Minfeng, Pishan and Yutian were high in total sugar content, high in Vc content and sweet in taste. The fruit drying rate of the 224 Tuan, 29 Tuan, 12 Tuan, 33 Tuan, 46 Tuan and 47 Tuan was high. In the 224 Tuan, 41 Tuan, 50 Tuan, Shaya and Zepu, fruits contained high total acid. In addi-tion, the comprehensive fruit quality of Huizao jujube and Junzao jujube in some areas overlaid each other, and the fruit quality advantages of the two types of regions were also presented. The regional ad-vantages of each region were pointed out, and the classification results were comprehensive and had practical guiding significance.【Conclusion】A parameter adaptive partitioning algorithm was proposed,which solved the fluctuation of experimental results and experimental errors caused by the traditional principal component analysis algorithm and clustering algorithm due to artificial parameters, small sam-ple size and unstable clustering results. The main quality indexes of jujube were determined as total ac-id, total sugar, weight per fruit and drying rate, which provided a theoretical basis for the regional devel-opment of fine varieties of jujube in the Tarim Basin of Xinjiang.