In this paper, citrus brown spot, huanglongbing, canker, fuliginous, cercospora sp. and healthy leaves were studied using Fourier transform infrared spectroscopy (FTIR) combined with statistical analysis. The results showed that the spectra of the samples were similar, whereas there were obvious...

Based on 10 years of statistics concerning economic development in Xi'an as the main part of Guanzhong-Tianshui Economic Zone, this article builds the main indicator system to reflect economic development. Using two mathematical methods (principal component analysis and cluster analysis), we...

By using climate data in national stations in Xiji County, Ningxia during 1981 and 2020, a regression analysis was carried out on weather data in crop growth season in three automatic weather stations in Hulu River Valley. The results showed that celery belts of Hulu River Valley was divided...

From the perspective of economic growth, agricultural development, the development of township enterprises and farmers' income, we select 11 indicators to build the evaluation indicator system for the agricultural economic development in the districts and counties of Qingyang City. Using data...

17 indices are selected, such as the growth rate of total regional output value, the proportion of tertiary industry in GDP, per capita financial expenditure, and soil erosion rate of Guizhou Province in 2009. According to the relevant indices data of statistical yearbook and governmental...

According to the 2010 China Statistical Yearbook, a total of 12 indicators in the aspects of residents’ production, consumption expenditure, and living conditions are selected in order to construct the indicator system of rural development level. Both factor analysis and cluster analysis...

Taking China Rural Statistical Yearbook in 2008 as the data source, we select 10 indices scientifically and rationally. By using SPSS statistical software, factor analysis method and cluster analysis method in multivariate statistical analysis, we conduct analysis on the level of rural economic...

In order to rank and cluster the economic status of rural residents in 31 provinces, cities and autonomous regions, the MATLAB software is used and the component analysis and the cluster analysis are conducted on the data reflecting the economic status of each area. The results show that the...

According to availability of rural data, and the actual situation of economic development in different areas, 1 first grade index, 2 grade indices and 20 third grade indices are selected to establish the measurement index system of circular economic development level in rural areas. According to...

We summarize the status of rural areas in China, and introduce the principle of Cluster Analysis. According to related statistical data, per capita net income of rural households in various regions of China is analyzed by adopting the method of Cluster Analysis. The results showed that 31...