Application of Soil Nutrient Analyzer for Spatial Analysis

Existing studies have shown that there is a certain correlation between high production quality and low soil nutrients, and there is a regularity in soil nutrient change and age in tea gardens. However, studies on the growth and adaptability of soil nutrients have not been reported. Using the soil nutrient data of Guangxi Camellia oleifera production area, using soil nutrient fastness instrument analysis and index and evaluation methods, combined with Camellia oleifera quality data to obtain the spatial distribution characteristics of Guangxi Camellia soil nutrients, as well as soil nutrient suitability evaluation results of Camellia oleifera plantation, planning for high-quality Camellia planting Provide theoretical basis.
In the spatial analysis, the soil nutrient fastness tester statistically analyzes the soil nutrient index. The coefficient of variation reflects the degree of dispersion. According to the research content of the study area and data capacity variation, there are different standards. According to the research content of this paper, the coefficient of variation is less than 0.1. Weak variability. The soil pH, organic matter, total nitrogen, available copper, and available iron content were moderately spatially correlated. The remaining indicators had poor spatial correlation. This may be caused by objective factors such as the complexity of soil parent material and topography in the Camellia oleifera production areas in Guangxi. .
According to the results of the correlation analysis of soil nutrient fastness tester, 8 soil nutrient indexes such as pH, total potassium, available potassium, exchangeable calcium, effective copper, available zinc, available boron, and effective manganese, which have a great influence on the quality of oil camellia, were selected. As an indicator of soil suitability. Because the influence of the selected nutrient index on the growth of Camellia oleifera was different, the weight of each nutrient index was calculated using the principal component analysis method according to the importance of each index.
The requirements of nutrient characteristics of Camellia oleifera and the soil nutrient fastness tester were used to determine the soil nutrient grading standard of Guangxi Camellia oleifera. Based on the grading standard, different soil nutrient indicators were assigned to the corresponding grade points. According to the index weights and rank scores, the expansibility evaluation index of Camellia oleifera soil was calculated according to the index and method, and then the soil suitability index and range of Camellia oleifera were divided according to the gradient segmentation value. The regions corresponding to the indices were the nutrient suitability of Camellia oleifera soil. Partitioning, for ease of analysis and practical application, the results are divided into the most appropriate, more appropriate and inappropriate 3 partitions

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