灰色关联在土壤养分分级上的应用

来源 :计算机农业应用 | 被引量 : 0次 | 上传用户:zhiyin1976
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土壤肥力是土壤持久稳定地供应植物对水分,养分要求的能力。因此土壤中养分的丰缺对土壤肥力产生直接影响,进而影响到作物生产力。土壤养分包括了植物生长所必需的土壤中所有营养元素,因此单一的营养指标难以评判土壤养分的丰缺,这就需要多个指标才能综合评判土壤养分的丰缺状况。近年来,有人曾用主成分分析、聚类分析等方法对土壤分类进行了尝试,这无疑对土壤分类的数值化、标准化起到了推动作用,然而对于农业生产的实际应用,这些方法就显得复杂、难以掌握。本文以农业生产实际应用为宗旨,用邓聚龙灰色关联分析法对土壤养分进行等级判别,综合评价土壤养分的丰缺。即根据当地实际情况和以往经验,将已有的信息分成若干组(等级),并将新收集的信息经关联分析,判其归属。如此得来的结果简单、明了,具有实用价值。 Soil fertility is the ability of the soil to supply plants with long-term and steady water and nutrient requirements. Therefore, the abundance of nutrients in the soil has a direct impact on soil fertility, which in turn affects crop productivity. Soil nutrients include all nutrients in the soil necessary for plant growth. Therefore, it is difficult to judge the abundance of soil nutrients by a single nutrition index, which requires multiple indicators to comprehensively evaluate the abundance and shortage of soil nutrients. In recent years, some attempts have been made to classify soil by using the methods of principal component analysis and cluster analysis, which undoubtedly promoted the numericalization and standardization of soil classification. However, these methods are complex for the practical application of agricultural production Difficult to grasp. In this paper, the purpose of practical application of agricultural production for the purpose of using Deng Jialong gray correlation analysis of soil nutrient grade discrimination, comprehensive evaluation of the abundance of soil nutrients. That is, according to local conditions and past experience, the existing information is divided into several groups (levels), and the newly collected information is analyzed and adjudicated. The results so simple, clear, with practical value.
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