基于图像处理和回归分析的土壤pH参数估计

Q3 Engineering

西安建筑科技大学学报(自然科学版) Pub Date : 2020-08-15 DOI:10.37896/jxat12.08/2742

A. Vibhute

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引用次数: 1

摘要

-土壤pH值是影响土壤养分的一个重要参数，有助于决定作物和肥料管理。经典方法是经过验证的方法，有其自身的局限性，如传感器和仪表校准。与传统方法相比，基于图像处理的估计等替代解决方案提供了可靠和一致的结果。在本文中，使用精细土壤的彩色图像来发展颜色分量的相关性或利用颜色分量导出的指数。已经观察到，所提出的指数asv pH指数值给出了与实际pH值更好的相关系数0.76。通过曲线拟合得到的回归方程的R平方为0.6。将土壤分类为酸性、中性或碱性是有效的，并且发现是准确的。总体测试样本误差为3.99%，位于所需跨度之间。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Soil pH parameter Estimation Using Image Processing and Regression Analysis

- Soil pH is an important parameter which affects nutrients in soil and is helpful in deciding crop as well as fertilizer management. The classical methods are proven methods and have their own limitations like sensor and calibration of meters. The alternate solutions such as image processing based estimation give reliable and consistent results than traditional methods. In proposed paper, color images of fined soil are used to develop the correlation of color components or index derived o using color components. It has been observed that the proposed index asv pH index value gives better correlation coefficient of 0.76 with actual pH values. The regression equation obtained by curve fitting gives R-square of 0.6. The soil classification as acidic, neutral or basic is done effectively and found to be accurate. The overall test sample error is 3.99 percent with lies between the desired span.

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来源期刊

西安建筑科技大学学报(自然科学版) Engineering-Architecture

CiteScore

0.70

自引率

0.00%

发文量

4841

期刊介绍： Journal of Xi'an University of Architecture and Technology (Natural Science Edition) is referred to as the Natural Science Edition. It is publicly distributed at home and abroad, bimonthly, ISSN1006-7930, CN61-1295/TU. Founded in February 1957, it is a comprehensive academic journal focusing on academic papers on basic research and applied research in related disciplines such as architecture and civil engineering. The Natural Science Edition is one of the top 100 scientific and technological journals of Chinese universities and a high-quality journal of Shaanxi universities. It is a Chinese core journal (Peking University core), a Chinese science and technology core journal, a T2 journal in the classification catalog of high-quality scientific and technological journals in the field of architectural science, and an authoritative academic journal in China by the China Center for Science Evaluation (RCCSE).