快速和廉价的评估土壤总铁使用Nix Pro颜色传感器

IF 2.3 4区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY
Gaurav Jha, Debjani Sihi, Biswanath Dari, Harpreet Kaur, Mallika Arudi Nocco, April Ulery, Kevin Lombard
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引用次数: 9

摘要

在本研究中,使用廉价的Nix Pro (Nix Sensor Ltd.)颜色传感器来建立土壤铁(Fe)含量的预测模型。在Animas流域的5个农田中采集了38个土壤样本,建立并验证了土壤铁预测模型。我们使用颜色空间模型开发了三种不同的参数集,用于Nix Pro的Fe预测。利用不同的色彩空间集建立了Nix pro基铁含量与实验室电感耦合等离子体分析铁含量的三种新的预测模型。使用决定系数、均方根误差和模型p值来评估模型的性能。三种模型(国际照明委员会的亮度,±a轴(红到绿)和±b轴(黄到蓝)[CIEL*a*b];红、绿、蓝[RGB];青色、品红、黄色、键[黑][CMYK])在预测铁含量方面具有显著性,R2范围为0.79 ~ 0.81。计算均方预测误差(MSPE)和克林-古普塔效率指数(KGE)对模型进行验证,预测CMYK为较好的模型(MSPE = 0.13;KGE = 0.601)优于CIEL*a*b和RGB模型。结果表明,Nix Pro在预测土壤铁含量方面是有用的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Rapid and inexpensive assessment of soil total iron using Nix Pro color sensor

Rapid and inexpensive assessment of soil total iron using Nix Pro color sensor

In this study, an inexpensive Nix Pro (Nix Sensor Ltd.) color sensor was used to develop prediction models for soil iron (Fe) content. Thirty-eight soil samples were collected from five agricultural fields across the Animas watershed to develop and validate soil Fe prediction models. We used color space models to develop three different parameter sets for Fe prediction with Nix Pro. The different color space sets were used to develop three new predictive models for Nix Pro-based Fe content against the lab-based inductively coupled plasma analyzed Fe content. The model performances were assessed using the coefficient of determination, root mean square error, and model p-value. Three models (International Commission on Illumination's lightness, ±a axis (redness to greenness), and ± b axis (yellowness to blueness) [CIEL*a*b]; red, green, blue [RGB]; and cyan, magenta, yellow, key [black] [CMYK]) were significant in predicting the Fe content using colorimetric variables with R2 ranging from 0.79 to 0.81. The mean square prediction error (MSPE) and Kling–Gupta efficiency (KGE) Index were calculated to validate models and CMYK was predicted to be a better model (MSPE = 0.13; KGE = 0.601) than CIEL*a*b and RGB models. The results suggest Nix Pro is useful in predicting soil Fe content.

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来源期刊
CiteScore
3.70
自引率
3.80%
发文量
28
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