Use of color parameters in the grouping of soil samples produces more accurate predictions of soil texture and soil organic carbon

Costa, José Janderson Ferreira; Giasson, Élvio; Silva, Elisângela Benedet da; Coblinski, João Augusto; Tiecher, Tales

doi:10.1016/j.compag.2020.105710

Cited by 14 publications

(4 citation statements)

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“…In addition, the presence of organic matter and particular clay minerals also have a strong impacts on the color, both in terms of hue and intensity. 3,16 However, the presence of these elements in sufficient quantity may be indicative of rocks with particular characteristics that do have an impact on color. The methodology applied in this work is intended to demonstrate that these characteristics could be acting as proxy indicators of specific elemental concentrations.…”

Section: Discussionmentioning

confidence: 99%

How elemental composition influences the color of igneous and sedimentary rocks: Case of the High Atlas rocks of Morocco

Halim

Daoudi

Fels

2021

Color Research & Application

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In spite of color being one of the physicochemical parameters most commonly used to characterize a rock, very limited studies have studied the correlation between the nature, chemical composition, and color of a rock. This study presents a new approach for quantitatively assessing the relationship between these three parameters for specific rocks (example of igneous and sedimentary rocks) collected from the High Atlas of Morocco. A spectrophotometer was used to measure the color of samples, and the measurements were expressed in CIE L*a*b* color system units then converted to Hex color codes. Whereas, the chemical composition of samples was carried out by X-ray fluorescence.The most abundant oxides in magmatic rock samples are SiO 2 , Al 2 O 3 , Fe 2 O 3 , MgO, and CaO, while K 2 O, Na 2 O, TiO 2 , and P 2 O 5 are generally found in trace concentrations. Two categories of clays were studied, non-calcareous raw materials without carbonate contents (<4% CaO) and calcareous clays or marls (CaO > 10%). Phosphate samples are rich in phosphorus (4.4%-17.5%) and CaO (11.2%-42.7%) with relatively low contents of SiO 2 (28.5%-52.2%), Al 2 O 3 (3.1%-17.5%), and Fe 2 O 3 (1.1%-6.6%). Results show that the change in the content of these elements from one rock type to another may be indicative of rocks with particular characteristics that do have an impact on color. The main coloration agent of clays was iron, Fe 2+ , and Fe 3+ ions can color clay minerals either red or green or in various shades of orange and brown. However, in marls and phosphates, the high concentration of carbonates inhibits this iron effect by affecting a* (red) and b* (yellow) color parameters, which leads to grayish materials. The same applies to magmatic rocks rich in Fe 2 O 3 and CaO.

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Section: Discussionmentioning

confidence: 99%

How elemental composition influences the color of igneous and sedimentary rocks: Case of the High Atlas rocks of Morocco

Halim

Daoudi

Fels

2021

Color Research & Application

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“…Accordingly, the soil samples were collected at Buttery Hill ( N = 23), HF7 ( N = 24), Deaton 6 ( N = 12) and Horse Foxhole ( N = 23). Soil macronutrient quantities are known to correlate with organic matter content (Yang et al ., 2011), which in turn influences soil colour (Costa et al ., 2020). The Soil Brightness Index (SBI) as described by Mponela et al .…”

Section: Methodsmentioning

confidence: 99%

Comparison of potato (Solanum tuberosum L.) tuber size distribution fitting methods and evaluation of the relationship between soil properties and estimated distribution parameters

2021

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Accurate estimation of tuber size distribution (TSD) parameters in discretely categorized potato (Solanum tuberosum L) yield samples is desirable for estimating modal tuber sizes, which is fundamental to yield prediction. In the current work, systematic yield digs were conducted on five commercial fields (N = 119) to compare the Weibull, Gamma and Gaussian distribution functions for relative-likelihood-based goodness-of-fit to the observed discrete distributions. Parameters were estimated using maximum likelihood estimation (MLE) for the three distributions but were also derived using the percentiles approach for the Weibull distribution to compare accuracy against the MLE approaches. The relationship between TSD and soil nutrient variability was examined using the best-fitting model's parameters. The percentiles approach had lower overall relative likelihood than the MLE approaches across five locations, but had consistently lower Root Mean Square Error in the marketable tuber size range. Negative relationships were observed between the percentile-based shape parameter and the concentrations of Phosphorus and Nitrogen, with significant (non-zero-overlapping 95% confidence interval) regression coefficients for P (−0.74 ± 0.33 for distribution of proportional tuber numbers and −1.3 ± 0.62 for tuber weights). Stem density was negatively associated with the scale and mode of tuber number (regression coefficients −0.98 ± 0.63 and −1.08 ± 0.78 respectively) and tuber weight (regression coefficients −0.99 ± 0.78 and −1.04 ± 0.69 respectively) distributions. Phosphorus is negatively related to the scale of the tuber-number-based distribution while positively associating with the tuber weight distribution. The results suggest that excess P application was associated with the increase in small tubers that did not contribute significant weight to the final yield.

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“…Generally, the color of the material or product is the first parameter that consumers perceive which can be used for acceptance or rejection of the product by manufacturers and producers [ 5 , 6 ]. Therefore, color is often used for quality control in many fields, such as food industries [ 4 , 7 ], agriculture [ 8 ], dentistry [ 9 ], forensics [ 10 ], oil-based liquids [ 11 , 12 ] and water [ 13 , 14 ]. It is also undeniable that color reflects the condition, chemical content [ 15 , 16 , 17 ] and properties of materials and products [ 5 ].…”

Section: Introductionmentioning

confidence: 99%

The Amber-Colored Liquid: A Review on the Color Standards, Methods of Detection, Issues and Recommendations

Hadi

Ker

Thiviyanathan

et al. 2021

Sensors

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For most natural or naturally-derived liquid products, their color reflects on their quality and occasionally affects customer preferences. To date, there are a few subjective and objective methods for color measurement which are currently utilized by various industries. Researchers are also improving these methods and inventing new methods, as color is proven to have the ability to provide various information on the condition and quality of the liquid. However, a review on the methods, especially for amber-colored liquid, has not been conducted yet. This paper presents a comprehensive review on the subjective and objective methods for color measurement of amber-colored liquids. The pros and cons of the measurement methods, the effects of the color on customer preferences, and the international industry standards on color measurements are reviewed and discussed. In addition, this study elaborates on the issues and challenges related to the color measurement techniques as well as recommendations for future research. This review demonstrates that the existing color measurement technique can determine the color according to the standards and color scales. However, the efforts toward minimizing the complexity of the hardware while maximizing the signal processing through advanced computation are still lacking. Therefore, through this critical review, this review can hopefully intensify the efforts toward finding an optimized method or technique for color measurement of liquids and thus expedite the development of a portable device that can measure color accurately.

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Use of color parameters in the grouping of soil samples produces more accurate predictions of soil texture and soil organic carbon

Cited by 14 publications

References 82 publications

How elemental composition influences the color of igneous and sedimentary rocks: Case of the High Atlas rocks of Morocco

How elemental composition influences the color of igneous and sedimentary rocks: Case of the High Atlas rocks of Morocco

Comparison of potato (Solanum tuberosum L.) tuber size distribution fitting methods and evaluation of the relationship between soil properties and estimated distribution parameters

The Amber-Colored Liquid: A Review on the Color Standards, Methods of Detection, Issues and Recommendations

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