A prototype infrared reflectance moisture meter

Bowman, G.E.; Hooper, A.W.; Hartshorn, L

doi:10.1016/0021-8634(85)90125-8

Cited by 10 publications

(3 citation statements)

References 4 publications

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“…The calibration requires two reference states, such as the dry state and the completely wet state. The interpretation of this type of measurement raises certain questions (Bowman et al, 1985). The emitted radiation is diffused mainly along the rough surface and secondarily through the pores of a thin surface layer.…”

Section: Surface Metrologymentioning

confidence: 99%

Heat and mass transfer along a wetted porous plate in an air stream

Belhamri

Fohr

1996

AIChE Journal

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Section: Surface Metrologymentioning

confidence: 99%

Heat and mass transfer along a wetted porous plate in an air stream

Belhamri

Fohr

1996

AIChE Journal

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“…Valuable achievements have been attained using hyperspectral technology, such as the estimation of soil heavy metal content, and such technology has been applied to other related fields [8,9]. Considerable research has shown that hyperspectral imaging is closely related to the moisture [10][11][12][13], nutrient [14][15][16][17][18][19], and heavy metal contents [20][21][22][23][24][25][26] and other indicators [27,28] of soil. The application of hyperspectral imaging in the oil pollution detection of soil has also achieved accomplishments.…”

Section: Introductionmentioning

confidence: 99%

Hyperspectral Characteristic Band Selection and Estimation Content of Soil Petroleum Hydrocarbon Based on GARF-PLSR

Shi

Jiang

2023

J. Imaging

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With continuous improvements in oil production, the environmental problems caused by oil exploitation are becoming increasingly serious. Rapid and accurate estimation of soil petroleum hydrocarbon content is of great significance to the investigation and restoration of environments in oil-producing areas. In this study, the content of petroleum hydrocarbon and the hyperspectral data of soil samples collected from an oil-producing area were measured. For the hyperspectral data, spectral transforms, including continuum removal (CR), first- and second-order differential (CR-FD, CR-SD), and Napierian logarithm (CR-LN), were applied to eliminate background noise. At present, there are some shortcomings in the method of feature band selection, such as large quantity, time of calculation, and unclear importance of each feature band obtained. Meanwhile, redundant bands easily exist in the feature set, which seriously affects the accuracy of the inversion algorithm. In order to solve the above problems, a new method (GARF) for hyperspectral characteristic band selection was proposed. It combined the advantage that the grouping search algorithm can effectively reduce the calculation time with the advantage that the point-by-point search algorithm can determine the importance of each band, which provided a clearer direction for further spectroscopic research. The 17 selected bands were used as the input data of partial least squares regression (PLSR) and K-nearest neighbor (KNN) algorithms to estimate soil petroleum hydrocarbon content, and the leave-one-out method was used for cross-validation. The root mean squared error (RMSE) and coefficient of determination (R2) of the estimation result were 3.52 and 0.90, which implemented a high accuracy with only 8.37% of the entire bands. The results showed that compared with the traditional characteristic band selection methods, GARF can effectively reduce the redundant bands and screen out the optimal characteristic bands in the hyperspectral data of soil petroleum hydrocarbon with the method of importance assessment, which retained the physical meaning. It provided a new idea for the research of other substances in soil.

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“…Its sensitivity and accuracy are of great significance for studying the water requirement of crop roots and for formulating reasonable irrigation strategies. 1 At present, there are many methods for detecting soil moisture, such as drying method, tensiometer method, neutron decay method, 2,3 X-ray method, 4 gray transmission method, 5,6 near-infrared method, 7 satellite AMSR-E sensor, 8 graphene quantum dot sensor, 9 and double-probe thermal pulse sensor. 10 The measurement of point scale is mainly based on dielectric sensor.…”

Section: Introductionmentioning

confidence: 99%

A high-sensitivity multilayer soil moisture monitoring sensor based on a double high-frequency tuning detection circuit

Qinglan

Yujiao

Liu

et al. 2020

International Journal of Distributed Sensor Networks

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The multilayer soil moisture Internet of things sensor is designed to monitor the moisture of multiple soil profiles in real time. Its sensitivity and accuracy are of great concern to improve the performance of sensors. This article introduces the system composition of the end-cloud integrated multilayer soil moisture Internet of things sensor and then focuses on the design of key technologies, such as the moisture detection circuit, the time division multiplexing detection technology, and the deredundancy circuit in the analog–digital integrated design. The performance of the soil moisture detection circuit is directly related to the measurement accuracy of the sensor. A detection method is proposed using a high-frequency double-resonance circuit, which can detect small changes in moisture by changing the circuit detuning voltage. The maximum root mean square error of the calibration is less than 1.35% for five typical soils from different places. Compared with that of an independent detection method, the output consistency of the time division multiplexing detection is significantly improved by using the time division multiplexing detection method, which has a root mean square error of only 0.12%. In order to reduce errors caused by inconsistency in each burial, the gravimetric analysis is used in the sensitivity monitoring test, which shows that small changes in soil moisture can be detected by the circuit.

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A prototype infrared reflectance moisture meter

Cited by 10 publications

References 4 publications

Heat and mass transfer along a wetted porous plate in an air stream

Heat and mass transfer along a wetted porous plate in an air stream

Hyperspectral Characteristic Band Selection and Estimation Content of Soil Petroleum Hydrocarbon Based on GARF-PLSR

A high-sensitivity multilayer soil moisture monitoring sensor based on a double high-frequency tuning detection circuit

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