A critical review of soil moisture measurement

Lekshmi, S.U. Susha; Singh, Devendrá; Baghini, Maryam Shojaei

doi:10.1016/j.measurement.2014.04.007

Cited by 455 publications

(117 citation statements)

References 62 publications

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“…This characteristic is related to important hydrological processes such as infiltration rate, surface runoff and evapotranspiration (Su et al, 2014). In the agricultural field, this parameter directly influences the yield of a crop (Kaleita et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

Use of digital images to estimate soil moisture

Santos

Silva

Pinto

et al. 2016

Rev. bras. eng. agríc. ambient.

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A B S T R A C TThe objective of this study was to analyze the relation between the moisture and the spectral response of the soil to generate prediction models. Samples with different moisture contents were prepared and photographed. The photographs were taken under homogeneous light condition and with previous correction for the white balance of the digital photograph camera. The images were processed for extraction of the median values in the Red, Green and Blue bands of the RGB color space; Hue, Saturation and Value of the HSV color space; and values of the digital numbers of a panchromatic image obtained from the RGB bands. The moisture of the samples was determined with the thermogravimetric method. Regression models were evaluated for each image type: RGB, HSV and panchromatic. It was observed the darkening of the soil with the increase of moisture. For each type of soil, a model with best fit was observed and to use these models for prediction purposes, it is necessary to choose the model with best fit in advance, according to the soil characteristics. Soil moisture estimation as a function of its spectral response by digital image processing proves promising.Uso de imagens digitais para estimar a umidade do solo R E S U M O Objetivou-se, neste trabalho, analisar a relação entre a umidade e a resposta espectral do solo para gerar modelos de predição. Amostras com diferentes umidades foram preparadas e fotografadas. As fotografias foram tomadas em condição de luz homogênea e com correção prévia do balanço de brancos na câmera fotográfica digital. As imagens foram processadas para extração dos valores medianos nas bandas Vermelho, Verde e Azul do espaço de cores RGB; Matiz, Saturação e Valor do espaço de cores HSV; e valores dos números digitais de uma imagem pancromática obtida das bandas RGB. A umidade das amostras foi determinada com o método termogravimétrico. Modelos de regressão foram avaliados para cada tipo de imagem: RGB, HSV e pancromática. Observou-se o escurecimento do solo com aumento da umidade. Para cada tipo de solo houve um modelo com melhor ajuste. Para que modelos de predição possam ser utilizados é necessário escolher previamente o melhor modelo em função das características do solo. A estimativa da umidade do solo em função de sua resposta espectral por meio do processamento de imagens digitais mostra-se promissora. Key words:soil color image processing RGB HSV Palavras-chave: cor do solo processamento de imagens RGB HSV

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Section: Introductionmentioning

confidence: 99%

Use of digital images to estimate soil moisture

Santos

Silva

Pinto

et al. 2016

Rev. bras. eng. agríc. ambient.

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“…A capacitor with a capacity that changes depending on the soil water content describes sensors used in FDR meters for soil moisture measurements. For soil moisture measurements, instruments performing at a constant frequency below 100 MHz are widely commercially available [78,79]. However, some significant measurement errors due to the salinity of the soil are caused by the fact that these instruments require individual calibrations [75].…”

Section: Factors Sensors and Equipmentmentioning

confidence: 99%

Dielectric Spectroscopy in Biomaterials: Agrophysics

et al. 2016

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Being dependent on temperature and frequency, dielectric properties are related to various types of food. Predicting multiple physical characteristics of agri-food products has been the main objective of non-destructive assessment possibilities executed in many studies on horticultural products and food materials. This review manipulates the basic fundamentals of dielectric properties with their concepts and principles. The different factors affecting the behavior of dielectric properties have been dissected, and applications executed on different products seeking the characterization of a diversity of chemical and physical properties are all pointed out and referenced with their conclusions. Throughout the review, a detailed description of the various adopted measurement techniques and the mostly popular equipment are presented. This compiled review serves in coming out with an updated reference for the dielectric properties of spectroscopy that are applied in the agrophysics field.

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“…content is of fundamental importance in the measurement of hydrological characteristics as well as an assessment of water quality and water infiltration Susha Lekshmi, Singh, & Baghini, 2014). Accurate and continuous determination of soil water content is a significant component in relationships among soil, plant, and water as well as with large scale hydrological investigations (Bittelli, 2011;Kelleners, Seyfried, Blonquist, Bilskie, & Chandler, 2005).…”

Section: Introductionmentioning

confidence: 99%

Agroforestry, grass, biofuel crop, and row‐crop management effects on soil water dynamics for claypan landscapes

Alagele

Anderson

Udawatta

2020

Soil Science Soc of Amer J

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Soil water use and water storage vary by vegetative management practices, and these practices affect land productivity and hydrologic processes. This study investigated the effects of agroforestry buffers (AB), grass buffers (GB), and biofuel crops (BC), relative to row crops (RC) on soil water use for a claypan soil in northern Missouri, USA. The experiment located at the Greenley Memorial Research Center included RC, AB, GB, and BC established in 1991, 1997, 1997, and 2012, respectively. Soil water reflectometer sensors installed at 5‐, 10‐, 20‐, and 40‐cm depths monitored soil water from April to November in 2017 and 2018. Results showed significant differences in weekly volumetric water content (VWC) among treatments for all four soil depths in 2017 and 2018. Treatments of AB, GB, and BC had lower VWC (16, 37, and 18% on 9 June), (31, 35, and 20% on 18 August), and (43, 49, and 35% on 29 September) in 2017 and (46, 70, and 19% on 24 August) and (31, 34, and 17% on 5 October) in 2018, respectively, in the pre‐recharge periods for the 5‐cm depth compared with the RC. In the post‐recharge period, equal or occasionally slightly higher soil water occurred in the buffer and biofuel treatments compared to the RC. During recharge, larger increases in soil water due to better infiltration were observed in the perennial vegetative practices relative to RC. The results showed that these practices could significantly influence soil water use and storage compared to RC management, especially for eroded claypan landscapes.

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A critical review of soil moisture measurement

Cited by 455 publications

References 62 publications

Use of digital images to estimate soil moisture

Use of digital images to estimate soil moisture

Dielectric Spectroscopy in Biomaterials: Agrophysics

Agroforestry, grass, biofuel crop, and row‐crop management effects on soil water dynamics for claypan landscapes

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