scholarly journals The Soil Moisture Content Determination using Interdigital Sensor

2012 ◽  
Vol 18 (10) ◽  
Author(s):  
V. Markevicius ◽  
D. Navikas ◽  
A. Valinevicius ◽  
D. Andriukaitis ◽  
M. Cepenas
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Soil Moisture Content ◽  
Content Determination ◽  
Moisture Content Determination

A comparison of two methods for estimating conifer live foliar moisture content

2012 ◽  
Vol 21 (2) ◽  
pp. 180 ◽  
Author(s):  
W. Matt Jolly ◽  
Ann M. Hadlow
Keyword(s):  
Moisture Content ◽  
Mean Absolute Error ◽  
Absolute Error ◽  
Fuel Moisture ◽  
Oven Drying ◽  
Moisture Contents ◽  
Content Determination ◽  
Rapid Moisture ◽  
Live Fuel Moisture ◽  
Moisture Content Determination

Foliar moisture content is an important factor regulating how wildland fires ignite in and spread through live fuels but moisture content determination methods are rarely standardised between studies. One such difference lies between the uses of rapid moisture analysers or drying ovens. Both of these methods are commonly used in live fuel research but they have never been systematically compared to ensure that they yield similar results. Here we compare the foliar moisture content of Pinus contorta (lodgepole pine) at multiple sites for an entire growing season determined using both oven-drying and rapid moisture analyser methods. We found that moisture contents derived from the rapid moisture analysers were nearly identical to oven-dried moisture contents (R2 = 0.99, n = 68) even though the rapid moisture analysers dried samples at 145°C v. oven-drying at 95°C. Mean absolute error between oven-drying and the rapid moisture analysers was low at 2.6% and bias was 0.62%. Mean absolute error was less than the within-sample variation of an individual moisture determination method and error was consistent across the range of moisture contents measured. These results suggest that live fuel moisture values derived from either of these two methods are interchangeable and it also suggests that drying temperatures used in live fuel moisture content determination may be less important than reported by other studies.

scholarly journals Sifat Fisik, Kimia dan FTIR Spektrofotometri Gambut Hidrofobik Kalimantan Tengah

2013 ◽  
Vol 14 (2) ◽  
pp. 159-166
Author(s):  
Sri Nuryani Hidayah Utami ◽  
Azwar Maas ◽  
Bostang Radjagukguk ◽  
Benito Heru Purwanto
Keyword(s):  
Soil Moisture ◽  
Chemical Analysis ◽  
Moisture Content ◽  
Physical Properties ◽  
Soil Moisture Content ◽  
Ftir Spectra ◽  
Water Repellent ◽  
Total Acidity ◽  
Peat Soils ◽  
Oven Drying

Peat soils naturally have hydrophilic or waterloving character with highly capable of exchanging the cations and cycling the nutrients from the vegetations. This water-loving character is altered to water-repellent character in hydrophobic peat soils. This research was aimed toobserve deeply the functional bunch carrier of hydrophobic and hydrophilic peat soils as shown by FTIR spectra in relation with inherent chemical and physical properties of the soils. Five peat soils consisted of two native andartificial hydrophobic peat soils and one sample of hydrophilic peat soils were studied. Artificial hydrophobic peat soils were yielded by oven-drying the native hydrophobic peat soils at 50 oC for 10 hours. FTIR spectra can distinguish the functional bunch carrier of hydrophobic and hydrophilic peat soils. FTIR spectra of hydrophobic peat soils showed degradation of hydrophilic bunch carrier (OH and COOH) and increase of the hydrophobic bunch carrier (tying aromatic from esther and ether). Chemical analysis of the hydrophobic peat soils also indicated the decrease of OH and COOH content, decrease of CEC , soil total acidity and soil moisture content.

Soil Moisture Research of Revegetation Area on Slop of Yingrui Highway in the Spring

2011 ◽  
Vol 356-360 ◽  
pp. 2440-2444
Author(s):  
Chun Ying Long
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Soil Moisture Content ◽  
Dynamic Monitoring ◽  
Moisture Determination ◽  
Drying Method ◽  
Deep Soil ◽  
Oven Drying ◽  
Rocky Slope ◽  
Reconstruction Mode

The research object is slop near Yingrui highway, we mainly used oven drying method, combined with TDR, carrying out different vegetation types in interchange area and different substrates types in slope area about dynamic monitoring soil moisture in the spring. According to the result, The daily dynamic of the 2 types of slop soil moisture content has no obvious regular pattern, but each time the moisture content in soil slope are higher than rocky slope. We can get the conclusion after variance analysis, the main factors which influencing the discretion of the soil moisture content in slope and interchange area are the slope matrix type and the different vegetation reconstruction mode in interchange area. Meanwhile, according to the data, which we applied to the same experiment with both TDR and oven drying method, and after comparative analysis, we think, it’s completely effective to make TDR applied in deep soil moisture determination in some places such as interchange area, but the data about shallow soil moisture determination which got from the places such as in side slope is inaccurate. We should be more cautious when using it.

scholarly journals CONFIDENCE ANALYSIS AND CALIBRATION OF A FC-28 SOIL MOISTURE SENSOR MOUNTED ON A MICROCONTROLLER PLATFORM

Nativa ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 123-128
Author(s):  
Fernando Ferreira Lima dos Santos ◽  
Leticia Cardoso Madureira Tavares ◽  
Guilherme de Moura Araújo ◽  
Lucas de Lima Casseres dos Santos ◽  
Caio Picinin Rocha Affonso Nogueira ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Soil Moisture Content ◽  
Low Cost ◽  
Laboratory Methods ◽  
Moisture Sensor ◽  
Soil Moisture Sensor ◽  
De Se ◽  
Need To Evaluate ◽  
Moisture Content Determination

Nowadays, the global water crisis poses a great challenge to humanity and a risk to be managed by future generations. In order to use this resource consciously, it is known in the area of agricultural irrigation the need to evaluate the amount of water to be used. Among the soil moisture content determination methods, sensors, coupled to a programmable logic controller, emerge as an alternative to conventional laboratory methods, making the procedure faster and less labor intensive. In this sense, the present work aimed to evaluate the reliability and precision of a low-cost sensor to determine soil moisture content. It was concluded that the evaluated sensors did not present a known precision to estimate the level of soil moisture content. A FC-28 sensor coupled with a Arduino platform was used with three different soils (texture: low, medium and heavy), moisture ranging from 15 to 50%. The results indicated that soil texture influenced the readings, even at the same humidity. In addition, the evaluated sensors did not present replicability nor accuracy for less them 10% moisture differences. Therefore, there is need to calibrate each sensor individually. Keywords: arduino; irrigation; embedded systems.   Análise de confiabilidade e calibração do sensor de umidade do solo FC-28 montado em plataforma microcontroladora   RESUMO: Atualmente, a crise hídrica mundial representa um grande desafio à humanidade e um risco a ser gerenciado pelas gerações futuras. De forma a utilizar este recurso de forma consciente, estudos na área de irrigação agrícola apontam a necessidade de se estimar com precisão a quantidade de água a ser usada. Dentre os métodos de determinação da umidade do solo, os sensores, acoplados a um controlador lógico programável, surgem como uma alternativa aos métodos convencionais de laboratório, tornando o procedimento mais rápido e menos trabalhoso. Neste sentido, o presente trabalho avaliou a confiabilidade e precisão de um sensor de baixo custo para determinação da umidade do solo. Um sensor FC-28 associado à uma plataforma Arduino foi usado em três tipos diferentes de solos (texturas: leve, média e pesada), umidades variando de 15 a 50%. Concluiu-se que os sensores avaliados não apresentaram boa precisão para estimar o grau de umidade dos solos. A textura do solo influenciou diretamente as leituras dos sensores, mesmo para a mesma umidade. Além de não apresentaram replicabilidade nem precisão para diferenças menores de 15% nos valores de umidades. Portanto, é necessário calibrar cada sensor individualmente. Palavras-chave: arduino; irrigação; plataformas embarcadas.

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