A New Method of Rice Moisture Content Determination Using Voxel Weighting-Based from Radio Tomography Images

This manuscript presents a new method to monitor and localize the moisture distribution in a rice silo based on tomography images. Because the rice grain is naturally hygroscopic, the stored grains’ quality depends on their level of moisture content. Higher moisture content leads to fibre degradatio...

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Bibliographic Details
Published inSensors (Basel, Switzerland) Vol. 21; no. 11; p. 3686
Main Authors Mohd Ramli, Nurul Amira, Fazalul Rahiman, Mohd Hafiz, Kamarudin, Latifah Munirah, Mohamed, Latifah, Zakaria, Ammar, Ahmad, Anita, Rahim, Ruzairi Abdul
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 26.05.2021
MDPI
Subjects
Agricultural production
Algorithms
Correlation coefficients
Dielectric properties
Embrittlement
Grain
Grain storage
Gravimetric analysis
image reconstruction
Measurement methods
Moisture content
moisture measurement
radio tomography
Regularization
Rice
rice moisture content
rice silo
Sensors
Simulation
Tomography
Weighting
Wireless networks
Malaysia
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Summary:This manuscript presents a new method to monitor and localize the moisture distribution in a rice silo based on tomography images. Because the rice grain is naturally hygroscopic, the stored grains’ quality depends on their level of moisture content. Higher moisture content leads to fibre degradation, making the grains too frail and possibly milled. If the moisture is too low, the grains become brittle and are susceptible to higher breakage. At present, the single-point measurement method is unreliable because the moisture build-up inside the silo might be distributed unevenly. In addition, this method mostly applies gravimetric analysis, which is destructive. Thus, we proposed a radio tomographic imaging (RTI) system to address these problems. Four simulated phantom profiles at different percentages of moisture content were reconstructed using Newton’s One-Step Error Reconstruction and Tikhonov Regularization algorithms. This simulation study utilized the relationship between the maximum voxel weighting of the reconstructed RTI image and the percentage of moisture content. The outcomes demonstrated promising results, in which the weighting voxel linearly increased with the percentage of moisture content, with a correlation coefficient higher than 0.95 was obtained. Therefore, the results support the possibility of using the RTI approach for monitoring and localizing the moisture distribution inside the rice silo.
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ISSN:1424-8220
1424-8220
DOI:10.3390/s21113686