Abstract
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.
Highlights
In Malaysia, rice is a symbol of the local culture, and is consumed daily either as cooked rice or indirectly in the form of rice flour
In analysis of the challenges of this agricultural industry, researchers have found that appropriate silo facilities and effective farm management practices should be emphasized to guarantee an adequate supply of domestic production [4,5]
electrical capacitance tomography (ECT) and electrical resistance tomography (ERT) are known as electrical tomography, which was developed to visualize the permittivity and conductivity distribution inside the OI by measuring a set of capacitance and resistance between inter-electrodes mounted around the periphery of the OI [25]
Summary
Nurul Amira Mohd Ramli 1,2 , Mohd Hafiz Fazalul Rahiman 1,2, * , Latifah Munirah Kamarudin 2,3 , Latifah Mohamed 1,2 , Ammar Zakaria 1,2 , Anita Ahmad 4 and Ruzairi Abdul Rahim 4. Faculty of Electronic Engineering Technology, Universiti Malaysia Perlis, Pauh Putra Campus, Perlis 02600, Malaysia
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