Open AccessRF signal calibration for improvement of 3D mapping image to locate moisture distribution in rice silo
Author(s) -
Abd Alazeez Almaleeh,
Ammar Zakaria,
Mohd Hafiz Fazalul Rahiman,
Y B Abdul Rahim,
L Munirah,
Abdul Hamid Adom
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2107/1/012059
Subject(s) - silo , signal (programming language) , water content , calibration , moisture , remote sensing , environmental science , sampling (signal processing) , process (computing) , soil science , computer science , computer vision , mathematics , geology , geography , statistics , meteorology , geotechnical engineering , filter (signal processing) , programming language , operating system , archaeology
Grain storage is an important part of the post-harvest quality assurance process. The moisture level of the grains during storage is one of the primary problems. The current method of measuring rice grain moisture content is based on random sampling, which is relatively localised, and there is no real-time moisture content measurement available. The RF signal was used to build a new technique for detecting moisture and its presence in rice in real-time in this paper. The mapping of an RF signal, in particular, can be transformed into volumetric tomographic images that can be used to forecast moisture distribution.