Abstract

The Rough rice grading is a set of standard methods and processes for evaluating quality that are important to marketing and process controls. IR thermography uses the electromagnetic spectrum’s infrared region to detect heat that has been emitted. FLIR ONE thermal camera was used to acquire images of the sample. In order to represent each sample, a thermal index was generated using the average value of the pixels in the thermal image. In this study, the grading of rough rice was evaluated using infrared thermography and image processing techniques. Using infrared thermography, the results of the study indicated that detecting moisture content was 87.30% accurate and detecting foreign matter was 95.04% accurate. The results showed that infrared thermography evaluation using spectral analysis could accurately determine the moisture content of rough rice. Farmers, rice millers, and other related government agencies can greatly benefit from the application of non-contact, non-destructive methods for determining the purity and moisture content of rough rice.

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