Rice Grain Quality Determination Using OTSU's Thresholding Method

In the agriculture sector, determining the grain quality poses a substantial difficulty. As food products are classified and graded into different grades based on their quality parameters after harvesting, quality control is essential in the food industry. The manual assessment of grain quality is a...

Full description

Saved in:
Bibliographic Details
Published in2023 3rd International Conference on Pervasive Computing and Social Networking (ICPCSN) pp. 458 - 465
Main Authors L, Megalan Leo, T, Gourav
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2023
Subjects
Dilation
Edge detection
Erosion
Grain quality
Machine learning algorithms
Otsu's thresholding method
Rice Database
Shape
Shape measurement
Social networking (online)
Spectroscopy
Thresholding (Imaging)
Training
Online AccessGet full text

Cover

More Information
Summary:In the agriculture sector, determining the grain quality poses a substantial difficulty. As food products are classified and graded into different grades based on their quality parameters after harvesting, quality control is essential in the food industry. The manual assessment of grain quality is a time-consuming and expensive operation with relative and variable outcomes. The employment of image processing algorithms as an alternate technique for assessing the grain quality can assist get beyond the drawbacks of existing techniques. Usually, rice's standard is judged based on both its physical and chemical characteristics. The borders of each grain have been identified using edge detection techniques, allowing for the determination of its length and breadth.
DOI:10.1109/ICPCSN58827.2023.00081