Tea (Camellia sinensis) has been found as an important medicinal beverage for human which is consumed all over the world. Primarily, the majority of tea is being cultivated in Asia and Africa, however it is commercially produced by more than 60 countries. Though substantial amount is produced, its processing system is still underdeveloped which leads to decrease in export opportunity as well as low monetary value. Moreover, the traditional method of tea grading and sorting is laborious, inefficient, and costly which ultimately produces the low-quality heterogeneous products. Processing and grading of tea granules after drying is very important task for maintaining quality. Computer vision (CV) applications in processing unit especially in grading and sorting of agro-products is very popular and reliable option to improve quality of produce. In this study, an attempt was taken to develop a machine vision system for quality grading of tea granules based on...
Characterization of tea (Camellia sinensis) granules for quality grading using computer vision system.
M. R. Al Mamun, Department of Farm Power and Machinery, Sylhet Agricultural University, Sylhet, 3100, Bangladesh. E-mail firstname.lastname@example.org
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Towfiqur Rahman, M., Sabiha Ferdous, Sultana Jenin, M., Rahman Mim, T., Masud Alam, Al Mamun, M.R.; Characterization of tea (Camellia sinensis) granules for quality grading using computer vision system.. IFIS Food and Health Sciences Database 2022; doi:
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