Tea Bud Leaf Identification by Using Machine Learning and Image Processing Techniques

Abstract

— This research paper concerns the machine learning approach for tea bud leaf identification. The tea bud identification is most important for the process of automated tea leaves grading machines. In the present situation, there are no methods to identify the tea bud leaf separately from the main tea leaf. Unfortunately developing of mechanism for identification process is impossible because the plucked tea leaves not in the same condition. Therefore, the identification is needs intelligent practice to detect the tea bud leaf. In this research, the machine learning object detection technique is developed and successfully used for identify tea bud leaf and the capability of this proposed technique is validated through experimental results obtained by performing experiments by using MATLAB software. According to results, the proposed methodology provides 55% of overall accuracy for identification.