首页|Data from Jiangsu University Provide New Insights into Machine Learning (Online System for Monitoring the Degree of Fermentation of Oolong Tea Using Integrated Visible-Near-Infrared Spectroscopy and Image-Processing Technologies)
Data from Jiangsu University Provide New Insights into Machine Learning (Online System for Monitoring the Degree of Fermentation of Oolong Tea Using Integrated Visible-Near-Infrared Spectroscopy and Image-Processing Technologies)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on artificial intelligenc e is the subject of a new report. According to news reporting out of Zhenjiang, People’s Republic of China, by NewsRx editors, research stated, “During the ferm entation process of Oolong tea, significant changes occur in both its external c haracteristics and its internal components.” Funders for this research include Scientific And Technological Projects of Fujia n Province. The news reporters obtained a quote from the research from Jiangsu University: “ This study aims to determine the fermentation degree of Oolong tea using visible -near-infrared spectroscopy (vis-VIS-NIR) and image processing. The preprocessed vis-VIS-NIR spectral data are fused with image features after sequential projec tion algorithm (SPA) feature selection. Subsequently, traditional machine learni ng and deep learning classification models are compared, with the support vector machine (SVM) and convolutional neural network (CNN) models yielding the highes t prediction rates among traditional machine learning models and deep learning m odels with 97.14% and 95.15% in the prediction set, respectively. The results indicate that VIS-NIR combined with image processing p ossesses the capability for rapid nondestructive online determination of the fe rmentation degree of Oolong tea. Additionally, the predictive rate of traditiona l machine learning models exceeds that of deep learning models in this study.”
Jiangsu UniversityZhenjiangPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningTechn ology
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