首页|Recent Studies from Zhejiang Agriculture & Forestry University Add New Data to Robotics and Machine Learning [Classification of Chinese Hickory With Different Aging Times Using Two-dimensional Correlation Sp ectral (2dcos) Images Combined With …]
Recent Studies from Zhejiang Agriculture & Forestry University Add New Data to Robotics and Machine Learning [Classification of Chinese Hickory With Different Aging Times Using Two-dimensional Correlation Sp ectral (2dcos) Images Combined With …]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Robotics and Machine Learning have been published. Accordingto news reporting originating fr om Hangzhou, People’s Republic of China, by NewsRx correspondents,research stat ed, “The Chinese hickory (Carya cathayensis Sarg.), highly valued in eastern Chi na forits culinary appeal and nutritional value, is prone to rancidity during s torage due to its high contentof polyunsaturated fatty acids. This research int roduces an innovative method for categorizing Chinesehickory nuts according to their aging durations by integrating two-dimensional correlation spectroscopy (2DCOS) with transfer learning, using hyperspectral imaging technology (HSI).”
HangzhouPeople’s Republic of ChinaAs iaRobotics and Machine LearningZhejiang Agriculture & Forestry University
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