Reports from Tianjin University of Traditional Chinese Medicine Advance Knowledg e in Machine Learning (Efficient and Nondestructive Classification of Lily Bulb s By Laser-induced Breakdown Spectroscopy Combined With Machine Learning Methods )
Reports from Tianjin University of Traditional Chinese Medicine Advance Knowledg e in Machine Learning (Efficient and Nondestructive Classification of Lily Bulb s By Laser-induced Breakdown Spectroscopy Combined With Machine Learning Methods )
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on Machine Learn ing have been published. According to news reporting out of Tianjin, People's Re public of China, by NewsRx editors, research stated, "The study presented here i s a pioneering attempt to utilize Laser-Induced Breakdown Spectroscopy (LIBS) fo r the non-destructive testing and classification of lily bulbs. Given the comple xities and time-consuming nature of traditional classification methods based on organic matter content detection, the gradual adoption of spectral technologies as an alternative tool is timely."Funders for this research include Innovation Team and Talents Cultivation Progra m of National Administration of Traditional Chinese Medicine, National Natural S cience Foundation of China (NSFC), Science and Technology Program of Tianjin, Sc ience and Tech- nology Project of Haihe Laboratory of Modern Chinese Medicine.
Key words
Tianjin/People's Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Tianjin University of Tradi tional Chinese Medicine
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