首页|Findings in Machine Learning Reported from Zhejiang University (Enhancing Spectr oscopy-based Fruit Quality Control: a Knowledge-guided Machine Learning Approach To Reduce Model Uncertainty)
Findings in Machine Learning Reported from Zhejiang University (Enhancing Spectr oscopy-based Fruit Quality Control: a Knowledge-guided Machine Learning Approach To Reduce Model Uncertainty)
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2024 OCT 03 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Data detailed on Machine Learning have been presented. According to news report-ing originating from Zhejiang, People's Republic of China, by NewsRx correspondents, research stated, "Spectroscopy-bas ed techniques have made remarkable advancements in their application to fruit qu ality control but encounter challenges of high model uncertainty arising from bi ological variability. Minor changes in spectral measurement orientations or posi tions significantly altered the model prediction for fruit quality, which severe ly affects the reliability of online fruit grading systems."
ZhejiangPeople's Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningZhejiang University
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