首页|Findings from Northwest A&F University in the Area of Machine Learn ing Described (Non-destructive Estimation of the Bruising Time In Kiwifruit Base d On Spectral and Textural Data Fusion By Machine Learning Techniques)
Findings from Northwest A&F University in the Area of Machine Learn ing Described (Non-destructive Estimation of the Bruising Time In Kiwifruit Base d On Spectral and Textural Data Fusion By Machine Learning Techniques)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on Ma chine Learning. According to news originatingfrom Shaanxi, People’s Republic of China, by NewsRx correspondents, research stated, “Detection ofkiwifruit bruis ing time is one of the essential indicators for reducing postharvest losses and assessing internalquality. To investigate if the bruised time of kiwifruit coul d be non-destructively detected, hyperspectralimaging (HSI) technology was used to acquire hyperspectral images of kiwifruit from two different varietiesat va rious bruising time. 70 kiwifruit samples from each of the two varieties were in cluded in the study,with a total of 490 (7 x 70) hyperspectral images collected for each variety across seven bruising time.”
ShaanxiPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningNorthwest A&F University
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