首页|Tanta University Reports Findings in Machine Learning (Machine learning-driven a ssessment of biochemical qualities in tomato and mandarin using RGB and hyperspe ctral sensors as nondestructive technologies)
Tanta University Reports Findings in Machine Learning (Machine learning-driven a ssessment of biochemical qualities in tomato and mandarin using RGB and hyperspe ctral sensors as nondestructive technologies)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New research on Machine Learning is th e subject of a report. According to newsreporting originating in Tanta, Egypt, by NewsRx journalists, research stated, “Estimation of fruit qualityparameters are usually based on destructive techniques which are tedious, costly and unreli able whendealing with huge amounts of fruits. Alternatively, non-destructive te chniques such as image processingand spectral reflectance would be useful in ra pid detection of fruit quality parameters.”
NETL
NSTL
