Robotics & Machine Learning Daily News2024,Issue(Sep.5) :21-22.

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)

Robotics & Machine Learning Daily News2024,Issue(Sep.5) :21-22.

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)

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Abstract

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.”

Key words

Tanta/Egypt/Africa/Biochemicals/Bioc hemistry/Biological Factors/Chemicals/Chlorophyll/Chlorophyllides/Cyborgs/Emerging Technologies/Machine Learning/Metalloporphyrins/Porphyrins/Technolo gy

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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