Robotics & Machine Learning Daily News2024,Issue(Dec.18) :112-112.

Ministry of Agriculture Reports Findings in Machine Learning (Skin hyperspectral imaging and machine learning to accurately predict the muscular poly-unsaturate d fatty acids contents in fish)

Robotics & Machine Learning Daily News2024,Issue(Dec.18) :112-112.

Ministry of Agriculture Reports Findings in Machine Learning (Skin hyperspectral imaging and machine learning to accurately predict the muscular poly-unsaturate d fatty acids contents in fish)

扫码查看

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 out of Beijing, People’s Repu blic of China, by NewsRx editors, research stated, “The polyunsaturatedfatty ac ids (PUFAs), particularly eicosapentaenoic acid (EPA) and docosahexaenoic acid ( DHA),are critical determinants of the nutritional quality of fish. To rapidly a nd non-destructively determine themuscular PUFAs in living fish, an accuracy te chnique is urgently needed.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文