首页|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)

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)

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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.”

BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Dec.18)