首页|Findings from Guangdong Academy of Agricultural Sciences Yields New Data on Mach ine Learning (Development of Comprehensive Prediction Models for Pumpkin Fruit S ensory Quality Using Physicochemical Analysis, Near-infrared Spectroscopy, and . ..)

Findings from Guangdong Academy of Agricultural Sciences Yields New Data on Mach ine Learning (Development of Comprehensive Prediction Models for Pumpkin Fruit S ensory Quality Using Physicochemical Analysis, Near-infrared Spectroscopy, and . ..)

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Researchers detail new data in Machine Learning. According to news reporting originating from Guangzhou, People's Repu blic of China, by NewsRx correspondents, research stated, "Pumpkins are vegetabl es rich in nutrients. Despite the significant impact of sensory attributes on ma rket success, guidance on standardizing quality factors related to sensory quali ty is lacking." Funders for this research include Guangxi Key R & D Program Projec t, Guangzhou Basic and Applied Basic Research Foundation, National Natural Scien ce Foundation of China (NSFC), Special Foundation for Introduction of Scientific Talents of Guangdong Academy of Agricultural Sciences, Key Realm R & D Program of Guangdong Province, Food nutrition and health Collaborative Innovat ion Center of GDAAS.

GuangzhouPeople's Republic of ChinaA siaCyborgsEmerging TechnologiesMachine LearningGuangdong Academy of Agri cultural Sciences

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Oct.7)