首页|Investigators at North Dakota State University Report Findings in Machine Learni ng (Predicting Gypsum Tofu Quality From Soybean Seeds Using Hyperspectral Imagin g and Machine Learning)

Investigators at North Dakota State University Report Findings in Machine Learni ng (Predicting Gypsum Tofu Quality From Soybean Seeds Using Hyperspectral Imagin g and Machine Learning)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news originating from Fargo, North Dakota, by NewsRx cor respondents, research stated, “Soybean seeds are a key ingredient for producing quality tofu. Conventional methods for assessing soybean seed quality for tofu a re timeconsuming and labor-intensive.” Financial supporters for this research include North Dakota Agricultural Product s Utilization Commission, North Dakota Agricultural Experiment Station.

FargoNorth DakotaUnited StatesNort h and Central AmericaCyborgsEmerging TechnologiesMachine LearningNorth D akota State University

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.31)