首页|Reports Summarize Machine Learning Research from Kyungpook National University ( Predicting the properties of wheat flour from grains during debranning: A machin e learning approach)
Reports Summarize Machine Learning Research from Kyungpook National University ( Predicting the properties of wheat flour from grains during debranning: A machin e learning approach)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news reporting out of Daegu, South Korea, by NewsRx editors, research stated, “In the food industry, meeting food q uality demands is challenging. The quality of wheat flour, one of the most commo nly used ingredients, depends on the extent of debranning done to remove the ale urone layer before milling.” Financial supporters for this research include Rural Development Administration; Ministry of Agriculture Food And Rural Affairs.
Kyungpook National UniversityDaeguSo uth KoreaAsiaCyborgsEmerging TechnologiesMachine Learning
NETL
NSTL
