首页> 外文期刊>Network Daily News >Reports from Beijing University of Posts and Telecommunications Highlight Recent Findings in Pest Management (Auto-identification of Two Sitophilus Sibling Species On Stored Wheat Using Deep Convolutional Neural Network)
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Reports from Beijing University of Posts and Telecommunications Highlight Recent Findings in Pest Management (Auto-identification of Two Sitophilus Sibling Species On Stored Wheat Using Deep Convolutional Neural Network)

机译:在北京大学的文章和报道电信突出最近的发现害虫管理(识别两种Sitophilus同胞种存储小麦深卷积神经网络)

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摘要

By a News Reporter-Staff News Editor at Network Daily News – Fresh data on Life Science Research - Pest Management are presented in a new report. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Sitophilus oryzae and Sitophilus zeamais are the two main insect pests that infest stored grain worldwide. Accurate and rapid identification of the two pests is challenging because of their similar appearances. The S. zeamais adults are darker and shinier than S. oryzae in visible light.”
机译:由一个新闻记者在网络新闻编辑每日新闻——生命科学研究方面的新数据——害虫管理提出了一个新的报告。据北京新闻报道,中华人民共和国NewsRx记者,研究指出,“Sitophilus oryzae和Sitophilus zeamais是两个主要昆虫害虫寄生于存储粮食。准确、快速的识别害虫是具有挑战性的,因为他们的相似露面。在可见光比美国更光鲜oryzae。”

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