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)
【24h】
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)
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.”
展开▼