教学科研

Detection of Aphis gossypii Glover Infection in Cotton Leaves Using Hyperspectral Imaging

发布者:信息科学与技术学院发布时间:2022-06-12浏览次数:411

题目:Detection of Aphis gossypii Glover Infection in Cotton Leaves Using Hyperspectral Imaging

报告人:鄢天荥

时间:2022年6月15日16:00-17:30

地点:绿2-303

腾讯会议号:438-2370-8414

报告人简介

鄢天荥,男,中共党员,BET体育365投注官网农业工程专业硕士研究生,研究方向为农业信息化技术及应用。2021-2022学年“硕士研究生国家奖学金”获得者。截至目前,围绕新疆农业生产问题,参与发表11篇论文,其中SCI收录8篇,国际会议2篇,CSCD/北大核心收录1篇,以学生第一作者身份发表论文4篇(3篇为中科院TOP期刊);获得有权发明专利3项,其中以学生第一作者身份获得有权发明专利2项;获得软件著作权5项;发表学术报告1次;获省部级及以上荣誉和奖励10余项,其中包括中国软件开源创新大赛一等奖(中国计算机协会)、3次中国研究生电子设计竞赛二等奖和三等奖(中国电子学会)、ACM-ICPC中国(西部)大学生程序设计竞赛铜牌(国际计算机协会)。

内容摘要

Cotton is rich in cellulose and is the largest source of natural textiles. It has important applications in the medical field and an important position in the global economy. However, cotton plants are vulnerable to pests during the 6-month growth period. Aphids (Aphis gossypii Glovers) are one of the most invasive pests in cotton plants. Aphids can reproduce rapidly within a few days, hiding in the lower surface of leaves and the core of young leaves. The small size and fast reproduction of aphids are the main obstacles in the control process of cotton pests. Hyperspectral imaging technology combines imaging and spectroscopy techniques to detect the two-dimensional (2D) geometric space and one-dimensional (1D) spectral information of the target, and can quickly and non-destructively analyze the research object. Previous studies have proved that hyperspectral imaging can identify the outbreak and dynamics of plant diseases and pests. This report aims to bring academic research on the hyperspectral imaging application in pest detection as a branch of agricultural engineering research direction. In addition, participants in this report are encouraged to discuss topics related to outstanding research in pest and disease detection combined with hyperspectral imaging, including theoretical methods and practical cases.


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