基于迁移学习和改进型 YOLOv7 的新型农田害虫识别方法

IF 0.4 4区农林科学 Q4 ENTOMOLOGY

Oriental Insects Pub Date : 2024-06-03 DOI:10.1080/00305316.2024.2361081

Yi Guo, Ming Liu, Kewei Zeng, Yuan Chang

引用次数: 0

摘要

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A novel farmland pest identification method based on transfer learning and improved YOLOv7

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来源期刊

Oriental Insects 生物-昆虫学

CiteScore

1.60

自引率

0.00%

发文量

审稿时长

>12 weeks

期刊介绍： Oriental Insects is an international, peer-reviewed journal devoted to the publication of original research articles and reviews on the taxonomy, ecology, biodiversity and evolution of insects and other land arthropods of the Old World and Australia. Manuscripts referring to Africa, Australia and Oceania are highly welcomed. Research papers covering the study of behaviour, conservation, forensic and medical entomology, urban entomology and pest control are encouraged, provided that the research has relevance to Old World or Australian entomofauna. Precedence will be given to more general manuscripts (e.g. revisions of higher taxa, papers with combined methodologies or referring to larger geographic units). Descriptive manuscripts should refer to more than a single species and contain more general results or discussion (e.g. determination keys, biological or ecological data etc.). Laboratory works without zoogeographic or taxonomic reference to the scope of the journal will not be accepted.