Analysis of Varroa Mite Colony Infestation Level Using New Open Software Based on Deep Learning Techniques.

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作者： Jose,Divasón ^[1] ; Ana,Romero ^[1] ; Francisco Javier,Martinez-de-Pison ^[2] ; Matías,Casalongue ^[3] ; Miguel A,Silvestre ^[4] ; Pilar,Santolaria ^[3] ; Jesús L,Yániz ^[3]

作者单位： Departament of Mathematics and Computer Science, University of La Rioja, 26006 Logroño, Spain. ^[1] Department of Mechanical Engineering, University of La Rioja, 26004 Logroño, Spain. ^[2] BIOFITER Research Group, Environmental Sciences Institute (IUCA), Department of Animal Production and Food Sciences, University of Zaragoza, 22071 Huesca, Spain. ^[3] Department of Cell Biology, Functional Biology and Physical Anthropology, University of Valencia, 46100 Burjassot, Spain. ^[4]

关键词 Varroa mite detection deep learning small object detection

主题词动物(Animals);瓦螨科(Varroidae);蜂(Bees);软件(Software);螨感染(Mite Infestations);养蜂(Beekeeping);图像处理, 计算机辅助(Image Processing, Computer-Assisted)

DOI 10.3390/s24123828

PMID 38931612

发布时间 2024-06-29

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