基于深度学习的黄瓜叶片病虫害检测轻量级改进yolov5模型

IF 2 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Saman M. Omer, Kayhan Z. Ghafoor, Shavan K. Askar
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Lightweight improved yolov5 model for cucumber leaf disease and pest detection based on deep learning
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来源期刊
Signal Image and Video Processing
Signal Image and Video Processing ENGINEERING, ELECTRICAL & ELECTRONIC-IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY
CiteScore
3.80
自引率
8.70%
发文量
328
审稿时长
6 months
期刊介绍: The journal is an interdisciplinary journal presenting the theory and practice of signal, image and video processing. It aims at: - Disseminating high level research results and engineering developments to all signal, image or video processing researchers and research groups. - Presenting practical solutions for the current signal, image and video processing problems in Engineering and Science. Subject areas covered by the journal include but are not limited to: Adaptive processing – biomedical signal processing – multimedia signal processing – communication signal processing – non-linear signal processing – array processing – statistics and statistical signal processing – modeling – filtering – data science – graph signal processing – multi-resolution signal analysis and wavelets – segmentation – coding – restoration – enhancement – storage and retrieval – colour and multi-spectral processing – scanning – displaying – printing – interpolation – image processing - video processing-motion detection and estimation – stereoscopic processing – image and video coding.
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