Small-target weed-detection model based on YOLO-V4 with improved backbone and neck structures
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Agricultural and Biological Sciences
Link
https://link.springer.com/content/pdf/10.1007/s11119-023-10035-7.pdf
Reference29 articles.
1. Aversano, L., Bernardi, M., Cimitile, M., Iammarino, M., Rondinella, S. (2020). Tomato diseases Classification Based on VGG and Transfer Learning. In Proceedings of the 2020 IEEE International Workshop on Metrology for Agriculture and Forestry (MetroAgriFor) (pp. 129–133).IEEE. https://doi.org/10.1109/MetroAgriFor50201.2020.9277626
2. Bochkovskiy, A., Wang, C. Y., & Liao, H. Y. M. (2020). Yolov4: Optimal speed and accuracy of object detection. arXiv preprint arXiv: 2004.10934. https://doi.org/10.48550/arXiv.2004.10934
3. Chen, J., Wang, H., Zhang, H., Luo, T., Wei, D., Long, T., & Wang, Z. (2022). Weed detection in sesame fields using a YOLO model with an enhanced attention mechanism and feature fusion. Computers & Electronics in Agriculture, 202, 107412. https://doi.org/10.1016/j.compag.2022.107412
4. Fu, L., Gao, F., Wu, J., Li, R., Karkee, M., & Zhang, Q. (2020). Application of consumer RGB-D cameras for fruit detection and localization in field: A critical review. Computers & Electronics in Agriculture, 177, 105687. https://doi.org/10.1016/j.compag.2020.105687
5. Goutte, C., & Gaussier, E. (2005). A probabilistic interpretation of precision, recall and F-score, with implication for evaluation. In European Conference on Information Retrieval (pp. 345–359). Santiago de Compostela, Spain. https://doi.org/10.1007/978-3-540-31865-1_25
Cited by 15 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Entomopathogenic nematode detection and counting model developed based on A-star algorithm;Journal of Invertebrate Pathology;2024-11
2. YOLO-WDNet: A lightweight and accurate model for weeds detection in cotton field;Computers and Electronics in Agriculture;2024-10
3. YOLOv8-ECFS: A lightweight model for weed species detection in soybean fields;Crop Protection;2024-10
4. WBi-YOLOSF: improved feature pyramid network for aquatic real-time target detection under the artificial rabbits optimization;Scientific Reports;2024-08-03
5. Advancing Precision Agriculture: Enhanced Weed Detection Using the Optimized YOLOv8T Model;Arabian Journal for Science and Engineering;2024-08-02
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3