Wheat-Net: An Automatic Dense Wheat Spike Segmentation Method Based on an Optimized Hybrid Task Cascade Model-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

Wheat-Net: An Automatic Dense Wheat Spike Segmentation Method Based on an Optimized Hybrid Task Cascade Model

Published:2022 Issue: Volume: Page:87-106
ISSN:2731-3476
Container-title:Unmanned Aerial Systems in Precision Agriculture
language:
Short-container-title:

Author:

Zhang JiaJing,Min An,Steffenson Brian J.,Su Wenhao,Hirsch Cory D.,Anderson James,Yang Ce,Wei Jian

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-2027-1_6

Reference45 articles.

1. Ni C, Wang D, Vinson R, Holmes M, Tao Y (2019) Automatic inspection machine for maize kernels based on deep convo-lutional neural networks. Biosys Eng 178:131–144. https://doi.org/10.1016/j.biosystemseng.2018.11.010

2. Da Silva LA, Bressan PO, Gonçalves DN, Freitas DM, Machado BB, Gonçalves Wesley N (2019) Estimating soybean leaf defoliation using convolutional neural networks and synthetic images. Comput Electron Agric 156:360–368. https://doi.org/10.1016/j.compag.2018.11.040

3. Desai SV, Balasubramanian VN, Fukatsu T, Ninomiya S, Guo W (2019) Automatic estimation of heading date of paddy rice using deep learning. Plant Methods 15(1):76. https://doi.org/10.1186/s13007-019-0457-1

4. Senthilkumar T, Jayas DS, White NDG, Fields PG, Gräfenhan T (2017) Detection of ochratoxin A contamination in stored wheat using nearinfrared hyperspectral imaging. Infrared Phys Techn 81:228–235. https://doi.org/10.1016/j.infred.2017.01.015

5. Aich S, Josuttes A, Ovsyannikov I, Strueby K, Ahmed I, Duddu HS, Pozniak C, Shirtliffe S, Stavness I (2018) DeepWheat: estimating phenotypic traits from crop images with deep learning. In: 2018 18th IEEE winter conference on applications of computer vision (WACV), pp 323–332. https://doi.org/10.1109/wacv.2018.00042

Cited by 1 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. A lightweight model based on YOLOv8n in wheat spike detection;2023 11th International Conference on Agro-Geoinformatics (Agro-Geoinformatics);2023-07-25

同舟云学术

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