Airborne multispectral imagery and deep learning for biosecurity surveillance of invasive forest pests in urban landscapes
Author:
Publisher
Elsevier BV
Subject
Soil Science,Ecology,Forestry
Reference74 articles.
1. Promoting and preserving biodiversity in the urban forest;Alvey;Urban For. Urban Green.,2006
2. Australian plant biosecurity surveillance systems;Anderson;Crop Prot.,2017
3. The effect of tree shade and grass on surface and globe temperatures in and urban area;Armson;Urban For. Urban Green.,2012
4. Integrating remote sensing and Street View images to quantify urban forest ecosystem services;Barbierato;Remote Sens.,2020
5. Bashford, R. 2012. The development of a port surrounds trapping system for the detection of exotic forest insect pests in Australia. In: Oteng-Amoaka, A. A. (Ed.), New Advances and Contributions to Forestry Research, InTech Open, pp. 85–100. https://www.intechopen.com/chapters/35544.
Cited by 6 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. Digital Twin System of Pest Management Driven by Data and Model Fusion;Agriculture;2024-07-09
2. Improving smart home surveillance through YOLO model with transfer learning and quantization for enhanced accuracy and efficiency;PeerJ Computer Science;2024-06-13
3. Identification of Damaged Canopies in Farmland Artificial Shelterbelts Based on Fusion of Unmanned Aerial Vehicle LiDAR and Multispectral Features;Forests;2024-05-20
4. A host-based approach for the prioritisation of surveillance of plant pests and pathogens in wild flora and natural habitats in the UK;Biological Invasions;2024-01-11
5. Research on intelligent clearing of weeds in wheat fields using spectral imaging and machine learning;Journal of Cleaner Production;2023-11
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