K-State Leads International UAS Agricultural Research for Early Pest, Disease Detection

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K-State Leads International UAS Agricultural Research for Early Pest, Disease Detection

机译：K-State领导国际UAS农业研究早期病虫害检测

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Kansas State University Salina and Manhattan campuses are leading an international project with Queensland Institute of Technology; the Victorian Department of Environment and Primary Industries; and the Queensland Department of Agriculture, Fisheries and Forestry to examine the use of unmanned aircraft systems in detecting pest insects and diseases in food crops before outbreaks happen. The multimillion dollar project, "Optimizing Surveillance Protocols Using Unmanned Aerial Systems," is funded by the Plant Biosecurity Cooperative Research Centre, a group of governmental research institutions and universities in Australia and New Zealand supported by industry and government partners.

机译：堪萨斯州立大学萨利纳分校和曼哈顿校区正在领导昆士兰技术学院的一个国际项目。维多利亚州环境与初级产业部；昆士兰州农业，渔业和林业部在爆发爆发前检查了无人驾驶飞机系统在检测粮食作物中的害虫和疾病方面的应用。这项耗资数百万美元的项目“使用无人航空系统优化监视协议”由植物生物安全合作研究中心提供资金，该中心是由澳大利亚和新西兰的政府研究机构和大学组成的团体，得到了行业和政府合作伙伴的支持。

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《Unmanned systems》 |2015年第5期|17-17|共1页
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1. Diseases and pests identification in maize - a multilingual scenario. (Special Issue: Artificial intelligence in agriculture.) [J] . Sudeep Marwaha, Punam Bedi, Yadav V. K. Journal of the Indian Society of Agricultural Statistics . 2013,第1期

机译：玉米中的病虫害识别-多语言场景。（特刊：农业人工智能。）
2. International potato center leads consortium to counter late blight: world's most devastating agricultural disease recalls impact of Irish famine [J] . Diversity . 1999,第1期

机译：国际马铃薯中心牵头财团应对晚疫病：世界上最具破坏性的农业疾病召回爱尔兰饥荒的影响
3. A Smart Insect Pest Detection Technique With Qualified Underground Wireless Sensor Nodes for Precision Agriculture [J] . Bayrakdar Muhammed Enes IEEE sensors journal . 2019,第22期

机译：带有合格地下无线传感器节点的智能害虫检测技术，用于精准农业
4. IoT Monitoring System for Early Detection of Agricultural Pests and Diseases [C] . Ntihemuka Materne, Masahiro Inoue 2018 12th South East Asian Technical University Consortium . 2018

机译：物联网监测系统，用于农业病虫害的早期发现
5. Invasive plant pests detection difficulties at port of entry: A phenomenological study of the lived experiences of agriculture specialists. [D] . Ambe, Shu. 2015

机译：入境口岸入侵性植物害虫检测的困难：农业专家生活经验的现象学研究。
6. Evaluating Detection Limits of Next-Generation Sequencing for the Surveillance and Monitoring of International Marine Pests [O] . Xavier Pochon, Nathan J. Bott, Kirsty F. Smith, -1

机译：评估国际海洋害虫监测和监测的下一代测序的检出限
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K-State Leads International UAS Agricultural Research for Early Pest, Disease Detection

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