NAPPFAST: an internet system for the weather-based mapping of plant pathogens.

Magarey R D; Fowler G A; Borchert D M; Sutton T B; Colunga Garcia M; Simpson J A

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NAPPFAST: an internet system for the weather-based mapping of plant pathogens.

机译：NAPPFAST：用于基于天气的植物病原体作图的互联网系统。

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This paper describes the NCSU-APHIS Plant Pest Forecasting (NAPPFAST) system, an internet system for the weather-based mapping of plant pathogens, its components (climate databases, biological templates, numerical output), the tools used for model and map creation, and model validation. Several prominent case studies (including soybean rust (Phakopsora pachyrizi) and sudden oak death (Phytophthora ramorum)) are presented. Potential developments of the NAPPFAST system and its sister products used for survey, detection and eradication are mentioned..

机译：本文介绍了NCSU-APHIS植物病虫害预测（NAPPFAST）系统，基于天气的植物病原体地图绘制互联网系统，其组成部分（气候数据库，生物模板，数值输出），用于模型和地图创建的工具，和模型验证。介绍了几个重要的案例研究（包括大豆锈病（Phakopsora pachyrizi）和橡树猝死（Phytophthora ramorum））。提到了NAPPFAST系统及其姊妹产品用于调查，检测和根除的潜在发展。

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来源
《Plant Disease》 |2007年第4期|共10页
作者
Magarey R D; Fowler G A; Borchert D M; Sutton T B; Colunga Garcia M; Simpson J A;
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原文格式 PDF
正文语种 eng
中图分类植物保护;
关键词
climate; databases; forecasting; fungal diseases; internet; mapping; models; plant diseases; plant pathogenic fungi; plant pathogens; weather;

机译：气候;数据库;预报;真菌病;互联网;制图;模型;植物病害;植物病原真菌;植物病原体;天气;

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1. NAPPFAST: an internet system for the weather-based mapping of plant pathogens. [J] . Magarey R D, Fowler G A, Borchert D M, Plant Disease . 2007,第4期

机译：NAPPFAST：用于基于天气的植物病原体作图的互联网系统。
2. A Survey of Mapping Systems for Locator/Identifier Split Internet Routing [J] . Hoefling Michael, Menth Michael, Hartmann Matthias Communications Surveys & Tutorials, IEEE . 2013,第4期

机译：定位器/标识符拆分Internet路由映射系统的概述
3. Mapping and Planning: Key First Steps to Eradicating the Weedy Plants That Dominate Riparian Systems in Urban California [J] . Brad Burkhart, Mike Kelly Ecological restoration . 2005,第1期

机译：制图和规划：消除在加利福尼亚州城市中占主导地位的河岸系统的杂草植物的关键第一步
4. Classifying common wetland plants using hyperspectral data to identify optimal spectral bands for species mapping using a small unmanned aerial systems — A case study [C] . Sathishkumar Samiappan, Gray Turnage, Lee Hathcock, International Geoscience and Remote Sensing Symposium . 2017

机译：使用高光谱数据对普通湿地植物进行分类，以识别最佳光谱带，以使用小型无人航空系统进行物种制图—案例研究
5. Effects of maize (Zea mays L.) cropping systems and tropical legumes on soil chemical and biochemical properties and suppressiveness to soilborne plant pathogens. [D] . Quiroga-Madrigal, Ricardo Rene. 2000

机译：玉米（Zea mays L.）种植系统和热带豆类对土壤化学和生化特性以及对土壤传播的植物病原体的抑制作用。
6. Internet of Things and Enhanced Living Environments: Measuring and Mapping Air Quality Using Cyber-physical Systems and Mobile Computing Technologies [O] . Gonçalo Marques, Nuno Miranda, Akash Kumar Bhoi, 2020

机译：物联网和改善的生活环境：使用网络物理系统和移动计算技术测量和绘制空气质量
7. NAPPFAST: An Internet System for the Weather-Based Mapping of Plant Pathogens [O] . R. D. Magarey, G. A. Fowler, D. M. Borchert, 2007

机译：nappfast：植物病原体天气映射的互联网系统

NAPPFAST: an internet system for the weather-based mapping of plant pathogens.

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