TrAgLor - Turkish Agricultural Learning Objects Repository

Object Details

Disease Forecasting and Validation

Identifier : Catalog : URI
Entry : http://www.apsnet.org/edcenter/advanced/topics/EcologyAndEpidemiologyInR/DiseaseForecasting/Pages/default.aspx


Title : Turkish Bitki Hastalıklarının Tahminlenmesi ve Doğrulaması
English Disease Forecasting and Validation
German Krankheit Prognose und Validierung


Language : English English



Descriptions : Turkish Bitki hastalıklarının tahminlenmesinde uygulanan yöntemler ve bazı uygulama güçlükleri R istatistik analiz ve programlama dilinde geliştirilen kodlar ve grafiklerle örneklenerek anlatılmaktadır.
English The methods on forecasting plant diseases and some of the practical difficulties are explained with graphics and codes developed in the R statistical analysis and programming language.
German Die Methoden für die Vorhersage Pflanzen Krankheiten und einige der praktischen Schwierigkeiten werden erklärt, mit Grafiken und Codes entwickelt R statistische Analyse und Programmiersprache.


Keywords : Turkish R dili
English R language
German Sprache R
Turkish istatistik yöntemler
English statistical methods
German Statistische Methoden
Turkish uyarı sistemleri
English warning systems
German Warnsysteme
Turkish tahminleme
English forecasting
German Prognose
Turkish tahmin
English forecast
German Prognose


Coverage : World


Structure : Atomic


Aggregation Level : Level 1


Version : English DOI:10.1094/PHI-A-2008-0129-01.


Status : Final


Contribute : Role : Author
Date : 2008-01-29
name : Esker, P.D., A.H. Sparks, L. Campbell, Z. Guo, M. Rouse, S.D. Silwal, S. Tolos, B. Van Allen, and K.A. Garrett,
e-mail :
organization : Dept. of Plant Pathology, Kansas State University, Manhattan, KS




Identifier : Catalog : URI
Entry : http://traglor.cu.edu.tr/common/object_xml.aspx?id=985


Contribute : Role : Author
Date : 2012-03-15
name : Zeynel Cebeci
e-mail :
organization :


Metadata Schema : TrAgLor LOM AP


Language : Turkish Turkish
Format : Text


Requirements : Browser: Any
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Operating System: Multios
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Duration : Year : 0 Month : 0 Day : 0 Hour : 0 Minutes : 0


Size : bytes


Location : http://www.apsnet.org/edcenter/advanced/topics/EcologyAndEpidemiologyInR/DiseaseForecasting/Pages/default.aspx


Interactivity Type : Active


Learning Resource Type : Lesson


Interactivity Level : Medium


Semantic Density : High


Intended End User Role : Learner


Context : University Second Cycle


Typical Age Range : English 18U


Difficulty Level : Difficult


Duration : Year : 0 Month : 0 Day : 0 Hour : 0 Minutes : 0


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Cost : No


Copyright and Other Restrictions : Yes


Description : This resource is licensed under the license(CC-BY-NC-ND) Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported


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Resource : Catalog : URI
Entry :


Description :


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e-mail :
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Purpose : Discipline


Source : English AGRICOLA


Entry : Plant Diseases


Description :


Keywords :