NDLI: Forecasting disease with 10-year optimized models: Moving toward new digital datasets

Content Provider	IEEE Xplore Digital Library
Author	Baker, K.M. Lake, T. Roehsner, P. Schrantz, K.
Copyright Year	2012
Description	Author affiliation: Department of Geography, Western Michigan University, Kalamazoo, MI, USA (Baker, K.M.; Lake, T.; Roehsner, P.; Schrantz, K.)
Abstract	As the pace of data availability and access to cyberinfrastructure increases, weather data inputs to practical application models have gone from point data to raster grids of varying spatial and temporal resolution. Certainly there is a benefit to widespread access of data, but transforming models developed at point locations to raster datasets is not trivial. In addition, dramatic improvements can be made to models when an extended dataset is available for testing and validation, although this is not always possible in an era of quickly changing datasets and modeling techniques. This paper examines opportunities to decrease crop disease forecasting error with longer data archives. Potato late blight in the Great Lakes region of the US is used as a test case. Model accuracy increased dramatically, especially on days conducive to disease, as more data became available and a greater familiarity with the dataset was achieved. Training and validation error fluctuated as a greater data archive became available, reinforcing the need for forecasters to better understand intraseasonal and interannual cycles that impact the success of long term agroecosystem model implementations.
Starting Page	1
Ending Page	4
File Size	218264
Page Count	4
File Format	PDF
ISBN	9781467324953
e-ISBN	9781467324960
e-ISBN	9781467324946
DOI	10.1109/Agro-Geoinformatics.2012.6311678
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-08-02
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Accuracy Disease Weather forecasting Predictive models Data models Agriculture Forecasting Diseases Decision support
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in