Is this your profile?
Claim your Citation Index profile in order to display more information about you and gain access to Libraries services. Just create or connect your ORCID iD.
Create or connect your ORCID iD
Works (1)
Updated: April 5th, 2024 10:48
2017 journal article
Predicting the risk of cucurbit downy mildew in the eastern United States using an integrated aerobiological model
INTERNATIONAL JOURNAL OF BIOMETEOROLOGY, 62(4), 655–668.
author keywords: Aerobiological modeling system; Cucurbit downy mildew; Risk prediction; True skill statistic; ROC analysis; Spore deposition
MeSH headings : Cucurbitaceae; Forecasting; Models, Theoretical; Mycoses; Oomycetes; Plant Diseases; Rain / microbiology; Risk; United States
TL;DR:
The disease forecasting system had an acceptable to good performance in predicting the risk of cucurbit downy mildew outbreak in the eastern United States.
(via Semantic Scholar)
UN Sustainable Development Goal Categories
2. Zero Hunger
(OpenAlex)
Sources: Web Of Science, NC State University Libraries, ORCID
Added: August 6, 2018
Citation Index includes data from a number of different sources. If you have questions about the sources of data in the Citation Index or need a set of data which is free to re-distribute, please contact us.
Certain data included herein are derived from the Web of Science© and InCites© (2024) of Clarivate Analytics. All rights reserved. You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.