A Generic Approach for Live Prediction of the Risk of Agricultural Field Runoff and Delivery to Watercourses: Linking Parsimonious Soil-Water-Connectivity Models With Live Weather Data Apis in Decision Tools

Comber, A orcid.org/0000-0002-3652-7846, Collins, AL, Haro-Monteagudo, D et al. (4 more authors) (2019) A Generic Approach for Live Prediction of the Risk of Agricultural Field Runoff and Delivery to Watercourses: Linking Parsimonious Soil-Water-Connectivity Models With Live Weather Data Apis in Decision Tools. Frontiers in Sustainable Food Systems, 3. 42. ISSN 2571-581X

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Authors/Creators:
Copyright, Publisher and Additional Information: © 2019 Comber, Collins, Haro-Monteagudo, Hess, Zhang, Smith and Turner. This is an open access article under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) (https://creativecommons.org/licenses/by/4.0/).
Keywords: Big Data & Analytics,; spatial data integration; pesticides; metaldehyde; web-based model; R; API (application program interface); United Kingdom
Dates:
  • Published: 4 June 2019
  • Accepted: 15 May 2019
  • Published (online): 4 June 2019
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Environment (Leeds) > School of Geography (Leeds) > Centre for Spatial Analysis & Policy (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 23 May 2019 14:53
Last Modified: 19 Jun 2019 14:50
Status: Published
Publisher: Frontiers Media S.A.
Identification Number: https://doi.org/10.3389/fsufs.2019.00042

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