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Can temperatures from an online weather forecast service be suitable for modelling growth stages using a CERES-Wheat type phenology model?

Lookup NU author(s): Dr Malte Launspach, Dr James Taylor



This is the authors' accepted manuscript of a conference proceedings (inc. abstract) that has been published in its final definitive form by Cambridge University Press, 2017.

For re-use rights please refer to the publisher's terms and conditions.


Weather and climate have a fundamental impact on plant development. Monitoring key observables, e.g. temperature and precipitation, is paramount for the interpretation of agricultural experiments and simulation of plant development. Whereas the presence of appropriate sensors in a research environment can be expected, the situation can be different in commercial agricultural settings. Local air temperature from online weather forecasts is investigated as a substitute for local weather station data. Hourly air temperature forecast and station data for several locations in Scotland and North East England are aggregated into daily air temperature values spanning a period of several months. Dates for key growth stages using temperatures from weather stations and weather forecast data are compared. For the examples discussed here the date differences in modelled key growth stages did not exceed 3 days indicating that temperature forecast data is suitable for farm-specific applications.

Publication metadata

Author(s): Launspach M, Taylor JA, Wilson J

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 11th European Conference on Precision Agriculture (ECPA)

Year of Conference: 2017

Pages: 684-688

Print publication date: 16/07/2017

Online publication date: 01/06/2017

Acceptance date: 06/02/2017

Date deposited: 02/08/2017

ISSN: 2040-4719

Publisher: Cambridge University Press


DOI: 10.1017/S2040470017000383

Notes: This is in the Proceedings of the 11th European Conference on Precision Agriculture

Series Title: Advances in Animal Biosciences