Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.494982
Title: On the development and assessment of mechanistic crop simulation models
Author: Lawless, Conor
Awarding Body: UNIVERSITY OF READING
Current Institution: University of Reading
Date of Award: 2005
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Abstract:
Mechanistic crop simulation models predict crop growth and development in response to different environments, cultivar grown, and agricultural inputs made. They are mathematical descriptions of crop processes at spatial and temporal scales appropriate to the problem they address, such models are indispensable for exploring scenarios which would be prohibitively costly or time-consuming to analyse directly. Assessment of model predictive skill is an integral part of model development which should include model validation: the comparison of measured and simulated data, validation can be used to test hypotheses about the mechanisms of plant growth and development, since a valid model demonstrates that the mechanisms it contains are justified.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.494982  DOI: Not available
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