| Use this URL to cite or link to this record in EThOS: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.493292 |
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| Title: | Spatial/temporal modelling of crop disease data using high-dimensional regression | ||||
| Author: | Luo, Weiqi |
ISNI:
0000 0001 3614 1006
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| Awarding Body: | University of Leeds | ||||
| Current Institution: | University of Leeds | ||||
| Date of Award: | 2008 | ||||
| Availability of Full Text: |
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| Abstract: | |||||
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Septoria tritici is one of the most serious foliar diseases of winter wheat across England and Wales, causing considerable reduction in yield quality and production. There are increasing pressures to control such a disease using disease forecasting systems sociated with various meteorological factors.
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| Supervisor: | Not available | Sponsor: | Not available | ||
| Qualification Name: | Thesis (Ph.D.) | Qualification Level: | Doctoral | ||
| EThOS ID: | uk.bl.ethos.493292 | DOI: | Not available | ||
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