Operational seasonal forecasting of crop performance
Article
Article Title | Operational seasonal forecasting of crop performance |
---|---|
ERA Journal ID | 2106 |
Article Category | Article |
Authors | Stone, Roger C. (Author) and Meinke, Holger (Author) |
Journal Title | Philosophical Transactions of the Royal Society B: Biological Sciences |
Journal Citation | 360 (1463), pp. 2109-2124 |
Number of Pages | 16 |
Year | 2005 |
Place of Publication | London. UK |
ISSN | 0962-8436 |
1471-2970 | |
Digital Object Identifier (DOI) | https://doi.org/10.1098/rstb.2005.1753 |
Web Address (URL) | http://www.journals.royalsoc.ac.uk/content/3404523093438p51/fulltext.pdf |
Abstract | Integrated, interdisciplinary crop performance forecasting systems, linked with appropriate decision and discussion support tools, could substantially improve operational decision making in agricultural management. Recent developments in connecting numerical weather prediction models and general circulation models with quantitative crop growth models offer the potential for development of |
Keywords | operational seasonal forecasting; simulation modelling; crop management systems; decision-making systems; interdisciplinary approaches |
ANZSRC Field of Research 2020 | 370904. Palaeoclimatology |
370202. Climatology | |
300402. Agro-ecosystem function and prediction | |
Public Notes | Output from paper and associated Royal Society conference provided key input into the subsequent meeting of the 'G8 Summit, Gleneagles, Scotland, 2005. Deposited in accordance with copyright policy of publisher. Please use the published version at the above URL |
Byline Affiliations | Department of Biological and Physical Sciences |
Department of Primary Industries, Queensland |
https://research.usq.edu.au/item/9y3wv/operational-seasonal-forecasting-of-crop-performance
Download files
2010
total views273
total downloads5
views this month0
downloads this month