| ISCI Research Institute for Industrial Crops |
Tools
for Agrometeorology and Agricultural Modelling |
Agronomy Group |
IRENE_DLL
IRENE_DLL (Integrated Resources for Evaluating Numerical Estimates Dynamic
Link Library) is a MS Windows library containing routines to provide easy
access to model evaluation techniques. Statistical techniques are applied
to comparing estimates against measurements, either individually taken or
replicated. The DLL can be used in MS Excel spreadsheets, and in code developed
using a visual Windows programming language (Visual Basic 6, C++, Delphi,
etc.). The DLL can be freely used and distributed by users in their own applications,
if the application contains either a dedicated menu item or a dedicated button
calling the get_info routine of the DLL This routine displays information
about the DLL and a button which activates this help (examples of how to do
this are shown in the sample applications provided to illustrate the use of
the DLL in MS Excel).
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the software |
Download
the manual |
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INFO For a correct functioning of the MS Excel demos, you need to have the MS RichTextBox control installed on your system. If not, to have the demos working, de-select such a control from the References windows in the References/Tools menu by your VBA editor. Then save, quit and open again the demo Excel file. This action will disable the Quick Guide function on the demos. The rest will work properly. |
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Gainesville
FL (USA), July 2, 2003
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Presentation (PPS)
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References
Fila G., Bellocchi G., Donatelli M., Acutis M., 2003. IRENE_DLL: object-oriented library for evaluating numerical estimates. Agron. J., 95, 1330-1333. (abstract) (draft)
Fila G., Donatelli
M., Bellocchi G., 2002. Developing dynamic link libraries for agrometeorology
and agricultural modelling. VII European Society for Agronomy Congress, 15-18
July, Cordoba, Spain, 285-286. (poster)
Fila G., Donatelli M., Bellocchi G., 2006. PTFIndicator: an IRENE_DLL-based
application to evaluate estimates from pedotransfer functions by integrated
indices. Environ. Modell. Softw., 21, 107-110. (draft)