jDSSAT: A JavaScript Module for DSSAT-CSM integration.

The DSSAT is a collection of computer programs and tools integrated into a single software package inorder to facilitate the application of crop simulation models in research and decision making. The DSSAT Shell, an user interface program, enables users to easily select and use any of the DSSAT components. It reads text files, both input and output with fixed width format, to provide informationto the users and to be able to run the models. The logic to read DSSAT files and process theinformationtodisplaytotheuserreliesontheShellitselfandcannotbereusablebyanyothersystem,which makes it harder to implement alternatives for the DSSAT Shell since there are no frame works available that implements the complexity of processing DSSAT files. The DSSAT tools were built using old programming technologies such Visual Basic which is in end-of-life support and Delphi, these technologies should be replaced for a modern and standardized software development approach for abetter maintainability. Besides, these tools are standalone and they do not share code which increases the effort to maintain them. This work presents the jDSSAT, a multiplatform JavaScript module. Thej DSSAT provides a standard and reusable approach for reading and processing DSSAT files. Throughthis approach, we isolate the complexity of processing DSSAT files to allow DSSAT integration on anyenvironment. It also integrates with DSSAT-CSM to make it easier to run DSSAT models in Linux,Windows and MacOS. As a result, we present a multiplatform user interface prototype created to run DSSAT crop models using the main feature sof the jDSSAT. Also,the integration with the Renvironment that expands the possibilities of the DSSAT integration.

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Bibliographic Details
Main Authors: RESENES, J. de A., PAVAN, W., HÖLBIG, C. A., FERNANDES, J. M. C., SHELIA, V., PORTER, C., HOOGENBOOM, G.
Other Authors: Jonas de Abreu Resenes, Graduate Program in Applied Computing, University of Passo Fundo, Brazil; Willingthon Pavan, Graduate Program in Applied Computing, University of Passo Fundo, Brazil; Carlos Amaral Hölbig, Graduate Program in Applied Computing, University of Passo Fundo, Brazil; JOSE MAURICIO CUNHA FERNANDES, CNPT; Vakhtang Shelia, Agricultural and Biological Engineering, University of Florida, Gainesville, FL, USA; Cheryl Porter, Agricultural and Biological Engineering, University of Florida, Gainesville, FL, USA; Gerrit Hoogenboom, Agricultural and Biological Engineering, University of Florida, Gainesville, FL, USA.
Format: Artigo de periódico biblioteca
Language:English
eng
Published: 2020-01-29
Subjects:DSSAT, Crop simulation, JavaScript,
Online Access:http://www.alice.cnptia.embrapa.br/alice/handle/doc/1119504
https://doi.org/10.1016/j.softx.2019.100271
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