DSSAT-Lite: a web-based application for running crop models and analyzing results from DSSAT-CSM
Resumo
DSSAT é um conjunto de ferramentas que facilita a criação e gerenciamento de arquivos de experimentos, solo e clima. Suas ferramentas foram construídas utilizando linguagens de programação como Visual Basic e Delphi, que se tornam difíceis de serem executadas remotamente ou na nuvem. Neste trabalho, apresentamos o DSSAT-Lite, uma aplicação baseada na web, projetada para facilitar a simulação de modelos DSSAT-CSM sobre HTTP. Ele fornece ferramentas de simulação e visualização e integração com software de terceiros altamente otimizado para o processamento de arquivos DSSAT. As camadas de abstração permitem uma metodologia padronizada para ler vários arquivos DSSAT em uma estrutura de dados muito bem formatada. Estas características permitiram ao DSSAT-Lite executar simulações remotas, especificamente usando dispositivos móveis e navegadores web.
Palavras-chave:
Simulation models, Decision making, Cross-platform tools, Web technologies
Referências
Crockford, D. (2006). The application/json media type for javascript object notation (json). RFC, 4627:1–10. DOI: https://doi.org/10.17487/RFC4627. https://doi.org/10.17487/RFC4627
Faria, R. T. d. and Bowen, W. T. (2003). Evaluation of dssat soil-water balance module under cropped and bare soil conditions. Brazilian Archives of Biology and Technology, 46(4):489–498. DOI: https://doi.org/10.1590/S1516-89132003000400001
Fielding, R. T. and Taylor, R. N. (2000). Architectural styles and the design of network-based software architectures, volume 7. University of California, Irvine Doctoral dissertation.
Hoogenboom, G., Porter, C., Boote, K., Shelia, V., Wilkens, P., Singh, U., White, J., Asseng, S., Lizaso, J., Moreno, L., Pavan, W., Ogoshi, R., Hunt, L., Tsuji, G., , and Jones, J. (2019a). The dssat crop modeling ecosystem. In Boote, K., editor, Advances in Crop Modeling for a Sustainable Agriculture, pages 173–216. Burleigh Dodds Science Publishing. DOI: http://dx.doi.org/10.19103/AS.2019.0061.10.
Hoogenboom, G., Porter, C., Boote, K., Shelia, V., Wilkens, P., Singh, U., White, J., Asseng, S., Lizaso, J., Moreno, L., Pavan, W., Ogoshi, R., Hunt, L., Tsuji, G., and Jones, J. (2019b). The dssat crop modeling ecosystem. In Boote, K., editor, Advances in Crop Modeling for a Sustainable Agriculture, pages 173–216. Burleigh Dodds Science Publishing. DOI: http://dx.doi.org/10.19103/AS.2019.0061.10.
Jones, J., Hoogenboom, G., Porter, C., Boote, K., Batchelor, W., Hunt, L., Wilkens, P., Singh, U., Gijsman, A., and Ritchie, J. (2003). The DSSAT cropping system model. European Journal of Agronomy, 18(3):235–265. DOI: https://doi.org/10.1016/S1161-0301(02)00107-7.
Jones, J. W., Tsuji, G. Y., Hoogenboom, G., Hunt, L. A., Thornton, P. K., Wilkens, P. W., Imamura, D. T., Bowen, W. T., and Singh, U. (1998). Decision support system for agrotechnology transfer: DSSAT v3. In Tsuji, G. Y., Hoogenboom, G., and Thornton, P. K., editors, Understanding Options for Agricultural Production, pages 157–177. Springer Netherlands, Dordrecht. DOI: https://doi.org/10.1007/978-94-017-3624-4_8.
Resenes, J. A., Pavan, W., Hölbig, C. A., Fernandes, J. M. C., Shelia, V., Porter, C., and Hoogenboom, G. (2019). jDSSAT: A javascript module for dssat-csm integration. SoftwareX, 10:100271. DOI: https://doi.org/10.1016/j.softx.2019.100271.
Shahzad, F. (2017). Modern and responsive mobile-enabled web applications. Procedia Computer Science, 110:410 – 415. 14th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2017) / 12th International Conference on Future Networks and Communications (FNC 2017) / Affiliated Workshops. DOI: https://doi.org/10.1016/j.procs.2017.06.105.
Verhagen, A., Conijn, J., and Schapendonk, A. (2001). Quickscan of simulation models. Technical report, Plant Research International BV. Scientific report, Nota 130. Available at: https://edepot.wur.nl/26948..
Yang, J., Drury, C., Yang, J., Li, Z., and Hoogenboom, G. (2014). Easygrapher: software for data visualization and statistical evaluation of dssat cropping system model and the canb model. International Journal of Computer Theory and Engineering, 6(3):210. DOI: https://doi.org/10.7763/IJCTE.2014.V6.864.
Faria, R. T. d. and Bowen, W. T. (2003). Evaluation of dssat soil-water balance module under cropped and bare soil conditions. Brazilian Archives of Biology and Technology, 46(4):489–498. DOI: https://doi.org/10.1590/S1516-89132003000400001
Fielding, R. T. and Taylor, R. N. (2000). Architectural styles and the design of network-based software architectures, volume 7. University of California, Irvine Doctoral dissertation.
Hoogenboom, G., Porter, C., Boote, K., Shelia, V., Wilkens, P., Singh, U., White, J., Asseng, S., Lizaso, J., Moreno, L., Pavan, W., Ogoshi, R., Hunt, L., Tsuji, G., , and Jones, J. (2019a). The dssat crop modeling ecosystem. In Boote, K., editor, Advances in Crop Modeling for a Sustainable Agriculture, pages 173–216. Burleigh Dodds Science Publishing. DOI: http://dx.doi.org/10.19103/AS.2019.0061.10.
Hoogenboom, G., Porter, C., Boote, K., Shelia, V., Wilkens, P., Singh, U., White, J., Asseng, S., Lizaso, J., Moreno, L., Pavan, W., Ogoshi, R., Hunt, L., Tsuji, G., and Jones, J. (2019b). The dssat crop modeling ecosystem. In Boote, K., editor, Advances in Crop Modeling for a Sustainable Agriculture, pages 173–216. Burleigh Dodds Science Publishing. DOI: http://dx.doi.org/10.19103/AS.2019.0061.10.
Jones, J., Hoogenboom, G., Porter, C., Boote, K., Batchelor, W., Hunt, L., Wilkens, P., Singh, U., Gijsman, A., and Ritchie, J. (2003). The DSSAT cropping system model. European Journal of Agronomy, 18(3):235–265. DOI: https://doi.org/10.1016/S1161-0301(02)00107-7.
Jones, J. W., Tsuji, G. Y., Hoogenboom, G., Hunt, L. A., Thornton, P. K., Wilkens, P. W., Imamura, D. T., Bowen, W. T., and Singh, U. (1998). Decision support system for agrotechnology transfer: DSSAT v3. In Tsuji, G. Y., Hoogenboom, G., and Thornton, P. K., editors, Understanding Options for Agricultural Production, pages 157–177. Springer Netherlands, Dordrecht. DOI: https://doi.org/10.1007/978-94-017-3624-4_8.
Resenes, J. A., Pavan, W., Hölbig, C. A., Fernandes, J. M. C., Shelia, V., Porter, C., and Hoogenboom, G. (2019). jDSSAT: A javascript module for dssat-csm integration. SoftwareX, 10:100271. DOI: https://doi.org/10.1016/j.softx.2019.100271.
Shahzad, F. (2017). Modern and responsive mobile-enabled web applications. Procedia Computer Science, 110:410 – 415. 14th International Conference on Mobile Systems and Pervasive Computing (MobiSPC 2017) / 12th International Conference on Future Networks and Communications (FNC 2017) / Affiliated Workshops. DOI: https://doi.org/10.1016/j.procs.2017.06.105.
Verhagen, A., Conijn, J., and Schapendonk, A. (2001). Quickscan of simulation models. Technical report, Plant Research International BV. Scientific report, Nota 130. Available at: https://edepot.wur.nl/26948..
Yang, J., Drury, C., Yang, J., Li, Z., and Hoogenboom, G. (2014). Easygrapher: software for data visualization and statistical evaluation of dssat cropping system model and the canb model. International Journal of Computer Theory and Engineering, 6(3):210. DOI: https://doi.org/10.7763/IJCTE.2014.V6.864.
Publicado
10/11/2021
Como Citar
RESENES, Jonas de Abreu; HOOGENBOOM, Gerrit; ZANATTA, Alexandre Lazaretti; PAVAN, Willingthon; HOLBIG, Carlos Amaral.
DSSAT-Lite: a web-based application for running crop models and analyzing results from DSSAT-CSM. In: CONGRESSO BRASILEIRO DE AGROINFORMÁTICA (SBIAGRO), 13. , 2021, Evento Online.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2021
.
p. 90-98.
ISSN 2177-9724.
DOI: https://doi.org/10.5753/sbiagro.2021.18379.
