This repository contains the code used in my PhD project. It includes data preparation, model calibration, assimilation, evaluation and visualization strategies used. It also includes some support tables required for running simulations.
Raw data may be found in this repository.
It is worth noting that the results from my thesis have been revisited and I refer readers to the manuscripts for updated results of the project.
Oliveira, M.P.G. de, Zorzeto-Cesar, T.Q., Nóia Júnior, R. de S., Wallach, D., Asseng, S., Rodrigues, L.H.A., 2024. Uncertainty in greenhouse tomato growth models. Comput. Electron. Agric. 225, 109324. https://doi.org/10.1016/j.compag.2024.109324
Oliveira MPG de, Zorzeto-Cesar TQ, Attux RR de F, Rodrigues LHA. Can accuracy issues of low-cost sensor measurements be overcome with data assimilation?. Eng Agríc. 2023; 43(2):e20220170. https://doi.org/10.1590/1809-4430-Eng.Agric.v43n2e20220170/2023
Monique Oliveira and Luiz Rodrigues. Data assimilation in crop models: old experiences in new contexts. In: Anais do XIV Congresso Brasileiro de Agroinformática, novembro 10, 2023, Natal/RN. Porto Alegre: Sociedade Brasileira de Computação. https://doi.org/10.5753/sbiagro.2023.26539.
Monique Oliveira and Luiz Rodrigues. 2021. Monitoramento de plantas em casas de vegetação para assimilação de dados. In: Anais do XIII Congresso Brasileiro de Agroinformática, novembro 10, 2021, Evento Online, Brasil. Porto Alegre: Sociedade Brasileira de Computação, Brasil, 215-224. https://doi.org/10.5753/sbiagro.2021.18393. (In Portuguese)
OLIVEIRA, Monique Pires Gravina de. Leveraging data assimilation and monitoring data for improvement of crop growth estimates in protected environments. 2022. Ph.D. Thesis - Universidade Estadual de Campinas, Faculdade de Engenharia Agrícola, Campinas, SP. Link
Oliveira, Monique and Zorzeto-Cesar, Thais Queiroz and Nóia Júnior, Rogério and Wallach, Daniel and Asseng, Senthold and Rodrigues, Luiz Henrique Antunes, Uncertainty in Greenhouse Tomato Models. Available at SSRN: https://ssrn.com/abstract=4768703 or http://dx.doi.org/10.2139/ssrn.4768703
Oliveira, M. P. G. de, Zorzeto-Cesar, T. Q., Attux, R. R. de F., & Rodrigues, L. H. A. (2024). Kalman Filters in crop models: old experiences in new contexts. v1. In SciELO Preprints. https://doi.org/10.1590/SciELOPreprints.8033
Oliveira, M., Zorzeto-Cesar, T., Attux, R., & Rodrigues, L. H. (2023). Leveraging data from plant monitoring into crop models. v1. In SciELO Preprints. https://doi.org/10.1590/SciELOPreprints.7663
Oliveira, M., Amaro, R., Pescarini, H., & Rodrigues, L. H. (2024). Tomato plants’ growth observations obtained from multiple sources in a production-like setting. v2. In SciELO Preprints. https://doi.org/10.1590/SciELOPreprints.7667 https://doi.org/10.1590/SciELOPreprints.7667
V.04.0: Version used for: 10.1016/j.compag.2024.109324 Manuscripts revision Tag Update reason: revision process
V0.3.0: Version used for: 10.5753/sbiagro.2023.26539 (Conference paper and presentation) Manuscript submission, preprints v1 Tag Update reason: changes in plots for manuscript submission, improvement in artificial data assimilation
V0.2.0: Version used for: Manuscript submission Tag Update reason: revisited some aspects of artificial data creation and scripts related to publications.
V0.1.1: Version used for: 10.1590/1809-4430-Eng.Agric.v43n2e20220170/2023 (Journal article) Manuscript submission Tag Update reason: inclusion of script related to the publication results
V0.1.0: Version used for: 10.5753/sbiagro.2021.18393 (Conference paper) 20.500.12733/4792 (Thesis) Tag