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English Information

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Authors
# Name
1 Felipe Almeida(fvalencia@usp.br)
2 Rosa Quille(encinas@usp.br)
3 Danielle Monteiro(danimonteirodba@gmail.com)
4 Pedro Corrêa(pizzigatti@ieee.org)

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Reference
# Reference
1 Akkem, Y., Biswas, S. K., and Varanasi, A. (2023). Smart farming using artificial in- telligence: A review. Engineering Applications of Artificial Intelligence, 120:105899. https://doi.org/10.1016/j.engappai.2023.105899.
2 Anderson, K. (2005). Predicting the weather: Victorians and the science of meteorology. University of Chicago Press.
3 Buono, P., Aris, A., Plaisant, C., Khella, A., and Shneiderman, B. (2005). Interactive pattern search in time series. In Erbacher, R. F., Roberts, J. C., Grohn, M. T., and Borner, K., editors, Visualization and Data Analysis 2005, volume 5669, pages 175 – 186. International Society for Optics and Photonics, SPIE. https://doi.org/ 10.1117/12.587537.
4 Ceravolo, R., Coletta, G., Miraglia, G., and Palma, F. (2021). Statistical correlation be- tween environmental time series and data from long-term monitoring of buildings. Me- chanical Systems and Signal Processing, 152:107460. https://doi.org/10. 1016/j.ymssp.2020.107460.
5 Choi, K., Yi, J., Park, C., and Yoon, S. (2021). Deep learning for anomaly detection in time-series data: Review, analysis, and guidelines. IEEE Access, 9:120043–120065. https://doi.org/10.1109/ACCESS.2021.3107975.
6 Daipha, P. (2019). Masters of uncertainty: Weather forecasters and the quest for ground truth. University of Chicago Press.
7 Defrise, P. (1958). Petterssen, s.-introduction to meteorology. Ciel et Terre, Vol. 74, p. 472, 74:472.
8 Harrison, G. (2014). Meteorological measurements and instrumentation. John Wiley & Sons.
9 Hyndman, R. J. and Athanasopoulos, G. (2018). Forecasting: principles and practice. OTexts.
10 Ravindra, K., Rattan, P., Mor, S., and Aggarwal, A. N. (2019). Generalized additive mod- els: Building evidence of air pollution, climate change and human health. Environment International, 132. https://doi.org/10.1016/j.envint.2019.104987.
11 Tredennick, A. T., Hooker, G., Ellner, S. P., and Adler, P. B. (2021). A practical guide to selecting models for exploration, inference, and prediction in ecology. Ecology, 102(6):e03336. https://doi.org/10.1002/ecy.3336.
12 Vuckovic, M. and Schmidt, J. (2020). Visual analytics approach to comprehensive me- teorological time-series analysis. Data, 5(4). https://doi.org/10.3390/ data5040094.
13 Zhai, Z., Martínez, J. F., Beltran, V., and Martínez, N. L. (2020). Decision support systems for agriculture 4.0: Survey and challenges. Computers and Electronics in Agriculture, 170:105256. https://doi.org/10.1016/j.compag.2020.105256.