145 citations · 172 across the 7 of their papers we have counts for
3 papers · 1 filter
A Comprehensive Modeling Approach for Crop Yield Forecasts using AI-based Methods and Crop Simulation Models
Renato Luiz de Freitas Cunha, Bruno Silva, Priscilla Barreira Avegliano
Numerous solutions for yield estimation are either based on data-driven models, or on crop-simulation models (CSMs). Researchers tend to build data-driven models using nationwide c…
Predicting Account Receivables with Machine Learning
Ana Paula Appel, Gabriel Louzada Malfatti, Renato Luiz de Freitas Cunha +2
Being able to predict when invoices will be paid is valuable in multiple industries and supports decision-making processes in most financial workflows. However, due to the complexi…
DeepDownscale: a Deep Learning Strategy for High-Resolution Weather Forecast
Eduardo R. Rodrigues, Igor Oliveira, Renato L. F. Cunha +1
Running high-resolution physical models is computationally expensive and essential for many disciplines. Agriculture, transportation, and energy are sectors that depend on high-res…