19 citations · 35 across the 7 of their papers we have counts for
7 papers
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…
Context-aware Execution Migration Tool for Data Science Jupyter Notebooks on Hybrid Clouds
Renato L. F. Cunha, Lucas V. Real, Renan Souza +2
Interactive computing notebooks, such as Jupyter notebooks, have become a popular tool for developing and improving data-driven models. Such notebooks tend to be executed either in…
Estimating crop yields with remote sensing and deep learning
Renato Luiz de Freitas Cunha, Bruno Silva
Increasing the accuracy of crop yield estimates may allow improvements in the whole crop production chain, allowing farmers to better plan for harvest, and for insurers to better u…
Full Speed Ahead: 3D Spatial Database Acceleration with GPUs
Lucas C. Villa Real, Bruno Silva
Many industries rely on visual insights to support decision- making processes in their businesses. In mining, the analysis of drills and geological shapes, represented as 3D geomet…
A Scalable Machine Learning System for Pre-Season Agriculture Yield Forecast
Igor Oliveira, Renato L. F. Cunha, Bruno Silva +1
Yield forecast is essential to agriculture stakeholders and can be obtained with the use of machine learning models and data coming from multiple sources. Most solutions for yield…
JobPruner: A Machine Learning Assistant for Exploring Parameter Spaces in HPC Applications
Bruno Silva, Marco A. S. Netto, Renato L. F. Cunha
High Performance Computing (HPC) applications are essential for scientists and engineers to create and understand models and their properties. These professionals depend on the exe…