Proceedings

Find matching any: Reset
Pereira de Morais, E
Camolesi, A.R
Add filter to result:
Authors
Zonfrilli, L.E
Camolesi, A.R
Canata, T
de Souza Salles, E
Souza, C
Pereira de Morais, E
Filho, O
Topics
Artificial Intelligence, Big Data, and Advanced Analytics in Agriculture
Digital Solutions for Soil Health, Water Quality, and Conservation Practices
Type
Oral
Poster
Year
2026
Home » Authors » Results

Authors

Filter results2 paper(s) found.

1. Impact of Telemetry Data Preprocessing on the Accuracy of Fuel Consumption Predictive Models in Heavy-Duty Truck Transport of Sugarcane Stalks

Fuel consumption efficiency in biomass transport is a determinant factor for the sustainability of agribusiness. However, agricultural machinery telemetry data present intrinsic challenges, such as onboard sensor noise and inconsistencies. This study aimed to demonstrate that meticulous data preprocessing is more relevant than algorithmic complexity in achieving high-performance predictive models. The raw dataset contained 43,112 trips by trucks responsible for transporting sugarcane stalks from... L.E. Zonfrilli, A.R. Camolesi, T. Canata

2. Spatial Distribution of the Visual Evaluation of Soil Structure in a Coffee-growing Area

Coffee production has a significant socioeconomic impact in Brazil, requiring efficient and technological management practices to ensure high yields and soil conservation. In this context, assessing soil physical quality is indispensable, and the Visual Evaluation of Soil Structure (VESS) methodology is a rapid, cost-effective, and easily applicable field alternative compared to traditional laboratory analyses. The objective of this study was to visually evaluate the structure of a soil cultivated... E. De Souza Salles, C. Souza, E. Pereira De Morais, O. Filho