Proceedings
Authors
| Filter results4 paper(s) found. |
|---|
1. Influence of the Type of ANN Algorithm on Prediction of Georeferenced Sugarcane QualityOptimizing crop quality and yield is critical to the development of more sustainable agriculture on large scale. Predictive models can provide assessment of those attributes prior to harvesting using techniques of artificial intelligence to support site-specific management. The objective was to investigate the influence of ANN (Artificial Neural Network) algorithms on prediction of sugarcane quality. Brix content of sugarcane, variety CTC 2994 on second ratoon, was measured in laboratory using... T. Canata, F.P. Monachesi, O.D. Salomão, L. Rodrigues , L.E. Zonfrilli, H.C. De La Cruz, P.F. De Mello |
2. Impact of Telemetry Data Preprocessing on the Accuracy of Fuel Consumption Predictive Models in Heavy-Duty Truck Transport of Sugarcane StalksFuel 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 |
3. Spatial Variability in Mechanized Coffee Harvesting at Two Travel SpeedsWithin the scope of Precision Agriculture (PA), monitoring the spatial variability of mechanized operations is a strategy for improving operational efficiency in coffee plantations. The evaluation of mechanized harvesting should consider, in addition to the harvested volume, the proportion of coffee effectively detached in relation to fallen coffee (FC) and remaining coffee (RC), variables directly linked to operational efficiency. Harvesting was carried out at Mariano Farm, in Poços de... N.A. Zimermam, R.P. Pereira Da Silva, L.E. Zonfrilli, A. Andrade Da Silva, T.M. De Oliveira |
4. Alternative Method for Measuring Fuel Consumption in Agricultural Machinery Using Arduino and Flow SensorsMonitoring fuel consumption in agricultural machinery is a strategic component of precision agriculture, as it is directly associated with operational efficiency, cost reduction, and the mitigation of CO₂ emissions. Despite technological advances in agricultural tractors, most machines, including recent models, do not feature dedicated sensors for direct fuel flow measurement, relying instead on visual fuel level indicators or estimates based on engine parameters, which limits the accuracy of... R. De Souza Silva, L.E. Zonfrilli, A. Andrade Da Silva, R.P. Silva, A.D. Carreira |