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Urbina Salazar, D
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Authors
Urbina Salazar, D
Yatskul, A
Pinet, F
Dujany, A
Ugarte, C
Topics
Predictive Modeling, Phenotyping, and Digital Tools for Decision Support
Type
Oral
Year
2026
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1. Integrating Tractor-tire-tool Adjustable Parameters and UAV‑derived Soil Indices to Predict Fuel Consumption and Crop Emergence in Spring Barley Sowing

The optimization of energy use and agronomic performance in agricultural operations has become a central challenge in modern agriculture. To achieve this dual objective, farmers could adjust the machinery settings of a tractor-tire-tool system to ensure efficient resource utilization while maintaining optimal agronomic outcomes. This study was conducted as a part of the AgrEnOp project, which aims to predict fuel consumption (l/ha) and crop emergence (plant/m2) based on operator-adjustable... D. Urbina Salazar, A. Yatskul, F. Pinet, A. Dujany, C. Ugarte