Proceedings
Authors
| Filter results2 paper(s) found. |
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1. Sensor Fusion and Fitness-for-purpose Screening for SOC Prediction in Vis–NIR Spectral Libraries, Insights from Vis–NIR Plus XRF, Local Calibration, and MRV ThresholdsSoil organic carbon (SOC) monitoring requires analytical tools that are accurate and scalable for measurement, reporting and verification process (MRV). In practice, MRV programs also require transparent error interpretation so that sensor-based inference can be linked to decision risk under different field conditions. We assessed whether fusing X-ray fluorescence (XRF) information with vis–NIR spectra improves SOC prediction when models are trained on large spectral libraries and transferred... T. Tavares, L.A. Da Silva, E. , M.R. Cherubin |
2. Sugarcane row gaps enable the identification of critical rows for targeted interventionsDistinct patterns of sugarcane row gaps and associated plant population reduction drive the spatiotemporal variability of yield, creating a bottleneck for row prioritization in management decisions. This study tested the hypothesis that specific sugarcane rows within a field concentrate most of the linear gap lengths (LLG) and their associated economic and productive losses, consistent with the Pareto Principle. The objective was to identify rows that are critical in terms of LLG occurrence, making... E. Otavio Da Silva, J.P. Molin, R. Canal Filho, M.R. Cherubin |