Proceedings
Authors
| Filter results2 paper(s) found. |
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1. UAV-Based Detection and Precision Management of Cirsium arvense: An End-to-End Workflow from Deep Learning to Variable-Rate SprayingUnmanned aerial vehicles (UAVs) combined with deep learning can enable site-specific weed management by transforming high-resolution imagery into actionable prescription maps for precision spraying. This study presents and validates an end-to-end operational workflow for detecting Cirsium arvense under real field conditions and converting detections into sprayer-compatible management zones. A 24.61 ha arable field in northwestern Hungary was surveyed using a multirotor UAV equipped with... M. László |
2. Quantitative Analysis of Sub-catchment Scale Erosion-sedimentation Dynamics in a Grassed Buffer Zone Using Hyper-resolution Soil Loss Modeling in a Hungarian Hilly Arable EnvironmentSoil erosion represents one of the most severe environmental and economic risks in arable crop production, leading to the irreversible degradation of the topsoil layer. This research aims to provide a quantitative analysis of the sediment retention capacity of a grassed buffer strip installed within an erosion rill, utilizing 1*1 m resolution soil loss modeling. The methodological base of the study was the Unit Stream Power-based Erosion Deposition (USPED) model. The application of USPED... Z. Szenek, D. Szám, C. Centeri, G. Milics, M. László |