Proceedings
Authors
| Filter results3 paper(s) found. |
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1. Economic and Ecological Performance and Farm-level Adoption of Market-available Tools for Variable-rate Nitrogen Management in a Region of Small-to-medium-scale AgricultureThe proposed contribution combines the results of extensive multi-year field trials on variable rate-nitrogen fertilization (VRN) of winter wheat with the results of a series of farmer surveys, and findings drawn from a government investment subsidy program. All three data sources (field trials, surveys, investment subsidy program) cover roughly the same period and agricultural area. The field trials were conducted from 2023 to 2025, the surveys in 2020, 2022, and 2025, and data on the investment... M. Gandorfer, B. Vinzent, J. Pfrombeck, J. Garnitz, F. Maidl |
2. Farm-level Economic Viability Site-specific Weed Management (SSWM)Background: Site-specific weed management (SSWM) is promoted as a strategy to reduce herbicide inputs without compromising crop yield. Despite rapid advances in offline and online AI-based weed mapping, the farm-level economic viability of SSWM under real-world weed patchiness and imperfect detection remains uncertain. Methods: A grid-based (1x1m, 50x50cm and 25x25cm) economic decision model for SSWM was developed and evaluated using 31 empirical weed... M. Gandorfer, J. Pfrombeck, V. Pitsyk, D. Pannell |
3. A Machine Learning Framework for Automated Anomaly Detection in Precision Agriculture Geospatial DataModern precision agriculture relies on the analysis of geospatial data generated by a wide range of equipment and sensors. While these datasets are foundational to data-driven management practices, they are often affected by inaccuracies arising from various sources. Existing filter systems, such as Yield Editor and Map Filter, that implement operational (e.g., abrupt changes in speed, speed limits, and removal of maneuvers), global statistical (e.g., observations that are inconsistent with the... Z.C. Komarnisky, F. Hoffmann Silva Karp |