Auflistung nach Schlagwort "potato production"
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- KonferenzbeitragReview of agricultural field robots and their applicability in potato cultivation(43. GIL-Jahrestagung, Resiliente Agri-Food-Systeme, 2023) Käthner, Jana; Koch, Karuna; Höfner, Nora; Dworak, Volker; Shokrian Zeini, Mostafa; Shamshiri; Redmond; Figurski, Woj; Weltzien, CorneliaThis paper lists the potential, challenges and requirements of autonomous field robots for potato production. It presents an overview of existing autonomous field robots in arable farming, evaluates their suitability for potato production based on literature findings and gives an outlook on possible future solutions. The analysis was confined to the European market. In summary, 17 commercially available field robots, 4 robots in the test phase and 14 prototypes in the development phase were identified. The minimum requirements identified for field robots to enable their application in a potato field are primarily geometric due to the specific ridge structure and the habitus of potato plants. As a result, the field robot must have a track width of 0.75 m or a multiple of this dimension. In addition, a ground clearance between 0.35 m and 0.8 m must be ensured. The evaluation showed that two of the identified market-ready robot systems fulfilled the identified minimum requirements.
- KonferenzbeitragSoil moisture simulations for a sustainable irrigation management(44. GIL - Jahrestagung, Biodiversität fördern durch digitale Landwirtschaft, 2024) Wenzel, Jan Lukas; Conrad, Christopher; Pöhlitz, JuliaAccurate estimations of crop water requirements accounting for spatial heterogeneous soil properties are recognized as a major contribution towards a sustainable agricultural irrigation management. Crop-specific irrigation demand estimations may be improved by physics-based soil moisture models, although spatially distributed soil moisture simulations strongly rely on profound assessments of the model accuracy and applicability under open-field conditions. Hence, this study aims to investigate simulated root-zone soil moisture dynamics on a variably irrigated potato field provided by the HYDRUS-1D model and its suitability for irrigation management purposes in terms of input parameter requirements and applicability on larger, heterogeneous sites. All simulations were highly accurate (RMSE = 0.018 m3 m-3), when compared to in-situ measurements, but varied stronger in topsoil than in subsoil layers. A pixel-based approach using aggregated soil properties, phenological characteristics and meteorological conditions enables appropriate trade-offs between simulation accuracy and the parameterization effort and applicability in irrigation management.