Publications

Heil K., Heinemann P., Schmidhalter U. (2018.0). Modeling the Effects of Soil Variability, Topography, and Management on the Yield of Barley. Frontiers in Environmental Science, 6(), . doi:10.3389/fenvs.2018.00146

A better understanding of processes involved in crop production as well as the use of models as tools for managing agricultural systems are main reasons for the development of growth models. During the last three decades, the complexity of models increased from simple input-output relationships to h…

Wallor E. (2018.0). A comprehensive data set demonstrating the spatial variability of soil properties and crop growth conditions at field scale. Open Data Journal for Agricultural Research, 5(), 1-10. doi:10.18174/odjar.v5i0.15888

A four-year (1999-2002) multivariable data set for one specific agricultural used field located in North Rhine-Westphalia is documented in detailed. The data set focusses on the small-scale heterogeneity of soil properties varying in the spatial and temporal dimension. Initial soil sampling was cond…

Wallor E., Kersebaum K., Ventrella D., Bindi M., Cammarano D., Coucheney E., Gaiser T., Garofalo P., Giglio L., Giola P., Hoffmann M., Iocola I., Lana M., Lewan E., Maharjan G., Moriondo M., Mula L., Nendel C., Pohankova E., Roggero P., Trnka M., Trombi G. (2018.0). The response of process-based agro-ecosystem models to within-field variability in site conditions. Field Crops Research, 228(), 1-19. doi:10.1016/j.fcr.2018.08.021

Process-oriented agro-ecosystem models are increasingly applied to assess crop management options or impacts of climate change on agricultural production, food security and ecosystem services. Thereby, the aggregation of initial soil and climate information is a widely used approach for performing s…

Wallor E., Kersebaum K., Lorenz K., Gebbers R. (2019.0). Soil state variables in space and time: first steps towards linking proximal soil sensing and process modelling. Precision Agriculture, 20(2), 313-334. doi:10.1007/s11119-018-9617-y

The benefits of process-oriented modelling for management recommendations at the field scale are constrained by high spatial variability of soil properties and lack of dense information on soil types, variability and patterns. Geo-electrical mapping provides dense information about the soil, but sen…

Maiwald M., Sumpf B., Tränkle G. (2018.0). Rapid and adjustable shifted excitation Raman difference spectroscopy using a dual‐wavelength diode laser at 785 nm. Journal of Raman Spectroscopy, 49(11), 1765-1775. doi:10.1002/jrs.5456

AbstractIn this paper, we present rapid and adjustable shifted excitation Raman difference spectroscopy (SERDS). A dual‐wavelength diode laser emitting at 785 nm is used as the excitation light source. Two laser resonators are realized in a single chip, and two distributed Bragg reflector gratings p…

Boenecke E., Lueck E., Ruehlmann J., Gruendling R., Franko U. (2018.0). Determining the within-field yield variability from seasonally changing soil conditions. Precision Agriculture, 19(4), 750-769. doi:10.1007/s11119-017-9556-z

Crop yield variations are strongly influenced by the spatial and temporal availabilities of water and nitrogen in the soil during the crop growth season. To estimate the quantities and distributions of water and nitrogen within a given soil, process-oriented soil models have often been used. These m…

Schulte-Ostermann, S., Wagner P. (2018.0). Bedarfsgerechte Grunddüngung – Düngekosten und Ertragswirkungen. Kiel, 227 – 230, : Informatik in der Land-, Forst- und Ernährungswirtschaft 38/2018.

Rühlmann, M., Büchele, D., Ostermann, M., Bald, I., Schmid, T. (2018.0). Challenges in the quantification of nutrients in soils using laser-induced breakdown spectroscopy - a case study with calcium. 146, 115-121, : .

Büchele, D., Rühlmann, M., Ostermann, M., Schmid, T. (2018.0). Entwicklung einer online-RFA Analyse zur Bestimmung von Bodennährstoffen. , : .