I4S - Integrated System for Site-Specific Soil Fertility Management

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Publications

2020

  • Falconnier, G., Corbeels, M., Boote, K.J., Nendel, C., Ibrahim, E.S., Kamali, B., Kersebaum, K.C. et al. (2020). Modelling climate change impacts on maize yields under low nitrogen input conditions in sub-Saharan Africa. Global Change Biology 26 (10), 5942-5964.
  • Groh, J., Diamantopoulos, E., Duan, X., Ewert, F., Herbst, M., Kamali, B., Kersebaum, K.C., …, Wallor, E. et al. (2020). Crop growth and soil water fluxes at erosion-affected arable sites: Using weighing lysimeter data for model inter-comparison. Vadose Zone Journal 19 (1) 
  • Heil, K.; Lehner, A.; Schmidhalter, U. (2020). Influence of Climate Conditions on the Temporal Development of Wheat Yields in a Long-Term Experiment in an Area with Pleistocene Loess. Climate MDPI, 8(9)
  • Pätzold, S., Leenen, M., Frizen, P., Heggemann, T., Wagner, P., Rodionov, A. (2020): Predicting plant available phosphorus using infrared spectroscopy with consideration for future mobile sensing applications in precision farming. Precision Agriculture 21, 4, 737-761.
  • Pätzold, S., Leenen, M., Heggemann, T. (2020). Proximal mobile gamma spectrometry as tool for precision farming and field experimentation. Soil Systems 4 (2), 31.
  • Strobbia, P., Odion, R.A., Maiwald, M., Sumpf, B., Vo-Dinh T. (2020), Direct SERDS sensing of molecular biomarkers in plants under field conditions, Anal. Bioanal. Chem., vol. 412, no. 14, pp. 3457-3466.
  • Techen, A.; Helming, K.; Brüggemann, N.; Veldkamp, E.; Reinhold-Hurek, B.; Lorenz, M.; Bartke, S.; Heinrich, U.; Amelung, W.; Augustin, K.; Boy, J.; Corre, M.; Duttmann, R.; Gebbers, R.; Gentsch, N.; Grosch, R.; Guggenberger, G.; Kern, J.; Kiese, R.; Kuhwald, M.; Leinweber, P.; Schloter, M.; Wiesmeier, M.; Winkelmann, T.; Vogel, H. (2020): Soil research challenges in response to emerging agricultural soil management practices. Advances in Agronomy, 161, 179-240
  • Theurer, L.S., Maiwald, M., Sumpf, B., Hofmann, M.R. (2020), Shifted excitation Raman difference spectroscopy: A promising tool for the investigation of soil. Eur. J. Soil Sci.
  • Vogel, S.; Bönecke, E.; Kling, C.; Kramer, E.; Lück, K.; Philipp, G.; Rühlmann, J.; Gebbers, R. (2020): Base Neutralizing Capacity of Agricultural Soils in a Quaternary Landscape of North-East Germany and its Relationship to Best Management Practices in Lime Requirement Determination. Agronomy, 877, 1-19
  • Yin, X., Kersebaum, K.C., et al. (2020): Uncertainties in simulating N uptake, net N mineralization, soil mineral N and N leaching in European crop rotations using process-based models. Field Crops Research 255, 107863.
  • Vrábel, J., Képeš, E., Duponchel, L., Motto-Ros, V., Fabre, C., Connemann, S., Schreckenberg, F., Prasse, P., Riebe, D., Junjuri, R., Gundawar, M. K., Tan, X., Pořízka, P., Kaiser, J. (2020). Classification of challenging Laser-Induced Breakdown Spectroscopy soil sample data - EMSLIBS contest. Spectrochim. Acta, Part B 2020, 169, 105872
  • Kersebaum K.C., Wallor E. (2020): Crop growth and soil water fluxes at erosion-affected arable sites: A model inter-comparison based on weighing-lysimeter observations EGU General Assembly 2020 – Virtual Conference, 4-8 May 2020
  • Kersebaum K.C., Schulz S., Wallor E. (2020): Site specific impacts of climate change on crop rotations and their management in Brandenburg/Germany. EGU General Assembly 2020 – Virtual Conference, 4-8 May 2020
  • Sumpf, B. (2020), High-brightness wavelength stabilized diode lasers for sensor systems and non-linear frequency conversion, Conf. on Lasers and Electro-Optics (CLEO 2020), OSA Technical Digest, Electronic pp. AF3I.1.
  • Maiwald, M., Sumpf, B. (2020), Improving Raman spectroscopy using diode lasers at 785 nm for shifted excitation Raman difference spectroscopy, Proc. SPIE 11257, Photonics West, San Francisco, USA, Feb 1-6, 1125708.

2019

 

  • Büchele, D., Chao, M., Ostermann, M., Bald, I. (2019), Multivariate chemometrics as a key tool for prediction of K and Fe in a diverse German agricultural soil-set using EDXRF, Scientific Reports, 9, 17588
  • Heil, K.; Schmidhalter U. (2019). Theory and Guidelines for the Application of the Geophysical Sensor EM38. Sensors MDPI. 19(19)
  • Leenen, M., Welp, G., Gebbers, R., Pätzold, S. (2019). Rapid determination of lime requirement by mid-infrared spectroscopy: A promising approach for precision agriculture. Journal of Plant Nutrition and Soil Science, 182, 953-963
  • Riebe, D.; Brinkmann, P.; Beitz, T. Löhmannsröben, H.-G.; Gebbers, R. (2019): Application of Laser-induced breakdown spectroscopy for proximal soil sensing in precision agriculture. Sensors 19(23), 5244
  • Stella, T., Mouratiadou, I., Gaiser, T., Berg-Mohnicke, M., Wallor, E., Ewert, F., Nendel, C. (2019). Estimating the contribution of crop residue management to soil organic carbon conservation. Environmental Research Letters 14, 094008.
  • Wallor, E., Kersebaum, K.C., Gebbers, R. (2019). Soil state variables in space and time: First steps towards linking proximal soil sensing and process modelling. Precision Agriculture 20, 313-334.
  • Wallor, E., Kersebaum, K.-C., Lorenz, K., Gebbers, R. (2019) Soil state variables in space and time: first steps towards linking proximal soil sensing and process modelling. Precision Agriculture 20, 2, 313-334.
  • Pätzold S., Heggemann T., Welp G., Leenen M. (2019). Small plot field experiments and proximal soil sensing (gamma and mid-infrared spectroscopy) provide reciprocal services. 12th European Conference on Precision Agriculture, July 8-11, Montpellier, France.
  • Pätzold, S., Heggemann, T., Leenen, M., Welp, G. (2019). On-the-Go Gamma-Ray Spectrometry: Highly Resolved Texture Information for Soil Mapping, Precision Farming, and Field Experimentation.  13th Pedometrics Conference 2019, 2-6 June 2019, Guelph (ON), Canada.
  • Sumpf, B., Fricke, J., Ginolas, A., Maaßdorf, A., Maiwald, M., Müller, A., Tawfieq, M., Theurer, L.S., Vu, T.N., Wenzel, H. (2019), Tunable Y-branch dual-wavelength diode lasers in the VIS and NIR range for sensor applications, Proc. SPIE 10939, Photonics West, San Francisco, USA, Feb 1-6, 1093913.
  • Sumpf, B., Müller, A., Maiwald, M. (2019), Tailored diode lasers - enabling Raman spectroscopy in the presence of disturbing fluorescence and background light, Proc. SPIE 10894, Photonics West, San Francisco, USA, Feb 1-6, 1089411.
  • Wallor, E.; Bourouah, M.; Kersebaum, K.C.; Gebbers, R. (2019): Field scale variability of plant-available nitrogen and its detectability by different soil sensing systems. European Conference on Precision Agriculture 2019, Montpellier, France
  • Wallor E., Bourouah M., Kersebaum K.C., Gebbers R. (2019): Assessing sampling strategies and soil sensors performance in the detection of field scale variability of plant-available nitrogen. 12th European Conference on Precision Agriculture – Montpellier, 8th- 11th July 2019
  • Stella T., Mouratiadou I., Gaiser T., Berg-Mohnicke M., Wallor E., Ewert F., Nendel C., Everall J. (2019): Estimating the contribution of crop residues to soil organic carbon conservation in the light of climate mitigation targets. 4 per 1000 initiative new tangible global challenges for the soil – INRA Symposium, Poitiers, 17th-20th Juny 2019
  • Wallor, E., Bourouah, M., Kersebaum, K.C., Gebbers, R. (2019). Assessing sampling strategies and soil sensors performance in the detection of field scale variability of plant-available nitrogen. Conference Proceedings Precision Agriculture`19, 571-578, Stafford, John V. (Ed.).

    2018

    • Adamchuk, V.A., Ji, W., Viscarra Rossel, R., Gebbers, R., Trembley, N. (2018). Proximal soil and plant sensing. In: Shannon, K., Sudduth, K., Clay, D.(eds.): Precision farming basics. American Society of Agronomy, Madison, WI, USA
    • Boenecke, E.; Lück, E., Rühlmann, J.; Gruendling R., Franko U. (2018). Determining the within-field yield variability from seasonally changing soil conditions. Precision Agriculture 19 (4): 750 - 769
    • Gebbers, R. (2018): Proximal soil sensing and monitoring techniques. In: Stafford, J. (ed.): Precision agriculture for sustainability. Burleigh Dodds Scientific Publishing, Cambrige, UK. pp. 29-78
    • Kersebaum, K.C., Wallor, E., Lorenz, K., Beaudoin, N., Constantin, J., Wendroth, O. (2018). Modelling cropping systems with HERMES–model capability, deficits and data requirements. In: Bridging Among Disciplines by Synthesizing Soil and Plant Processes. ASA-CSSA-SSSA Book.
    • Heil, K.; Heinemann, P.; Schmidhalter, U. (2018). Modeling the Effects of Soil Variability, Topography, and Management on the Yield of Barley. Frontiers in Environmental Science 6.
    • Wallor, E., Kersebaum, K.C. et al. (2018). The response of process-based agro-ecosystem models to within-field variability in site conditions. Field Crops Research 228, 1-19.
    • Wallor, E., Kersebaum, K.-C., Lorenz, K., Gebbers, R. (2018) 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.
    • Vogel, S.; Schröter, I.; Kling, C.; Meyer, S.; Rühlmann, J.; Kramer, E.; Gebbers, R. (2018). Using proximal soil sensors for precision liming in the Federal State of Brandenburg (Germany). BONARES 2018 Conference Berlin, Germany, Book of Abstracts.

    2017

    • Gebbers et al. (2017). The I4S approach to site-specific soil fertility management based on proximal soil sensing. Abstract Book Pedometrics 2017, Wageningen
    • Heggemann et al. (2017). Soil texture estimation via mobile gamma-spectrometry: advanced evaluation using support vector machines. Abstract Book Pedometrics 2017, Wageningen
    • Heggemann T, Welp G, Amelung W, Angst G, Franz SO, Koszinski S, Schmidt K, Pätzold S. 2017. Proximal gamma-ray spectrometry for site-independent in situ prediction of soil texture on ten heterogeneous fields in Germany using support vector machines. Soil Till. Res. 168, 99-109.
    • Heil, K.; Schmidhalter, U. (2017). Improved evaluation of field experiments by accounting for inherent soil variability. European Journal of Agronomy. 89.
    • Käthner, J.; Ben-Gal, A.; Gebbers, R.; Peeters, A.; Herppich, W.; Zude-Sasse, M. (2017): Evaluating spatially resolved influence of soil and tree water status on quality of European plum grown in semi-humid climate. Frontiers in Plant Science. 8 (1053), 1-10
    • Koszinski, S., Heggemann, T., Ibs-Von Seht, M., Pätzold, S., Petersen, H., Steuer, A., Welp, G., Sommer, M. (2017). Gamma radiometric mapping of soil texture at field and regional scale. Abstract Book Pedometrics 2017, Wageningen, 124
    • Leenen et al. (2017): Building a national (German) mid infrared database for soils. Abstract Book Pedometrics 2017, Wageningen
    • Maiwald, M., Müller, A. Sumpf, B. (2017). In-situ shifted excitation Raman difference spectroscopy: development and demonstration of a portable sensor system at 785 nm. SPIE BiOS. SPIE Digital Library. DOI: 10.1117/12.2249059
    • Mizgirev, A., Chudy, T., Marz, M., Wagner, P., Rühlmann, J. (2017): Sensor Fusion - Evaluierung der Eignung von geoelektrischer und Gammasensorik für die indirekte Bestimmung von Phosphor im Boden. In: Ruckelshausen, A. et.al. (Hrsg.)(2017): Informatik in der Land-, Forst- und Ernährungswirtschaft 37/2017, Osnabrück, S. 105-108.
    • Ostermann, M., Schmid, T., Büchele, D., Rühlmann, M. (2016). In Echtzeit quer durchs Perioden­system - Per Online-RFA und -LIBS Elementgehalte in Böden bestimmen“, Laborpraxis 40, 12, 22-24
    • Riebe et al. (2017): Laser-induced breakdown spectroscopy (LIBS) for efficient quantitative determination of elemental plant nutrients in soils: A contribution to precision agriculture. Abstract Book Pedometrics 2017, Wageningen
    • Riebe, D. et al. (2017): Calibration-free laser induced breakdown spectroscopy for the quantitative determination of soil nutrients. EMSLIBS 2017, Pisa
    • Rühlmann, M. et al. (2017): Design of an online-analysis technique for the determination of major nutrients in soils using double-pulsed laser-induced breakdown spectroscopy. EMSLIBS 2017, Pisa
    • Wagner, P., Marz, M. (2017): Precision Farming - Direkte und indirekte Erhebung von Makronährstoffen. In: Ruckelshausen, A. et.al. (Hrsg.)(2015): Informatik in der Land-, Forst- und Ernährungswirtschaft 375/20175, Gesellschaft für Informatik e.V. (GI), Bonn, S. 153-156.
    • Wallor, E., Kersebaum, K.C., Lorenz, K., Gebbers, R. (2017). Connecting crop models with highly resolved sensor observations to improve site-specific fertilisation. Advances in Animal Biosciences: Precision Agriculture (ECPA), 8:2, pp 689–693.
    • Wallor, E., Kersebaum, K.C., Lorenz, K., Gebbers, R. (2017). A comprehensive data set demonstrating the spatial variability of soil properties and crop growth conditions at field scale. Open Data Journal for Agricultural Research.
    • Dworak, V., Mahn, B., Selbeck, J., Gebbers, R., Weltzien, C. (2017). Terahertz spectroscopy for proximal soil sensing: Particle size analysis. Sensors, 17(10), 1-23
    • Heil, K., Schmidhalter, U. (2017)The Application of EM38: Determination of soil parameters, selection of soil sampling points, use in agriculture and archaeology, MDPI Sensors
    • Kersebaum, K.C., Wallor, E., Lorenz, K., Beaudoin, N., Constantin, J., Wendroth, O. (2017). Modelling cropping systems with HERMES–model capability, deficits and data requirements. In: Bridging Among Disciplines by Synthesizing Soil and Plant Processes. ASA-CSSA-SSSA Book.
    • Wagner, P., Marz, M. (2017): Precision Farming - Langzeitversuche mit Grunddüngungsstrategie. In: Ruckelshausen, A. et.al. (Hrsg.)(2015): Informatik in der Land-, Forst- und Ernährungswirtschaft 3537/20152017, Gesellschaft für Informatik e.V. (GI), Bonn, S. 157-160.