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Peer-reviewed

2014  2013  2012  2011  2010  


2014

Rischbeck, P., Baresel, P., Elsayed, S., Mistele, B., Schmidhalter, U. (2014): Development of a diurnal dehydration index for spring barley phenotyping. Functional Plant Biology (published online) DOI

Rodionov, A., Pätzold, S., Welp, G., Cañada Pallares, R., Damerow, L., Amelung, W. (2014): Sensing of soil organic carbon using VISNIR spectroscopy at variable moisture and surface roughness. Soil Sci. Soc. Am. J. 78:949–957, DOI

Konanz S., Kocsányi L. and Buschmann C. (2014): Advanced multi-color fluorescence imaging system for detection of biotic and abiotic stresses in leaves. Agriculture 4/2, 79-95 DOI

Roscher, R., Herzog, K., Kunkel, A., Kicherer, A., Töpfer, R., Förstner, W. (2014): Automated Image Analysis Framework for the High-Throughput Determination of Grape-vine Berry Sizes Using Conditional Random Fields, Computers and Electronics in Agriculture vol. 100, p. 148-158

Herzog, K., Roscher, R., Wieland,M. Kicherer, A., Läbe, T., Förstner, W., Kuhlmann, H., Töpfer, R. (2014): Initial Steps for High-Throughput Phenotyping in Vineyards, VITIS vol. 53 no.1, p.1-8

Burkart, A.; Cogliati, S.; Schickling, A.; Rascher, U. (2014): A Novel UAV-Based Ultra-Light Weight Spectrometer for Field Spectroscopy, Sensors Journal, IEEE , vol.14, no.1, p.62-67

Paulus, S., Eichert, T., Goldbach, H., Kuhlmann, H. (2014): Limits of Active Laser Triangulation as an Instrument for High Precision Plant Imaging. Sensors, 14, 2489-2509, DOI

Kipp, S., Mistele, B., Baresel, P., Schmidhalter, U. (2014): High-throughput phenotyping early plant vigour of winter wheat. European Journal of Agronomy, 52, p. 271-278. DOI

Kipp, S., Mistele, B., Schmidhalter, U. (2014): The performance of active spectral reflectance sensors as influenced by measuring distance, device temperature and light intensity. Computers and Electronics in Agriculture, 100, p. 24-33.

2013

Kipp,S., Mistele, B., Schmidthalter, U. (2013): Identification of stay-green and early senescence phenotypes in high-yielding winter wheat, and their relationship to grain yield and grain protein concentration using high-throughput phenotyping techniques. Functional Plant Biology 41 (3), p. 227-235. DOI

Erdle, K., Mistele, B., Schmidhalter, U. (2013): Spectral high-throughput assessments of phenotypic differences in biomass and nitrogen partitioning during grain filling of wheat under high yielding Western European conditions. Field Crops Research, 141, p. 16-21.

Erdle, K., Mistele, B., Schmidhalter, U. (2013): Spectral assessments of phenotypic differences in spike development during grain filling affected by varying N supply in wheat. Journal of Plant Nutrition and Soil Science, 6, p. 952-963.

Heil, K., Schmidhalter, U. (2013): Using discriminant analysis and logistic regression in mapping quaternary sediments International Association for Mathematical Geosciences DOI 10.1007/s11004-013-9486-x (published online)

Winterhalter, L., Mistele, B., Schmidhalter, U. (2013): Evaluation of active and passive sensor systems in the field to phenotype maize hybrids with high-throughput. Field Crops Research, 154, p. 236-245.

2012

Heil, K., Schmidhalter, U. (2012): Characterisation of soil texture variability using the apparent soil electrical conductivity at a highly variable site. Computers & Geosciences, 39, p. 98-110.

Fiorani, F., Rascher, U., Jahnke, S. & Schurr, U. (2012): Imaging plant dynamics in heterogenic environments. Current Opinion in Biotechnology, 23 (2), p. 227-235. DOI

Hbirkou, C., Pätzold, S., Mahlein, A.-K., Welp, G. (2012): Airborne hyperspectral imaging of spatial soil carbon heterogeneity at the field-scale. Geoderma 175-176, 21-28. DOI

Hillnhütter, C., Mahlein, A.-K., Sikora, R.A., Oerke, E.-C. (2012): Use of imaging spectroscopy to discriminate symptoms caused by Heterodera schachtii and Rhizoctonia solani on sugar beet. Precision agriculture, 13 (1), p. 17-32. DOI

Mahlein, A.-K., Oerke, E.-C., Steiner, U., Dehne, H.-W. (2012): Recent advances in sensing plant diseases for precision crop protection. Europe Journal of Plant Pathology ,133, p. 197-209. DOI

Mahlein, A.-K., Steiner, U., Hillnhütter, C., Dehne, H.-W., Oerke, E.-C. (2012): Hyperspectral imaging for small-scale analysis of symptoms caused by different sugar beet diseases. Plant methods, 8 (3), DOI

Peveling-Oberhag, C., Schulze-Lammers, P. (2012): Ultra-Breitband RADAR-Sensor zur nicht destruktiven Analyse von Speicherwurzeln, Landtechnik (Agricultural Engineering) 67 (2), p. 102-105.

Roscher, R., Waske, B., Förstner, W. (2012): Incremental Import Vector Machines for Classifying Hyperspectral Data, Geoscience and Remote Sensing, IEEE Transactions on Geoscience and Remote Sensing, Volume: 50 (9), p. 1-11. DOI

2011

Elsayed, M.E.S., Mistele, B., Schmidhalter, U. (2011): Can changes in leaf water potential be assessed spectrally? Funtional Plant Biology, 38, p. 523-533. DOI

Erdle, K., Mistele, B., Schmidhalter, U. (2011): Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars. Field Crops Research, 124, p.74-84. DOI

Erdle, K.; Mistele, B.; Schmidhalter, U. (2011): Wer kann was? Aktive und passive Spektralsensoren im Pflanzenbau und ihre Unterschiede in der Differenzierung von Biomasseparametern bei Weizen. VDLUFA-Schriftenreihe 67, Kongressband 2011, p.210-218

Hillnhütter, C., Sikora, R.A., Oerke E.-C., van Dusschoten, D. (2011): Nuclear magnetic resonance: A tool for imaging belowground damage caused by Heterodera schachtii and Rhizoctonia solani on sugar beet. Journal of Experimental Botany, 63, p. 319-327. DOI

Hillnhütter, C., Mahlein, A.-K., Sikora, R.A., Oerke, E.-C. (2011): Remote sensing to detect plant stress induced by Heterodera schachtii and Rhizoctonia solani in sugar beet fields. Field Crops Research, 122, p. 70-77. DOI

Rascher, U., Blossfeld, S., Fiorani, F., Jahnke, S., Jansen, M., Kuhn, A.J., Matsubara, S., Märtin, L.L.A., Merchant, A., Metzner, R., Müller-Linow, M., Nagel, K.A., Pieruschka, R., Pinto, F., Schreiber, C.M., Temperton, V.M., Thorpe, M.R., van Dusschoten, D., van Volkenburgh, E., Windt, C.W. & Schurr, U. (2011): Non-invasive approaches for phenotyping of enhanced performance traits in bean. Functional Plant Biology, 38 (12), p. 968-983. DOI

Rascher, U. et.al. (2011) Non-invasive approaches for phenotyping of enhanced performance traits in bean. Functional Plant Biology, 38 (12), p. 968-983.
DOI

Römer, C., Bürling, K., Hunsche, M., Rumpf, T., Noga, G., Plümer, L. (2011). Robust Fitting of Fluorescence Spectra for Presymptomatic Wheat Leaf Rust Detection with Support Vector Machines. Computers and Electronics in Agriculture, 79 (1), p. 180-188.
DOI

Rumpf, M. and Wirth, B. (2011): Variational methods in shape analysis. In: Scherzer, O. (editor). Handbook of Mathematical Methods in Imaging. p.1363-1401. Springer. DOI

Rumpf, M. and Wirth, B. (2011): An elasticity-based covariance analysis of shapes. International Journal of Computer Vision, 92(3), p. 281-295.
DOI

Wirth, B., Bar, L., Rumpf, M., Sapiro, G. (2011). A continuum mechanical approach to geodesics in shape space. IJCV Rumpf and Wirth (2011). An elasticity-based covariance analysis of shapes. International Journal of Computer Vision, Volume 93 (3), p. 293-318.
DOI

2010

Mahlein, A.-K., Steiner, U., Dehne, H.-W., Oerke, E.-C. (2010): Spectral signatures of sugar beet leaves for the detection and differentation of diseases. Precision Agriculture, 11, p. 413-431. DOI

Rumpf, T., Mahlein, A.-K., Steiner, U., Oerke, E.-C., Dehne, H.-W., Plümer, L. (2010): Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance. Computers and Electronics in Agriculture, 74, p. 91-99. DOI

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