Abteilung Acker- und Pflanzenbau

Redigierte Publikationen zu Precision Farming

Bukowiecki J., Rose T., Ehlers R., Kage, H. (2020): High-Throughput Prediction of Whole Season Green Area Index in Winter Wheat With an Airborne Multispectral Sensor. Front. Plant Sci., 10: 1798. doi: 10.3389/fpls.2019.01798
Pahlmann, I., Bottcher, U., Kage, H. (2017): Developing and testing an algorithm for site-specific N fertilization of winter oilseed rape. Comput. Electron. Agric. 136, 228-237.
Pahlmann, I., Böttcher, U., Kage, H. (2016): Evaluation of small site-specific N fertilization trials using uniformly shaped response curves. European Journal of Agronomy  76, 87-94.
Neukam, D., Ahrends, H., Luig, A., Manderscheid, R. and Kage H. (2016): Integrating Wheat Canopy Temperatures in Crop System Models. Agronomy, 6(1), 7.
Neukam, D., Böttcher, U. and Kage, H. (2016): Modelling Wheat Stomatal Resistance in Hourly Time Steps from Micrometeorological Variables and Soil Water Status. Journal of Agronomy and Crop Science. 202(3), 174–191, doi: 10.1111/jac.12133.
Johnen, T., Boettcher, U., Kage, H. (2014): An analysis of factors determining spatial variable grain yield of winter wheat. European Journal of Agronomy 52, 297-306.
Pahlmann, I., Böttcher, U., Sieling, K. und Kage, H. (2013): Possible impact of the Renewable Energy Directive on N fertilization intensity and yield of winter oilseed rape in different cropping systems. Biomass and Bioenergy 57, 168-179.
Johnen, T., Boettcher, U., Kage, H. (2012): Variable thermal time of the double ridge to flag leaf emergence phase improves the predictive quality of a CERES-Wheat type phenology model. Computers and Electronics in Agriculture 89:62-69.
Müller, K., Böttcher, U., Meyer-Schatz, F., Kage, H. (2008): Analysis of vegetation indices derived from hyperspectral reflection measurements for estimating crop canopy parameters of oilseed rape (Brassica napus L.), Biosystems Engineering 101, 172-182. Article (pdf)