Niels Schütze

发表

Neue Methoden zur Steuerung der Wassergabe mit neuronalen Netzen in der Bewässerungslandschaft

Niels Schütze, 2005, Dresdner Schriften zur Hydrologie.

Sustainable management of a coupled groundwater-agriculture hydrosystem using multi-criteria simulation based optimisation.

Niels Schütze, Jens Grundmann, Franz Lennartz, 2013, Water science and technology : a journal of the International Association on Water Pollution Research.

Neue Methoden zur Steuerung der Wassergabe mit Neuronalen Netzen in der Bewässerungslandwirtschaft

Niels Schütze, N. Schütze, 2005, Ausgezeichnete Informatikdissertationen.

Modelling the impact of drought and heat stress on common bean with two different photosynthesis model approaches

Naftali Lazarovitch, Niels Schütze, Sabine J. Seidel, 2016, Environ. Model. Softw..

Self‐organizing maps with multiple input‐output option for modeling the Richards equation and its inverse solution

Niels Schütze, Gerd H. Schmitz, U. Petersohn, 2005 .

Determining crop-production functions using multi-objective evolutionary algorithms

Andreas Zell, Niels Schütze, Michael de Paly, 2010, IEEE Congress on Evolutionary Computation.

Fast Neural Network Surrogates For Complex Groundwater Flow Models

Niels Schütze, Tirthankar Roy, 2014 .

A Fuzzy-Stochastic Modeling Approach for Multiple Criteria Decision Analysis of Coupled Groundwater-Agricultural Systems

Niels Schütze, Yohannes Hagos Subagadis, Jens Grundmann, 2016, Water Resources Management.

Multi-criteria multi-stakeholder decision analysis using a fuzzy-stochastic approach for hydrosystem management

Niels Schütze, Yohannes Hagos Subagadis, Jens Grundmann, 2014 .

Optimal groundwater management using state-space surrogate models: a case study for an arid coastal region

Niels Schütze, Jens Grundmann, Marco Brettschneider, 2016 .

Novel simulation-based algorithms for optimal open-loop and closed-loop scheduling of deficit irrigation systems

Niels Schütze, Uri Shamir, M. de Paly, 2012 .

New strategy for optimizing water application under trickle irrigation

Uwe Petersohn, Niels Schütze, Gerd H. Schmitz, 2002 .

Uncertainty quantification of rainfall runoff predictions using Gaussian process models

Niels Schütze, M. Brettschneider, 2012 .

OCCASION: New Planning Tool for Optimal Climate Change Adaption Strategies in Irrigation

Niels Schütze, Gerd H. Schmitz, N. Schütze, 2010 .

How good does Automatic Model Structure Identification work? A Benchmark Study with 6915 Model Structures.

Niels Schütze, Diana Spieler, 2021 .

How well do crop modeling groups predict wheat phenology, given calibration data from the target population?

Qi Jing, Eric Justes, Kurt Christian Kersebaum, 2021 .

The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise

Qi Jing, Eric Justes, Kurt Christian Kersebaum, 2021, Environ. Model. Softw..

Multi-model evaluation of phenology prediction for wheat in Australia

Qi Jing, Eric Justes, Kurt Christian Kersebaum, 2021 .

Multi-objective optimization of multi-purpose multi-reservoir systems under high reliability constraints

Niels Schütze, Ruben Müller, 2016, Environmental Earth Sciences.

Evaluation of Crop Models for Simulating and Optimizing Deficit Irrigation Systems in Arid and Semi-arid Countries Under Climate Variability

Niels Schütze, Raji Pushpalatha, S. Kloss, 2012, Water Resources Management.

Potential of Deficit and Supplemental Irrigation under Climate Variability in Northern Togo, West Africa

Niels Schütze, Tamara Avellán, N. Schütze, 2018, Water.

Optimal planning and operation of irrigation systems under water resource constraints in Oman considering climatic uncertainty

Niels Schütze, Franz Lennartz, Sebastian Kloss, 2011, Environmental Earth Sciences.

Analysis of AET and yield predictions under surface and buried drip irrigation systems using the Crop Model PILOTE and Hydrus-2D

Niels Schütze, Cyril Dejean, Pierre Ruelle, 2011 .

Portrayal of fuzzy recharge areas for water balance modelling – a case study in northern Oman

Niels Schütze, Gerd H. Schmitz, A. Gerner, 2012 .

Automatic Model Structure Identification for Conceptual Hydrologic Models

Bryan A. Tolson, D. Spieler, Juliane Mai, 2018, Water Resources Research.

How well do crop modeling groups predict wheat phenology, given calibration data from the target population?

Yan Zhu, Qi Jing, Eric Justes, 2019, European Journal of Agronomy.

Investigation of deficit irrigation strategies combining SVAT-modeling, optimization and experiments

Niels Schütze, Urs Schmidhalter, Jens Grundmann, 2014, Environmental Earth Sciences.

GAIN-P: A NEW STRATEGY TO INCREASE FURROW IRRIGATION EFFICIENCY

Niels Schütze, Gerd H. Schmitz, N. Schütze, 2007 .

EVALUATION OF THE TRANSFERABILITY OF A SVAT MODEL––RESULTS FROM FIELD AND GREENHOUSE APPLICATIONS

Niels Schütze, Urs Schmidhalter, Sabine Walser, 2011 .

Neuro-dynamic programming as a new framework for decision support for deficit irrigation sytems

Niels Schütze, Gerd H. Schmitz, N. Schütze, 2007 .

Towards an integrated arid zone water management using simulation-based optimisation

Niels Schütze, Gerd H. Schmitz, Jens Grundmann, 2012, Environmental Earth Sciences.

Irrigation control: towards a new solution of an old problem

Niels Schütze, Gerd H. Schmitz, Thomas Wöhling, 2007 .

How well do crop models predict phenology, with emphasis on the effect of calibration?

Qi Jing, Eric Justes, Kurt Christian Kersebaum, 2019, bioRxiv.