Evaluation of crop models for simulating and optimizing deficit irrigation systems in arid and semi-arid countries under climate variability S Kloss, R Pushpalatha, KJ Kamoyo, N Schütze Water Resources Management 26 (4), 997-1014, 2012 | 93 | 2012 |
Towards an integrated arid zone water management using simulation-based optimisation J Grundmann, N Schütze, GH Schmitz, S Al-Shaqsi Environmental Earth Sciences 65 (5), 1381-1394, 2012 | 88 | 2012 |
OCCASION: New Planning Tool for Optimal Climate Change Adaption Strategies in Irrigation N Schütze, GH Schmitz Journal of Irrigation and Drainage Engineering 136 (12), 836-846, 2010 | 77 | 2010 |
Analysis of AET and yield predictions under surface and buried drip irrigation systems using the Crop Model PILOTE and Hydrus-2D JC Mailhol, P Ruelle, S Walser, N Schütze, C Dejean Agricultural Water Management 98 (6), 1033-1044, 2011 | 65 | 2011 |
New strategy for optimizing water application under trickle irrigation GH Schmitz, N Schütze, U Petersohn Journal of irrigation and drainage engineering 128 (5), 287-297, 2002 | 65 | 2002 |
Novel simulation-based algorithms for optimal open-loop and closed-loop scheduling of deficit irrigation systems N Schütze, M de Paly, U Shamir Journal of Hydroinformatics 14 (1), 136-151, 2012 | 63 | 2012 |
The chaos in calibrating crop models: Lessons learned from a multi-model calibration exercise D Wallach, T Palosuo, P Thorburn, Z Hochman, E Gourdain, ... Environmental Modelling & Software 145, 105206, 2021 | 55 | 2021 |
Impact of irrigation on plant growth and development of white cabbage SJ Seidel, S Werisch, N Schütze, H Laber Agricultural water management 187, 99-111, 2017 | 46 | 2017 |
Optimal planning and operation of irrigation systems under water resource constraints in Oman considering climatic uncertainty N Schütze, S Kloss, F Lennartz, A Al Bakri, GH Schmitz Environmental Earth Sciences 65 (5), 1511-1521, 2012 | 40 | 2012 |
Optimal Irrigation Scheduling, Irrigation Control and Drip Line Layout to Increase Water Productivity and Profit in Subsurface Drip‐Irrigated Agriculture SJ Seidel, N Schütze, M Fahle, JC Mailhol, P Ruelle Irrigation and Drainage 64 (4), 501-518, 2015 | 36 | 2015 |
How well do crop modeling groups predict wheat phenology, given calibration data from the target population? D Wallach, T Palosuo, P Thorburn, E Gourdain, S Asseng, B Basso, ... European Journal of Agronomy 124, 126195, 2021 | 34 | 2021 |
Potential of deficit and supplemental irrigation under climate variability in northern Togo, West Africa A Gadédjisso-Tossou, T Avellán, N Schütze Water 10 (12), 1803, 2018 | 34 | 2018 |
Automatic model structure identification for conceptual hydrologic models D Spieler, J Mai, JR Craig, BA Tolson, N Schütze Water Resources Research 56 (9), e2019WR027009, 2020 | 33 | 2020 |
Modelling the impact of drought and heat stress on common bean with two different photosynthesis model approaches SJ Seidel, S Rachmilevitch, N Schütze, N Lazarovitch Environmental Modelling & Software 81, 111-121, 2016 | 28 | 2016 |
Three‐dimensional modeling of multiple automated equilibrium tension lysimeters to measure vadose zone fluxes T Wöhling, N Schütze, B Heinrich, J Šimůnek, GF Barkle Vadose Zone Journal 8 (4), 1051-1063, 2009 | 28 | 2009 |
Field evaluation of irrigation scheduling strategies using a mechanistic crop growth model SJ Seidel, S Werisch, K Barfus, M Wagner, N Schütze, H Laber Irrigation and drainage 65 (2), 214-223, 2016 | 27 | 2016 |
Water requirements for oil palm grown on marginal lands: A simulation approach H Akram, DF Levia, JE Herrick, H Lydiasari, N Schütze Agricultural Water Management 260, 107292, 2022 | 26 | 2022 |
Optimal irrigation scheduling with evolutionary algorithms M de Paly, A Zell Applications of Evolutionary Computing, 142-151, 2009 | 26 | 2009 |
An integrated approach to conceptualise hydrological and socio-economic interaction for supporting management decisions of coupled groundwater–agricultural systems YH Subagadis, J Grundmann, N Schütze, GH Schmitz Environmental earth sciences 72, 4917-4933, 2014 | 24 | 2014 |
Multi-model evaluation of phenology prediction for wheat in Australia D Wallach, T Palosuo, P Thorburn, Z Hochman, F Andrianasolo, S Asseng, ... Agricultural and Forest Meteorology 298, 108289, 2021 | 23 | 2021 |