| Water (stress) models and deficit irrigation: System-theoretical description and causality mapping F Kögler, D Söffker Ecological Modelling 361, 135-156, 2017 | 46 | 2017 |
| State-based open-loop control of plant growth by means of water stress training F Kögler, D Söffker Agricultural water management 230, 105963, 2020 | 8 | 2020 |
| Data driven state machine model for industry 4.0 lifetime modeling and identification of irrigation control parameters R Jihin, F Kögler, D Söffker 2019 global IoT summit (GIoTS), 1-6, 2019 | 8 | 2019 |
| Explorative Frequency Analysis of Leaf Temperature Behavior of Maize (Zea mays subsp. mays) at Water Deficit F Kögler, D Söffker Plants 8 (4), 105, 2019 | 8 | 2019 |
| Crop growth modeling-a new data-driven approach D Söffker, F Kögler, L Owino IFAC-PapersOnLine 52 (30), 132-136, 2019 | 6 | 2019 |
| Automated measurement and control of germination paper water content L Owino, M Hilkens, F Kögler, D Söffker Sensors 19 (10), 2232, 2019 | 1 | 2019 |
| Deficit irrigation model-based control of plant growth FV Kögler Universität Duisburg-Essen, 2019 | 1 | 2019 |
| Corrigendum to “Water (stress) models and deficit irrigation: System-theoretical description and causality mapping”[Ecol. Model. 361 (2017) 135–156] F Kögler, D Söffker Ecological Modelling 363, 234-235, 2017 | | 2017 |
| Deficit irrigation model-based control of plant growth FV Kögler Dissertation, Duisburg, Essen, Universität Duisburg-Essen, 2019, 0 | | |
| Frequency analysis of leaf temperature oscillations: Analysis of dynamic plant behavior for deficit irrigation applications F Kögler, D Söffker Gesellschaft für Pflanzenbauwissenschaften e. V., 88, 0 | | |
| Plant system behavior at deficit irrigation: Experimental data collection and system dynamical characteristics for irrigation control F Kögler, D Söffker Gesellschaft für Pflanzenbauwissenschaften e. V., 36, 0 | | |
Dirk Soffker (Söffker, Soeffker)Professor, Dynamics and Control, University of Duisburg-EssenVerified email at uni-due.de
