Lehrstuhl SRS - Team

Dr.-Ing. Lina Owino

Lina Owino

Scheele Jaeger Wetzel Patentanwälte, Munich

RaumMB 352
Tel.:+49 (0) 203 / 3 79 - 1866

Kurzvita / CV

2014Assistant Lecturer,
Department of Mechatronic Engineering,
Jomo Kenyatta University of Agriculture and Technology, Kenya
2013M.Sc. in Mechatronic Engineering,
Chair of Automotive Engineering,
Jomo Kenyatta University of Agriculture and Technology, Kenya
2008Teaching Assistant,
Department of Mechatronic Engineering,
Jomo Kenyatta University of Agriculture and Technology, Kenya
2008B.Sc. in Mechanical Engineering/Automotive Engineering,
Faculty of Engineering,
Jomo Kenyatta University of Agriculture and Technology, Kenya

Veröffentlichungen / Publications

  • Owino, L., Söffker, D.: Dynamic Water Stress Threshold Determination for Precision Deficit Irrigation Control using Progressive Clustering Approach. IFAC World Congress 2023, Yokohama, Vol. 56(2), 2023, pp: 5287-5292.
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  • Owino, L.; Söffker, D.: Deficit irrigation-based growth control of maize plants using hybrid model predictive / trellis decoding algorithm. IFAC Conference on Sensing, Control and Automation Technologies for Agricontrol, Munich, 2022.
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  • Owino, L.; Söffker, D.: How much is enough in watering plants? State-of-the-art in irrigation control: advances, challenges, and opportunities with respect to precision irrigation. Frontiers in Control Engineering, Lausanne, 2022.
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  • Owino, L.; Söffker, D.: Predictive precision irrigation-based control of maize leaf growth under laboratory conditions. Gesellschaft fur Pflanzenbauwissenschaften e.V, 63. Jahrestagung, Rostock, September 28-30, 2021, pp. 261-262.
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  • Owino, L., Söffker, D.: Modeling and prediction of corn growth during vegetative phase. AgEng 2021 conference, Évora, 2021, pp. 426-432.
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  • Owino, L., Söffker, D.: State machine-based model for estimation and prediction of above ground biomass in corn during vegetative stage. AgEng 2021 conference, Évora, 2021, pp. 433-440.
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  • Owino, L.; Hilkens, M.; Kögler, F.; Söffker, D.: Automated Measurement and Control of Germination Paper Water Content. Sensors, MDPI, Basel, Vol. 19, No 10. Special Issue: Smart Sensing Technologies for Agriculture, 2019, pp. 2232.
    • , [PDF], [Link]
  • Owino, L.; Söffker, D.: Deficit irrigation-based control of leaf appearance in early vegetative stages of maize growth. Gesellschaft für Pflanzenbauwissenschaften e.V, Berlin, 62. Jahrestagung, 2019, pp. 63-64.
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  • Owino, L.; Söffker, D.: Development and test of predictive model for maize leaf appearance during vegetative phase. IFAC Agricontrol conference, Sydney, 2019, pp. 126-131.
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  • Söffker, D.; Kögler, F.; Owino, L.: Crop growth modeling- a new data driven approach. IFAC Agricontrol conference, Sydney, 2019, pp. 132-136.
  • Owino, L.; Kögler, F.; Söffker, D.: Moisture measurement and control in germination paper: use of model predictive control to effect required moisture level. 61. Jahrestagung der Gesellschaft für Pflanzenbauwissenschaften e.V, Kiel, September 25-27, 2018, pp. 43-44.
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