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Model-based Irrigation Control for Potted Plant Production in Nutrient-flow Wick Culture

Model-based Irrigation Control for Potted Plant Production in Nutrient-flow Wick Culture. Plant Environment Control Lab. Sung Kyu Kim. Concept of radiation-based irrigation system. Radiation-based irrigation system. Timer-based irrigation system. Water movement in NFW system. Qp.

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Model-based Irrigation Control for Potted Plant Production in Nutrient-flow Wick Culture

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  1. Model-based Irrigation Control for Potted Plant Production in Nutrient-flow Wick Culture Plant Environment Control Lab. Sung Kyu Kim

  2. Concept of radiation-based irrigation system Radiation-based irrigation system Timer-based irrigation system

  3. Water movement in NFW system Qp Q = Qp + Qm Qm Wc = Wp - Q Wc Q = total water loss Qp = water loss from the plant Qm = water loss from the media Wp = water absorption Wc = water content Wp

  4. Models for evapotranspiration and water absorption WI = Initial water content, TI = irrigation time, LA = leaf area, EA = shade area, VPD = vapor pressure deficit, RAD = radiation integral, Water holding capacity = 76.35 WP ET WP TI, WI ET LA, EA, RAD, VPD Modeling

  5. Objectives Development of automatic irrigation system • Application of model-based irrigation system • Characteristic of solar radiation-based system • Comparison of automatic irrigation systems

  6. Application of model-based irrigation system Experiment 1 Automation system Model Application Realization • Irrigation system using soil water potential sensors Experiment 1

  7. Layout of an automatic irrigation system Timing, Set point Position, Value Model, Algorism Agricultural Water Management 55 (2002) 183-201 Experiment 1

  8. Soil water potential measured at 0.2m depth Computers and Electronics in Agriculture 48 (2005) 183-197 Experiment 1

  9. Flow diagram of controller program for irrigation Model Program Computers and Electronics in Agriculture 48 (2005) 183-197 Experiment 1

  10. Experiments 1. Settlement of irrigation schedule · Term of watering, water movement 2. Regulation of maximum and minimum set point · Plant materials, seasons, physical problem 3. Decision of sensor position and measured value · Calibration, division, reliability of data 4. Programming for irrigation control using model · Algorism, facility Experiment 1

  11. Expected results Fig 1. Layout of an automatic irrigation system Fig 2. Flow diagram of controller program for irrigation Fig 3. Change in soil water content under solar radiation Experiment 1

  12. Characteristic of solar radiation-based system Experiment 2 Investigation of specific physiology • Fluctuation of soil water content • Effect of plant physiology by system • Addition of various physical parameters Experiment 2

  13. Fluctuation of soil water content Physical property Physiological property Soil moisture in soil EC-based system Change in water content of medium in various subirrigation systems Agricultural Water Management 45 (2000) 145-157 Experiment 2

  14. Plant growth Fresh weight of shoot and fruit at different water contents zSoil water content setting point were 50, 40, 30 and 20 %. yMean separation within column by Duncan’s multiple range test at 5% level. J. Kor. Soc. Hort. Sci. 44 (2003) 146-151 Experiment 2

  15. Addition of various physical parameters Substrate, pot size, wick size Multi-metric chart Experiment 2

  16. Experiments 1. Investigation of plant growth at different fluctuations of water content · Maximum and minimum set point, number of times 2. Modeling of physical parameter · Correlation analysis, non-linear regression 3. Programming for metric chart · Substrate, pot size, wick size Experiment 2

  17. Expected results Table 1. Fresh weight of shoot at different water contents Table 2. Change in plant growth at different fluctuations of water content Fig 1. Change in water content of medium in model-based irrigation system Fig 2. Flow diagram of multi metric chart Experiment 2

  18. Comparison of automatic irrigation systems Experiment 3 Soil moisture status in soil electrical conductivity (a) and leaf-air temperature differential (b) base system A Difference of property among systems B Agricultural Water Management 45 (2000) 145-157 Experiment 3

  19. Comparison of automatic irrigation systems Influence of subirrigation systems on kalanchoe growth at 10 weeks after short-day treatment ZMean separation within columns by Duncan’s multiple range test at P=0.001. yNS,**,***Non significant or significant at P=0.01 and 0.001, respectively. By Myung-min Oh (2003) Experiment 3

  20. Experiments 1. Classification of model-based system · Soil water content, soil electrical conductivity, leaf-air temperature differential, solar radiation 2. Influence of model-based systems · Plant growth, fluctuation pattern Experiment 3

  21. Expected results Table 1. Influence of various systems on kalanchoe growth at 10 weeks after short-day treatment Fig 1. Change in fluctuationat various irrigation systems Fig 2. Effect of irrigation system on soil water content Experiment 3

  22. Possible Publications • Scientia Horticulturae • HortTechnology • Agricultural Water Management • Computers and Electronics in Agriculture·

  23. Thank you for your attention

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