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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

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

Plant Environment Control Lab.

Sung Kyu Kim

slide2

Concept of radiation-based irrigation system

Radiation-based irrigation system

Timer-based irrigation system

slide3

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

slide4

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

slide5

Objectives

Development of automatic irrigation system

  • Application of model-based irrigation system
  • Characteristic of solar radiation-based system
  • Comparison of automatic irrigation systems
slide6

Application of model-based irrigation system

Experiment 1

Automation system

Model

Application

Realization

  • Irrigation system using soil water potential sensors

Experiment 1

slide7

Layout of an automatic irrigation system

Timing, Set point

Position, Value

Model, Algorism

Agricultural Water Management 55 (2002) 183-201

Experiment 1

slide8

Soil water potential measured at 0.2m depth

Computers and Electronics in Agriculture 48 (2005) 183-197

Experiment 1

slide9

Flow diagram of controller program for irrigation

Model

Program

Computers and Electronics in Agriculture 48 (2005) 183-197

Experiment 1

slide10

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

slide11

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

slide12

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

slide13

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

slide14

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

slide15

Addition of various physical parameters

Substrate, pot size, wick size

Multi-metric chart

Experiment 2

slide16

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

slide17

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

slide18

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

slide19

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

slide20

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

slide21

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

slide22

Possible Publications

  • Scientia Horticulturae
  • HortTechnology
  • Agricultural Water Management
  • Computers and Electronics in Agriculture·