Growth Analysis

Unmanned Aerial System (UAS) based asymmetric cotton growth model for high throughput phenotyping

Jinha Jung (1), Juan Landivar (2), Anjin Chang (1), Junho Yeom (1)

Murilo Maeda (2), Andrea Maeda (2)

(1) Texas A&M University – Corpus Christi, Corpus Christi, TX(2) Texas A&M AgriLife Research, Corpus Christi, TX

plant growth analysis uses simple primary data in the form of weight, areas, volumes and contents of plant

components to investigate processes within and involving the whole plant (Hunt et al., 2002)

1964 1972 1982 1990

kreusler1879

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17 observation at weekly intervals throughout a whole growing season

how tomeasure

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uav dataprocessing

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canopy heightmeasurements

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canopy covermeasurements

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canopy volumemeasurements

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30 GenotypesWayne SmithSteve HagueJane DeverDavid Stelly

Visual ChecksPHY 499Every variety is paired with VC

Irrigation vs Dryland2 rows, 30ft, 10ft alley4 seed/ftrow spacing: 38 inches

3 RepetitionEach treatments has7 rows x 70 lines = 490 lines7 rows x 35 plots = 245 plots

1st flight

07 Apr

uav datacollection

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planting

01 Apr

earlyseason

earlyseason

companytimeline

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May ~ July

midseason

midseason

yield!yield!

uav datacollection

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Aug

lateseason

lateseason

harvesting

20 Aug

01

3 parameter logistic model

( a = 100, b = 10, c = 60 )

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4 parameter logisticmodel

( a = 0, b = 3, c = 50, d = 100 )

Baud M, Data analysis, mathematical modeling, pp 656–671 in Methods of Immunological Analysis Volume 1: Fundamentals (Masseyeff RF et al., eds), VCH Publishers, Inc., New York, NY (1993)

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5 parameter logisticmodel

( a = 0, b = 3, c = 50, d = 100, g = 3 )

Baud M, Data analysis, mathematical modeling, pp 656–671 in Methods of Immunological Analysis Volume 1: Fundamentals (Masseyeff RF et al., eds), VCH Publishers, Inc., New York, NY (1993)

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4 parameter Richardmodel

( alpha = 100, beta = 75, k = 0.1, m = 0.3 )

D. Fekedulegn, M. Mac Siurtain, and J. Colbert, "Parameter estimation of nonlinear growth models in forestry," Silva Fennica, vol. 33, no. 4, pp. 327-336, 1999.

curve fittingsuccess rate

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meet ourteam

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Anjin ChangTAMU-CC

Jinha JungTAMU-CC

Juan LandivarAgriLife Research

MuriloMaedaAgriLife Research

Andrea MaedaAgriLife Research

Junho YeomTAMU-CC

thank you to