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library(phenolocrop)
#> Package phenolocrop is designed for scientific use.
#> Use for commercial purposes shall not be allowed.
#> Copyright (C) 2023 The National Agriculture and Food Research Organization. All rights reserved.The data frame should include the columns of the objective trait and time point. In the example rice CH data, date column is for the measuring date, height is for CH (m), id is for the cultivar id, and x is for the days after sowing. The following CH time-series data was generated by the computer simulation.
riceCH_eg
#> date height id x
#> 1 2019-06-05 0.1275410 cultivar1 49
#> 2 2019-06-14 0.2143106 cultivar1 58
#> 3 2019-06-21 0.3069144 cultivar1 65
#> 4 2019-06-26 0.3874088 cultivar1 70
#> 5 2019-07-03 0.4849813 cultivar1 77
#> 6 2019-07-10 0.6100122 cultivar1 84
#> 7 2019-07-17 0.7103914 cultivar1 91
#> 8 2019-07-24 0.7856967 cultivar1 98
#> 9 2019-08-02 0.8600938 cultivar1 107
#> 10 2019-08-07 0.8780389 cultivar1 112
#> 11 2019-08-14 0.9104030 cultivar1 119
#> 12 2019-08-21 0.9289210 cultivar1 126
#> 13 2019-08-27 0.9318912 cultivar1 132
#> 14 2019-09-06 0.8451451 cultivar1 142
#> 15 2019-09-12 0.7648677 cultivar1 148
#> 16 2019-09-20 0.5972365 cultivar1 156riceCH_eg |>
logisLateDicr("x", "height")
#> K d0 r a d1
#> 9.318912e-01 7.492854e+01 7.387491e-02 3.319686e-04 1.250000e+02x_vec <- 1:max(riceCH_eg$x)
y <- riceCH_eg |>
logisLateDicr("x", "height") |>
phenololine(x = x_vec, method = "logisLateDicr")
plot(x_vec, y, type = "l", ylab = "rice CH", xlab = "Dayes after sowing")
points(riceCH_eg$x, riceCH_eg$height)
Time-series model of logisLateDicr for the rice CH is as
the following.
\[ \mathrm{CH}= \begin{cases} \frac{K}{1+\mathrm{exp}(r(d_0-x))} & (x\le d_1)\\ \frac{K}{1+\mathrm{exp}(r(d_0-x))}-a(x-d_1)^2 & (x>d_1) \end{cases} \]
S. Taniguchi et al., (2022) Prediction of heading date, culm length, and biomass from canopy-height-related parameters derived from time-series UAV observations of rice. Frontiers in Plant Science, 13:998803.
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