Description
Time-Series Models to the Crop Phenology.
Description
Fit a time-series model to a crop phenology data, such as time-series rice canopy height. This package returns the model parameters as the summary statistics of crop phenology, and these parameters will be useful to characterize the growth pattern of each cultivar and predict manually-measured traits, such as days to heading and biomass. Please see Taniguchi et al. (2022) <doi:10.3389/fpls.2022.998803> for detail. This package has been designed for scientific use. Use for commercial purposes shall not be allowed.
README.md
phenolocrop
Overview
phenolocrop has been developed for the time-series analysis of crop traits. In time-series analysis, one data is composed of serial observation and interpreted by means of "time-series models." Therefore, phenolocrop is aimed at applying appropriate time-series model to the time-series observation of crop, which is called phenology.
Installation
install.packages("phenolocrop")
Target traits and models
At the latest version (0.0.1), phenolocrop package offers a model for rice canopy height data.
Trait: Rice canopy height.
- Model: Three-parameter logistic with the decrease in the late growth phase. Use
logisLateDicrfunction.
- Model: Three-parameter logistic with the decrease in the late growth phase. Use