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AgriFusionR
View on CRAN: Click
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Download and install AgriFusionR package within the R console
Install from CRAN:
install.packages("AgriFusionR")
Install from Github:
library("remotes")
install_github("cran/AgriFusionR") Install by package version:
library("remotes")
install_version("AgriFusionR", "0.1.0") Attach the package and use:
library("AgriFusionR")
Maintained by
Muhammad Farooqi
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[Scholar Profile | Author Map]
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First Published: 2026-08-26
Latest Update: 2026-08-26
Description:
Assembles agricultural analyses around a single unit of observation, the management unit within a season, and keeps climate, soil and remote-sensing covariates aligned to it. Covariates are aggregated over phenological windows derived from accumulated growing degree days rather than calendar months, following McMaster and Wilhelm (1997) <doi:10.1016/S0168-1923(97)00027-0>. Models are validated with spatial resampling by default, since random cross-validation inflates apparent skill when observations are spatially autocorrelated, as shown by Roberts and others (2017) <doi:10.1111/ecog.02881>. Prediction intervals use split conformal inference after Lei and others (2018) <doi:10.1080/01621459.2017.1307116>. Data sources and learning algorithms are supplied through registries so that new providers and methods can be added without modifying the package.
How to cite:
Muhammad Farooqi (2026). AgriFusionR: An Integration Framework for Agricultural Analytics. R package version 0.1.0, https://cran.r-project.org/web/packages/AgriFusionR. Accessed 13 Oct. 2026.
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