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AgriFusionR: An Integration Framework for Agricultural Analytics

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.

Version: 0.1.0
Depends: R (≥ 4.1.0)
Imports: graphics, grDevices, stats, utils
Suggests: testthat (≥ 3.0.0), ranger, xgboost, Cubist, glmnet, kernlab, mgcv, treeshap, nasapower, chirps, daymetr, geodata, terra, agridat, knitr, rmarkdown
Published: 2026-08-26
DOI: 10.32614/CRAN.package.AgriFusionR (may not be active yet)
Author: Muhammad Farooqi ORCID iD [aut, cre]
Maintainer: Muhammad Farooqi <mqfarooqi at gmail.com>
BugReports: https://github.com/mqfarooqi1/AgriFusionR/issues
License: MIT + file LICENSE
URL: https://github.com/mqfarooqi1/AgriFusionR
NeedsCompilation: no
Language: en-GB
Materials: NEWS
CRAN checks: AgriFusionR results

Documentation:

Reference manual: AgriFusionR.html , AgriFusionR.pdf
Vignettes: Getting started with AgriFusionR (source, R code)

Downloads:

Package source: AgriFusionR_0.1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): AgriFusionR_0.1.0.tgz, r-oldrel (arm64): AgriFusionR_0.1.0.tgz, r-release (x86_64): AgriFusionR_0.1.0.tgz, r-oldrel (x86_64): AgriFusionR_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=AgriFusionR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.