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 |
| Author: |
Muhammad Farooqi 
[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:
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