Cargando…
Big data, small explanatory and predictive power: Lessons from random forest modeling of on-farm yield variability and implications for data-driven agronomy
CONTEXT: Collection and analysis of large volumes of on-farm production data are widely seen as key to understanding yield variability among farmers and improving resource-use efficiency. OBJECTIVE: The aim of this study was to assess the performance of statistical and machine learning methods to ex...
| Autores principales: | , , , , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier Scientific Pub. Co
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10565834/ https://www.ncbi.nlm.nih.gov/pubmed/37840838 http://dx.doi.org/10.1016/j.fcr.2023.109063 |