Agriculture

Misc

• Packages
  • {aridagri} - Provides 35+ functions for statistical analysis in agricultural research, with special focus on experimental design analysis and agronomic calculations
    • Complete ANOVA Suite: All experimental designs with proper error terms
    • Multiple Post-Hoc Tests: LSD, Duncan, Tukey, SNK, Scheffé, Bonferroni, Dunnett
    • Stability Analysis: 7 methods (Eberhart-Russell, AMMI, Finlay-Wilkinson, Shukla, Wricke, CV, Superiority)
    • Thermal Indices: GDD, HTU, PTU, Heat Use Efficiency
    • Crop Growth Analysis: CGR, RGR, NAR, LAI
    • Publication-Ready Output: Formatted tables with SE, CD, CV
  • {STCCGEV} - Spatio-Temporal, Conditional Copula Model for Crop Yield Forecasting
    • Incorporates extreme weather covariates and Bayesian Structural Time Series models to analyze crop yield dependencies across multiple regions
• Papers
  • Method: Using generalized additive models in the livestock animal sciences by Simpson (Repo)
    • Shows how learning from data can produce a better fit to data than that of parametric models
    • Shows how hierarchical GAMs can be used to estimate growth data from multiple animals in a single model
    • Shows how hierarchical GAMs can be used for formal statistical inference in a designed experiment
• Commodity prices normally forecast using a cobweb model which leads to price risk
• Vegetable price series are much more volatile than other commodities
  • Seasonality regulates the supply and demand
  • Perishable nature of the produce adds complications in stabalizing the price