Ali Khavari

A Statistically Rigorous Multi-classifier Benchmark for Crop Recommendation: K-fold Selection Criterion, Friedman-nemenyi Testing and Optuna TPE Optimisation

Background: Crop recommendation is one of the most critical challenges in precision agriculture, requiring accurate predictions and rigorous evaluation for reliable decisions. However, previous research has employed ad hoc model selection, lack of statistical validation and limited interpretability, thereby limiting re...