Open access
Aug 2026
A Vision-Based Approach for Multi-Component Pasture Biomass Estimation
An encoder–decoder regression framework that integrates self-supervised visual representation learning with ensemble-based prediction is proposed, which significantly outperformed LightGBM, XGBoost, and Ridge Regression on the primary weighted R2 metric in paired comparisons.
Sebastian Tonu, Ioana-Alexandra Tonu, Otilia Zvorișteanu et al.
· AgriEngineering · 0 citations