SOURCE-LINKED INTELLIGENCE

Precision in Rice Variety Classification using Stacking-Based Ensemble Learning

arXiv · AI, language, vision and robotics · article · Sep 9, 2026 · UTC

Rice, a staple food for a significant portion of the global population, exhibits remarkable diversity in its varieties, presenting substantial challenges for accurate identification by consumers, traders, and farmers. This complexity often facilitates fraudulent practices, such as the unauthorized mixing of rice types, which undermines quality and trust in the supply chain. Despite its critical importance, existing research falls short of providing robust and efficient methods for precise rice variety classification based on external characteristics like color, size, and texture. To address th

Read original source ↗ Open in workspace

recordType

paper

region

Global