Halit Bakır

Predicting Lentil Seed Yield from Agronomic Traits Using a Foundation-Augmented Machine Learning Ensemble

Accurate agricultural yield prediction is crucial for crop management and data-driven decision-making. This study proposes a machine learning framework for predicting total lentil seed yield using 264 observations collected during a single growing season at one location in Sivas,...

Experimental and machine learning analysis on Mn doped Fe2O3@Bi2S3 heterojunctions for visible light photocatalytic degradation of Rhodamine B

In this study, Mn-doped Fe 2 O 3 @Bi 2 S 3 nanocomposite heterojunctions were synthesized, characterized, and evaluated for their photocatalytic performance in the degradation of Rhodamine B (RhB) dye under visible light. A strong heterojunction structure was formed by combining...