Lina V. Berrio
Papers
1
Total Citations
19
H-Index
1
About
Lina V. Berrio is a researcher specializing in agricultural engineering and postharvest technology, with a particular focus on coffee quality assessment. Her work bridges the gap between traditional agricultural practices and modern digital imaging techniques. Her most-cited paper, "Ripeness stage characterization of coffee fruits (Coffea arabica L. var. Castillo) applying chromaticity maps obtained from digital images" (2020, 19 citations), introduces a non-destructive method to evaluate coffee fruit ripeness using chromaticity maps derived from digital photographs. This contribution is significant for optimizing harvest timing and improving coffee bean quality, offering a practical, low-cost tool for farmers and processors. By applying color science to agricultural sorting, Berrio’s research enhances precision in postharvest management, reducing waste and ensuring consistent product quality. Her work exemplifies how digital image analysis can transform traditional agricultural workflows, making it highly relevant for students and researchers in food science, agricultural engineering, and sustainable crop production.
Research Focus
Key Achievements
Top Papers
- 1