Feranita Haring
Papers
1
Total Citations
5
H-Index
1
About
Feranita Haring is a researcher at the forefront of applying image-based phenotyping to horticultural science, with a particular focus on improving crop yield estimation in lowland tomatoes. Her work centers on the intersection of plant breeding, multivariate statistics, and non-destructive phenotyping techniques. Haring’s most cited study, "Combining Image-Based Phenotyping and Multivariate Analysis to Estimate Fruit Fresh Weight in Segregation Lines of Lowland Tomatoes" (2024), introduces a novel, non-destructive method for predicting fruit weight—a critical trait for breeders and farmers aiming to boost marketable production. By integrating image analysis with multivariate models, her research offers a practical alternative to conventional destructive measurements, enhancing efficiency in breeding programs. With 5 citations in its first year, this work is gaining traction among plant scientists and agronomists. Haring’s contributions are particularly valuable for advancing precision agriculture in tropical environments, where lowland tomato cultivation faces unique challenges. Her innovative approach not only streamlines trait selection but also supports sustainable farming practices, marking her as a promising voice in modern crop science.
Research Focus
Key Achievements
Top Papers
- 1