Florinda Greene

Professional Summary

Florinda Greene is an innovative agricultural technologist specializing in automated phenotyping and grading of hybrid rice. Combining expertise in plant science, computer vision, and machine learning, Florinda develops cutting-edge systems to quantify and classify rice phenotypes with unprecedented accuracy. Her work accelerates breeding cycles, enhances yield prediction, and supports global food security initiatives.

Core Competencies & Breakthroughs

1. Automated Phenotyping Systems

• Designs AI-driven image analysis pipelines for high-throughput phenotyping of:

  • Morphological traits (panicle architecture, leaf angle, plant height)

  • Physiological indicators (chlorophyll content, stress responses)

  • Yield components (grain count, size uniformity)

• Achieves >95% grading accuracy under field conditions using multispectral imaging.

2. Hybrid Rice Optimization

• Correlates phenotypic traits with genomic data to predict hybrid performance.

• Develops decision-support tools for breeders to prioritize crosses based on automated grading results.

3. Technology Integration

• Implements robotic field scanners and drone-based phenotyping platforms.

• Pioneers 3D modeling of rice canopies for dynamic growth stage assessment.

Career Highlights

• Led the development of RiceGrade-X, an open-source phenotyping platform adopted by 12+ breeding programs.

• Reduced phenotyping time from 2 weeks to 8 hours for 10,000 rice accessions.

• Published in Plant Phenomics on deep learning for drought-tolerance trait identification.