Fulvia Rizza
Papers
1
Total Citations
55
H-Index
1
About
Fulvia Rizza is a leading researcher in plant phenotyping and precision agriculture, with a primary focus on developing high-throughput methods to accelerate crop breeding. Her major contributions center on integrating unmanned aerial vehicles (UAVs) with advanced visible and near-infrared (NIR) sensors to non-destructively assess key physiological traits in cereals. Her seminal 2017 work on UAV-based phenotyping to discriminate barley vigour using vegetation indices has garnered 55 citations, establishing a foundational approach for linking spectral data to plant performance. This research enables breeders to evaluate thousands of field plots rapidly, replacing slow, manual scoring with objective, scalable imaging. Rizza’s work bridges remote sensing and plant science, providing tools to identify superior genotypes under real-world conditions. Her achievements include demonstrating that specific vegetation indices can reliably capture early vigour—a critical trait for stress tolerance and yield potential. By making phenotyping faster and more precise, she directly supports the development of climate-resilient barley varieties. Her research continues to influence both academic plant breeding programs and applied agricultural technology, positioning her as a key figure in the digital transformation of crop improvement.
Research Focus
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Top Papers
- 1