Beatriz Rey Solaz

Universitat Politècnica de València

Papers

1

Total Citations

46

H-Index

1

About

Beatriz Rey Solaz is a pioneering researcher at the intersection of agricultural robotics and precision plant health monitoring. Her work centers on developing autonomous field robots equipped with advanced proximal sensing technologies to detect and map crop diseases at unprecedented scales. Her most influential contribution, the 2019 paper "Xf-Rovim. A Field Robot to Detect Olive Trees Infected by Xylella Fastidiosa Using Proximal Sensing," with 46 citations, describes the design and deployment of a specialized robotic platform capable of identifying Xylella fastidiosa infections in olive groves. This breakthrough addresses a critical agricultural crisis, offering a scalable, non-invasive method for early disease detection that surpasses traditional visual inspection. By integrating remote sensing with mobile robotics, Rey Solaz has provided a practical tool for precision agriculture, enabling farmers to contain outbreaks more effectively. Her work not only advances the field of agricultural robotics but also demonstrates how engineering solutions can directly combat devastating plant pathogens, making her a key figure in sustainable crop protection and smart farming innovation.

Research Focus

Key Achievements

1
H-Index
1
Papers
46
Total Citations
46
Avg Citations/Paper
🏆 Most Cited Paper
Xf-Rovim. A Field Robot to Detect Olive Trees Infected by Xylella Fastidiosa Using Proximal Sensing
46 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Universitat Politècnica de València

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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