Jugurta Bouidghaghen
Papers
1
Total Citations
21
H-Index
1
About
Jugurta Bouidghaghen is a researcher at the intersection of plant phenomics, robotics, and climate-resilient agriculture. His key research areas include high-throughput phenotyping, genomic prediction, and the development of automated systems for breeding crops adapted to climate change. Bouidghaghen’s major contribution lies in demonstrating that robotized indoor phenotyping can effectively measure adaptive traits—such as plant architecture, stomatal conductance, and growth—that are critical for resilience but often overlooked in favor of yield. His most-cited work (2023, 21 citations) provides compelling evidence that indoor robotic systems can generate data robust enough for genomic prediction of field performance, bridging a long-standing gap between controlled-environment phenotyping and real-world breeding. This achievement has significant implications for speed breeding programs, enabling faster selection of varieties better suited to changing climates. Bouidghaghen’s research is notable for its practical integration of engineering and plant science, offering a scalable solution to a pressing agricultural challenge. His work is already informing next-generation breeding strategies, making him a rising voice in the field of digital phenotyping and climate-smart crop improvement.
Research Focus
Key Achievements
Top Papers
- 1