Papers
1
Total Citations
94
H-Index
1
About
Xinyu Guo is a leading researcher at the intersection of agricultural engineering and digital technology, with a primary focus on high-throughput plant phenotyping and the Internet of Things (IoT) in agriculture. Her most cited work, "The future of Internet of Things in agriculture: Plant high-throughput phenotypic platform" (2020), has garnered 94 citations and stands as a seminal contribution to precision agriculture. In this paper, Guo systematically integrates IoT architectures with advanced imaging and sensor technologies to create scalable platforms for real-time, non-destructive analysis of plant traits—such as growth, health, and stress responses—at an unprecedented throughput. This work directly addresses critical bottlenecks in crop breeding and smart farming, enabling researchers to bridge the gap between genomic data and field performance. Guo’s research is distinguished by its practical, systems-level approach, offering a blueprint for deploying IoT-driven phenotyping in both controlled environments and open fields. Her contributions have significant implications for global food security, empowering data-driven decision-making in agriculture. With her work increasingly cited by engineers, plant scientists, and agronomists, Guo is recognized as a key architect of the next generation of intelligent agricultural systems.
Research Focus
Key Achievements
Top Papers
- 1