Jiayi Fu

National Academy of Agricultural Sciences

Papers

1

Total Citations

16

H-Index

1

About

Jiayi Fu is an emerging researcher at the forefront of agricultural artificial intelligence and crop genomics, with work spanning precision breeding technologies, machine learning applications in plant science, and sustainable food systems innovation. Fu's most notable contribution introduces the **Breeding 5.0** framework, a visionary paradigm that leverages AI to decode complex germplasm data, enabling accelerated crop innovation in the face of mounting global challenges including climate instability, arable land loss, and intensifying pest pressure. This work, already accumulating 16 citations since its 2025 publication, signals Fu's capacity to synthesize cutting-edge computational methods with urgent agricultural realities. By positioning artificial intelligence as a transformative tool for interpreting genetic diversity and fast-tracking the development of high-yield, stress-tolerant, and nutritionally enhanced crop varieties, Fu bridges the gap between traditional plant breeding and next-generation data-driven science. For students and researchers navigating the intersection of food security and biotechnology, Fu's scholarship offers a compelling roadmap for how intelligent systems can reshape crop improvement pipelines and ultimately contribute to a more resilient global food supply.

Research Focus

Key Achievements

1
H-Index
1
Papers
16
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation
16 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: National Academy of Agricultural Sciences

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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