Papers
1
Total Citations
15
H-Index
1
About
Yuqi Wei is a forward-thinking researcher at the intersection of artificial intelligence and sustainable agriculture. Her work critically examines how deep learning can be harnessed to address global food security challenges, emphasizing that technological innovation must be grounded in ecological principles and human-centered design. In her highly cited 2022 paper, "Deep learning for sustainable agriculture needs ecology and human involvement," Wei conducted a bibliometric analysis of 156 articles to map the landscape of AI applications in farming. Her key contribution lies in demonstrating that while deep learning offers powerful predictive tools for crop management and resource efficiency, its success depends on integrating local knowledge, biodiversity, and stakeholder participation. With 15 citations, this work has already influenced discussions on responsible AI deployment in agri-food systems. Wei’s research serves as a critical bridge between computer science and environmental sustainability, challenging the field to move beyond purely technical solutions. Her insights are particularly valuable for students and researchers seeking to develop AI systems that are not only accurate but also ethically and ecologically sound.
Research Focus
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