Pei Wang
Papers
1
Total Citations
6
H-Index
1
About
Pei Wang is a researcher working at the intersection of artificial intelligence, machine learning, and agricultural technology, with a particular focus on precision agriculture and smart farming systems. Their most recognized contribution examines how machine learning and Big Data methodologies are being applied to transform modern agricultural practices, addressing the growing challenges posed by deglobalization movements and increasing economic uncertainty in global food systems. This work explores how emerging computational tools can optimize farming decisions, improve crop yields, and enhance resource efficiency in an era of rapid technological change. Published in 2021, this research has garnered 6 citations, reflecting its relevance to a timely and rapidly evolving field that sits at the crossroads of data science and sustainable food production. Wang's scholarship contributes to a broader conversation about how advanced analytics can help agricultural industries adapt to volatile global conditions, making complex quantitative insights accessible to practitioners and policymakers alike. For students and researchers interested in applied machine learning, agricultural informatics, or food system resilience, Wang's work offers a valuable framework for understanding how data-driven technologies are reshaping one of humanity's most fundamental industries.
Research Focus
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Top Papers
- 1