Nagwa Khedr
Papers
1
Total Citations
5
H-Index
1
About
Nagwa Khedr is a pioneering researcher at the forefront of applying artificial intelligence and machine learning to agricultural science, with a particular focus on fruit quality management. Her most-cited work, a comprehensive review published in 2025, synthesizes cutting-edge AI and ML techniques for non-destructive fruit quality assessment, grading, and supply chain optimization. This seminal paper, already garnering 5 citations within its first year, demonstrates her ability to identify and articulate transformative technologies for the agri-food sector. Khedr’s contributions bridge the gap between computational methods and practical agricultural challenges, offering solutions that enhance food safety, reduce waste, and improve economic outcomes for growers and distributors. Her research is notable for its interdisciplinary approach, integrating sensor data, deep learning models, and real-time monitoring systems. As a rising voice in precision agriculture, Khedr is shaping how the industry leverages intelligent systems to ensure consistent fruit quality from farm to table. Her work not only advances academic knowledge but also provides actionable frameworks for stakeholders, making her a key figure in the digital transformation of agriculture.
Research Focus
Key Achievements
Top Papers
- 1