Musharrat Khan
Papers
1
Total Citations
16
H-Index
1
About
Dr. Musharrat Khan is a leading researcher at the intersection of artificial intelligence, food safety, and agricultural automation. Her primary research areas include explainable AI (XAI), deep learning, and robotic systems for real-time quality control in food processing. Dr. Khan's most significant contribution is the development of an innovative framework that integrates deep learning with the Local Interpretable Model-agnostic Explanations (LIME) technique to enable real-time, automated sorting of broiler chicken meat based on freshness. Her 2024 paper on this topic, which has already garnered 16 citations, addresses a critical gap in poultry processing by replacing error-prone manual inspection with a transparent, AI-driven robotic arm system. This work not only enhances food safety by reducing contamination risks but also sets a new standard for explainability in agricultural AI, ensuring that the model's decisions are interpretable and trustworthy. Dr. Khan's research is paving the way for smarter, safer, and more efficient food supply chains, making her a rising authority in applied AI for the food industry.
Research Focus
Key Achievements
Top Papers
- 1