Neeraj Arora
Papers
1
Total Citations
2
H-Index
1
About
Neeraj Arora is an emerging researcher at the intersection of computer vision and food science, whose work is beginning to shape how we think about automated quality and safety assurance in the food industry. His most-cited paper, "Computer Vision Technologies for Food Quality and Safety Assurance: Evaluating Trends and Analytical Results" (2026), offers a comprehensive evaluation of how machine learning and image processing techniques are being deployed to detect defects, monitor freshness, and ensure compliance in food production. Though early in his career, Arora’s contribution is notable for synthesizing a rapidly growing field—bridging the gap between cutting-edge computer vision algorithms and practical, real-world food safety challenges. His work highlights key trends in non-destructive testing, real-time monitoring, and the analytical rigor needed to validate these technologies. With 2 citations already, Arora is establishing a foundation for future studies that could revolutionize supply chain transparency and consumer protection. For students and researchers interested in applied AI, his research serves as a clear entry point into how vision systems can solve critical problems in agriculture and food engineering.
Research Focus
Key Achievements
Top Papers
- 1