Vijay Kakani

Papers

Total Citations

504

H-Index

About

Vijay Kakani is a leading researcher at the intersection of artificial intelligence, computer vision, and their transformative applications in agriculture and healthcare. His work centers on developing intelligent, data-driven systems that leverage deep learning and image analysis to solve real-world challenges. Kakani’s most impactful contribution is his comprehensive critical review on computer vision and AI in the food industry, which has garnered 491 citations and serves as a foundational resource for researchers and practitioners seeking to automate quality inspection, sorting, and processing tasks. This work highlights how big data and smart machines can revolutionize food production. More recently, he has advanced the concept of smart precision weeding using Fifth Industrial Revolution (5IR) technologies, proposing autonomous, environmentally responsible systems for sustainable agriculture. Expanding into healthcare, Kakani explores the use of AI and computer vision for non-invasive diabetes detection and management, outlining promising future methods. His research consistently bridges cutting-edge AI theory with practical, high-impact applications, making him a notable voice in the drive toward smarter, more sustainable industries.