Papers

2

Total Citations

54

H-Index

1

About

Nafees Akhter Farooqui is a researcher at the forefront of applying artificial intelligence and machine learning to critical real-world challenges, particularly in agriculture and healthcare. Their most impactful contribution is in the domain of precision agriculture, where they developed an innovative deep learning model for automatic crop disease recognition. This work, which has garnered 53 citations, employs improved abnormality segmentation and a heuristic-based concatenated deep learning architecture to detect plant diseases from visual data—a technology with profound implications for crop quality, productivity, and national economies. Farooqui’s research elegantly bridges computer vision and mechatronics, demonstrating how intelligent systems can automate and enhance traditional agricultural practices. More recently, they have extended their expertise to explore the transformative role of artificial intelligence in healthcare, addressing critical issues of transparency and implementation in AI-driven patient care and diagnosis. By tackling both agricultural sustainability and medical diagnostics, Farooqui’s work exemplifies the powerful, cross-disciplinary impact of modern AI, offering practical solutions that stand to reshape two of society’s most vital sectors.

Research Focus

Key Achievements

1
H-Index
2
Papers
54
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Automatic crop disease recognition by improved abnormality segmentation along with heuristic-based concatenated deep learning model
53 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Dehradun Institute of Technology University, Koneru Lakshmaiah Education Foundation

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago