Nur Rokhman
Papers
1
Total Citations
7
H-Index
1
About
Nur Rokhman is a researcher at the forefront of applying artificial intelligence to agriculture, with a particular focus on deep learning for plant disease detection. His work addresses the critical challenge of early and accurate identification of crop diseases, which is essential for global food security. In his highly cited 2022 systematic review, "Systematic Review of the Early Detection and Classification of Plant Diseases Using Deep Learning," Rokhman synthesizes the rapidly evolving landscape of AI-driven agricultural diagnostics, demonstrating how deep learning has become the dominant methodology in this field. This review, which has already garnered significant attention with 7 citations, serves as a foundational resource for researchers and practitioners alike. By mapping the intersection of computer vision and plant pathology, Rokhman's contributions help pave the way for more efficient, scalable, and accessible disease management solutions, ultimately supporting farmers in reducing crop loss and improving yield through intelligent, data-driven tools.
Research Focus
Key Achievements
Top Papers
- 1