Norazlina Abdul Razak
Papers
1
Total Citations
20
H-Index
1
About
Dr. Norazlina Abdul Razak is a leading researcher at the intersection of agricultural technology and artificial intelligence, with a primary focus on deep learning applications for precision farming and robotic vision. Her most cited work, "Disease Detection of Solanaceous Crops Using Deep Learning for Robot Vision" (2022, 20 citations), addresses a critical challenge in modern agriculture: the labor-intensive and error-prone process of manual crop disease monitoring. Dr. Razak’s major contribution lies in developing automated, vision-based systems that enable robots to identify diseases in solanaceous crops—such as tomatoes, potatoes, and eggplants—with high accuracy. This innovation promises to reduce reliance on manual inspection, optimize pesticide use, and improve crop yields. Her research integrates convolutional neural networks with real-time image processing, offering scalable solutions for smart farming. Beyond this flagship study, her work spans nutrient deficiency detection and controlled irrigation systems, underscoring her commitment to sustainable agriculture. With growing citation impact, Dr. Razak is recognized as a pioneer in bridging AI and agronomy, empowering farmers with intelligent tools for early disease intervention and resource management.
Research Focus
Key Achievements
Top Papers
- 1Disease Detection of Solanaceous Crops Using Deep Learning for Robot Vision20 citations · 2022