M. Tasdik Hasan
Papers
1
Total Citations
7
H-Index
1
About
M. Tasdik Hasan is a researcher at the forefront of applying deep learning to agricultural technology, with a primary focus on plant health monitoring and disease detection. His most cited work introduces a novel Dual-Head Convolutional Neural Network (DH-CNN), a groundbreaking architecture that simultaneously classifies plant leaves and identifies diseases in a single, efficient pass. This dual-task capability represents a significant leap forward from traditional single-purpose models, offering a more streamlined and accurate solution for real-time crop surveillance. By addressing the critical need for early and precise disease identification, Hasan’s research directly contributes to enhancing food security and boosting agricultural productivity. His work has already garnered attention, with his flagship paper accumulating 7 citations since its 2025 publication, signaling a growing impact in the field. Through this innovative approach, Hasan is helping to pave the way for smarter, data-driven farming practices that empower growers to respond proactively to plant health threats.
Research Focus
Key Achievements
Top Papers
- 1