Naima Islam

Pabna University of Science and Technology

Papers

Total Citations

H-Index

About

Naima Islam is a rising researcher at the forefront of artificial intelligence applications in agriculture. Her work centers on deep learning and computer vision, with a primary focus on developing intelligent systems for plant health monitoring. In her highly cited 2025 study, "Enhanced plant health monitoring with dual head CNN for leaf classification and disease identification," Islam introduced a novel Dual-Head Convolutional Neural Network (DH-CNN) that simultaneously classifies plant leaves and detects diseases—a significant leap over traditional single-task models. This innovation directly addresses critical challenges in food security and agricultural productivity by enabling faster, more accurate crop diagnostics. With 7 citations already, her work is gaining rapid recognition for its practical impact. Islam’s research exemplifies how cutting-edge AI can be harnessed for sustainable farming, offering scalable solutions for early disease detection. As a young scholar, she represents a new generation of researchers bridging the gap between machine learning and real-world agricultural challenges, making her a name to watch in the field of precision agriculture.