5 papers
An Ensemble Deep Learning Approach for Reliable and Scalable Lemon Leaf Disease Classification
Shayan Abrar, Sudeepta Mandal, Abdul Awal Yasir +4
Early detection of plant diseases is crucial to plants and for the farmers. Plant diseases reduce fruit yield and quality, and plants are more susceptible to other stresses when th…
RetinaVision: XAI-Driven Augmented Regulation for Precise Retinal Disease Classification using deep learning framework
Mohammad Tahmid Noor, Shayan Abrar, Jannatul Adan Mahi +3
Early and accurate classification of retinal diseases is critical to counter vision loss and for guiding clinical management of retinal diseases. In this study, we proposed a deep…
Toward Reliable Tea Leaf Disease Diagnosis Using Deep Learning Model: Enhancing Robustness With Explainable AI and Adversarial Training
Samanta Ghosh, Jannatul Adan Mahi, Shayan Abrar +4
Tea is a valuable asset for the economy of Bangladesh. So, tea cultivation plays an important role to boost the economy. These valuable plants are vulnerable to various kinds of le…
Healthy Harvests: A Comparative Look at Guava Disease Classification Using InceptionV3
Samanta Ghosh, Shaila Afroz Anika, Umma Habiba Ahmed +3
Guava fruits often suffer from many diseases. This can harm fruit quality and fruit crop yield. Early identification is important for minimizing damage and ensuring fruit health. T…
Toward Reliable and Explainable Nail Disease Classification: Leveraging Adversarial Training and Grad-CAM Visualization
Farzia Hossain, Samanta Ghosh, Shahida Begum +4
Human nail diseases are gradually observed over all age groups, especially among older individuals, often going ignored until they become severe. Early detection and accurate diagn…