Bangladeshi crops leaf disease detection using YOLOv8

MSZ Abid, B Jahan, A Al Mamun, MJ Hossen… - Heliyon, 2024 - cell.com
The agricultural sector in Bangladesh is a cornerstone of the nation's economy, with key
crops such as rice, corn, wheat, potato, and tomato playing vital roles. However, these crops …

Minimal sourced and lightweight federated transfer learning models for skin cancer detection

V Khullar, P Kaur, S Gargrish, AM Mishra, P Singh… - Scientific Reports, 2025 - nature.com
One of the most fatal diseases that affect people is skin cancer. Because nevus and
melanoma lesions are so similar and there is a high likelihood of false negative diagnoses …

A Fine Rendering High-Resolution Makeup Transfer network via inversion-editing strategy

Z Sun, S **ong, Y Chen, Y Rong - Engineering Applications of Artificial …, 2024 - Elsevier
While current makeup transfer methods have made progress in realism and color fidelity,
they struggle with capturing texture details and producing high-resolution images, limiting …

Estimation of the orientation of potatoes and detection bud eye position using potato orientation detection you only look once with fast and accurate features for the …

J Huang, X Wang, C **, FA Cheein, X Yang - Engineering Applications of …, 2025 - Elsevier
The accurate detection of potato orientation and bud eye positions is critical for guiding the
end-effector of intelligent cutting robots. This study introduced Potato Orientation Detection …

Residual adaptive sparse hybrid attention transformer for image super resolution

H Huan, M Wang - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Image super-resolution is a visual task that reconstructs low-resolution images into high-
resolution ones. Currently, many researchers favor applying Transformer-based methods to …

A new degradation model and an improved SRGAN for multi-image super-resolution reconstruction

H Li, L Cheng, J Liu - The Imaging Science Journal, 2024 - Taylor & Francis
In order to solve the problems existing in multi-image super-resolution reconstruction
methods, such as the difficulty of acquiring and processing multiple low-resolution images …

Deep Learning in Leaf Disease Detection (2014–2024): A Visualization-Based Bibliometric Analysis

J Chaki, D Ghosh - IEEE Access, 2024 - ieeexplore.ieee.org
The agriculture industry is critical to delivering high-quality food and contributes significantly
to the growth of economies and people which can be affected by the plant disease. This …

DeepSplice: a deep learning approach for accurate prediction of alternative splicing events in the human genome

M Abrar, D Hussain, IA Khan, F Ullah, MA Haq… - Frontiers in …, 2024 - frontiersin.org
Alternative splicing (AS) is a crucial process in genetic information processing that
generates multiple mRNA molecules from a single gene, producing diverse proteins …

Smart Agriculture: Advanced Rice Disease Detection Using YOLOv10 for Enhanced Crop Health Management

V Surya, S Santhi - 2024 3rd International Conference on …, 2024 - ieeexplore.ieee.org
Rice, an essential crop for global food security, faces significant threats from diseases that
impact both yields and economic stability. While traditional methods like SVM, KNN, and …

Advancing Tomato Crop Health: A CNN Approach to Leaf Disease Detection

G Verma - 2024 8th International Conference on Electronics …, 2024 - ieeexplore.ieee.org
One of the most grown crops worldwide, tomato plants are quite vulnerable to many leaf
diseases that could seriously lower quality and productivity. Effective control and reduction …