Bangladeshi crops leaf disease detection using YOLOv8
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 …
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
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 …
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
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 …
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 …
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 …
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 …
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
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 …
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
Alternative splicing (AS) is a crucial process in genetic information processing that
generates multiple mRNA molecules from a single gene, producing diverse proteins …
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 …
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 …
diseases that could seriously lower quality and productivity. Effective control and reduction …