This study presents a high-accuracy deep learning-based decision support system for
kidney cancer detection. The research utilizes a relatively large dataset of 10,000 CT …

Deep learning approaches have been widely applied for agricultural disease detection.
However, considerable challenges still exist, such as low recognition accuracy in complex …

This paper presents a novel approach to agricultural disease diagnostics through the
integration of Deep Learning (DL) techniques with Visual Question Answering (VQA) …

Potato virus Y (PVY) has been a long-standing problem for potato growers over the world,
due to its ability to cause significant reductions in crop yields. The yield losses due to PVY …

Wheat is one of the crucial cereal crops globally, and its productivity is affected by various
diseases. Therefore, the timely and precise detection and classification of these diseases …