Accurate Disease

Accurate disease identification is a crucial objective across various fields, from agriculture to medicine, driving research into automated diagnostic systems. Current efforts heavily utilize deep learning, particularly convolutional neural networks (CNNs) and vision transformers, often enhanced with techniques like attention mechanisms and multimodal fusion to improve accuracy and robustness. These advancements are significantly impacting practical applications, enabling faster, more efficient, and potentially more accurate diagnoses in diverse settings, ranging from crop disease detection to medical imaging analysis, ultimately improving healthcare and agricultural outcomes.