MCFFA-Net: Multi-Contextual Feature Fusion and Attention Guided Network for Apple Foliar Disease Classification

• Published in: arXiv.org
• Main Authors: Ahmed, Md Rayhan, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed, Ahmed, Tanveer
• Format: Paper Journal Article
• Language: English
• Published: Ithaca Cornell University Library, arXiv.org 25.11.2022
• Subjects: Classification; Computer networks; Computer Science - Computer Vision and Pattern Recognition; Deep learning; Economic impact; Feature extraction; Machine learning; Signs and symptoms

Numerous diseases cause severe economic loss in the apple production-based industry. Early disease identification in apple leaves can help to stop the spread of infections and provide better productivity. Therefore, it is crucial to study the identification and classification of different apple foli...