Multi-Head Plant Disease Classification for African Food Security Using MobileNetV3-Small

Key Points

• The research aims to enhance food security in Africa through the classification of plant diseases.
• Developed a multi-head classification model using MobileNetV3-Small for plant disease identification.
• Utilized computer vision techniques for accurate image analysis of plant leaves.
• Implemented a code repository for further accessibility and collaboration.
• Achieved high accuracy in classifying various plant diseases.
• Demonstrated the potential of AI in improving agricultural outcomes.
• Showed notable improvements compared to traditional classification methods.