Ensemble-based Deep Feature Extraction using Pre-trained CNNs for Black Pepper Leaf Disease and Nutrient Deficiency Detection and Classification: BPLDNDNet

Key Points

• Effective feature extraction using pre-trained convolutional neural networks enhances disease detection.
• The classification accuracy reached 92% across various nutrient deficiency and disease categories.
• Ensemble-based methods integrate multiple CNNs to improve overall prediction performance.
• This research highlights advancements in agriculture through technology, enabling better crop management.