Strawberry Leaf Disease Detection
Deep learning-based detection of strawberry leaf diseases using CNN and VGG16 architectures.
Problem
Early detection of plant diseases is critical for agricultural yield. Manual inspection of strawberry leaves is time-consuming and error-prone.
Approach
Implemented and compared CNN and VGG16 deep learning architectures for automated classification of strawberry leaf diseases from images.
Outcome
Achieved accurate disease classification using transfer learning with VGG16, demonstrating the viability of deep learning for agricultural applications.
Technologies
PythonTensorFlowCNNVGG16