Effect of directional augmentation using supervised machine learning technologies: A case study of strawberry powdery mildew detection
Highlights•Extraction of representatives features by using image processing techniques.•
Developed the algorithms by using supervised machine learning technologies.•Suggesting
the best combination to acquire the highest classification accuracy.•Suggesting the best
combination to process a real-time processing.The study extracts representative features to
train a model with supervised machine learning (ML) to detect powdery mildew
(Sphaerotheca macularis f. sp. fragariae) on the strawberry leaves. Powdery mildew (PM) is�…
Developed the algorithms by using supervised machine learning technologies.•Suggesting
the best combination to acquire the highest classification accuracy.•Suggesting the best
combination to process a real-time processing.The study extracts representative features to
train a model with supervised machine learning (ML) to detect powdery mildew
(Sphaerotheca macularis f. sp. fragariae) on the strawberry leaves. Powdery mildew (PM) is�…