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 …
Developed the algorithms by using supervised machine learning technologies.•Suggesting …
Effect of directional augmentation using supervised machine learning technologies: a case study of strawberry powdery mildew detection.
J Shin, YK Chang, B Heung, NQ Tri, GW Price… - 2020 - cabidigitallibrary.org
Highlights:* Extraction of representatives features by using image processing techniques.*
Developed the algorithms by using supervised machine learning technologies.* Suggesting …
Developed the algorithms by using supervised machine learning technologies.* Suggesting …
Effect of directional augmentation using supervised machine learning technologies: A case study of strawberry powdery mildew detection
J Shin, YK Chang, B Heung… - Biosystems …, 2020 - ui.adsabs.harvard.edu
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 …
(ML) to detect powdery mildew (Sphaerotheca macularis f. sp. fragariae) on the strawberry …
