Effect of directional augmentation using supervised machine learning technologies: A case study of strawberry powdery mildew detection

TY - JOUR

T1 - Effect of directional augmentation using supervised machine learning technologies

T2 - A case study of strawberry powdery mildew detection

AU - Shin, Jaemyung

AU - Chang, Young K.

AU - Heung, Brandon

AU - Nguyen-Quang, Tri

AU - Price, Gordon W.

AU - Al-Mallahi, Ahmad

N1 - Funding Information: This research was funded by Natural Science and Engineering Research Council of Canada (NSERC) Discovery Grants Program (RGPIN-2017-05815).This work was also supported by the Nova Scotia Research and Innovation Graduate Scholarship Program and Dalhousie Entrance/In-course Scholarship Programs. The authors would like to thank Millen farm and Balamore farm to providing field access for image collection and experiment. Funding Information: This research was funded by Natural Science and Engineering Research Council of Canada (NSERC) Discovery Grants Program ( RGPIN-2017-05815 ). Publisher Copyright: © 2020 IAgrE

PY - 2020/6

Y1 - 2020/6

UR - http://www.scopus.com/inward/record.url?scp=85082794580&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85082794580&partnerID=8YFLogxK

U2 - 10.1016/j.biosystemseng.2020.03.016

DO - 10.1016/j.biosystemseng.2020.03.016

M3 - Article

AN - SCOPUS:85082794580

SN - 1537-5110

VL - 194

SP - 49

EP - 60

JO - Biosystems Engineering

JF - Biosystems Engineering

ER -