An investigation into the potential of Gabor wavelet features for scene classification in wild blueberry fields

TY - JOUR

T1 - An investigation into the potential of Gabor wavelet features for scene classification in wild blueberry fields

AU - Ayalew, Gashaw

AU - Zaman, Qamar Uz

AU - Schumann, Arnold W.

AU - Percival, David C.

AU - Chang, Young Ki

N1 - Funding Information: We would like to thank Oxford Frozen Foods Limited, Canada ; Agriculture and Agri-food Canada under grant NS-Agri-Futures (ACAAF) under ACAAF-NS0153 (2007–2010) and Department of Agriculture Technology Development Program for jointly funding the project partially; and Dr. Travis Esau, Dr. Aitazaz Farooque, Mr. Kelsey Laking and Mr. Scott Read for their assistance during the collection of images. First author would also like to thank Professor Tessema Astatkie for his collegiality and his family for their support. Publisher Copyright: © 2021 The Authors

PY - 2021/1

Y1 - 2021/1

UR - http://www.scopus.com/inward/record.url?scp=85104109579&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85104109579&partnerID=8YFLogxK

U2 - 10.1016/j.aiia.2021.03.001

DO - 10.1016/j.aiia.2021.03.001

M3 - Article

AN - SCOPUS:85104109579

SN - 2589-7217

VL - 5

SP - 72

EP - 81

JO - Artificial Intelligence in Agriculture

JF - Artificial Intelligence in Agriculture

ER -