@article{453960514289441aa005905fbba140a0,
title = "An investigation into the potential of Gabor wavelet features for scene classification in wild blueberry fields",
author = "Gashaw Ayalew and Zaman, {Qamar Uz} and Schumann, {Arnold W.} and Percival, {David C.} and Chang, {Young Ki}",
note = "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: {\textcopyright} 2021 The Authors",
year = "2021",
month = jan,
doi = "10.1016/j.aiia.2021.03.001",
language = "English",
volume = "5",
pages = "72--81",
journal = "Artificial Intelligence in Agriculture",
issn = "2589-7217",
publisher = "KeAi Communications Co.",
}
