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

Gashaw Ayalew; Qamar Uz Zaman; Arnold W. Schumann; David C. Percival; Young Ki Chang

doi:10.1016/j.aiia.2021.03.001

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

Gashaw Ayalew, Qamar Uz Zaman, Arnold W. Schumann, David C. Percival, Young Ki Chang

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	72-81
Number of pages	10
Journal	Artificial Intelligence in Agriculture
Volume	5
DOIs	https://doi.org/10.1016/j.aiia.2021.03.001
Publication status	Published - Jan 2021

ASJC Scopus Subject Areas

General Agricultural and Biological Sciences
Artificial Intelligence
Computer Science Applications
Computer Science (miscellaneous)
Engineering (miscellaneous)

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.aiia.2021.03.001

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Ayalew, G., Zaman, Q. U., Schumann, A. W., Percival, D. C., & Chang, Y. K. (2021). An investigation into the potential of Gabor wavelet features for scene classification in wild blueberry fields. Artificial Intelligence in Agriculture, 5, 72-81. https://doi.org/10.1016/j.aiia.2021.03.001

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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",

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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

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

ASJC Scopus Subject Areas

UN SDGs

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