Real‐time detection of strawberry powdery mildew disease using a mobile machine vision system

Md Mahmud Sultan; Qamar U. Zaman; Travis J. Esau; Young K. Chang; Gordon W. Price; Balakrishnan Prithiviraj

doi:10.3390/agronomy10071027

Real‐time detection of strawberry powdery mildew disease using a mobile machine vision system

Md Mahmud Sultan, Qamar U. Zaman, Travis J. Esau, Young K. Chang, Gordon W. Price, Balakrishnan Prithiviraj

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

Original language	English
Article number	1027
Journal	Agronomy
Volume	10
Issue number	7
DOIs	https://doi.org/10.3390/agronomy10071027
Publication status	Published - Jul 2020

ASJC Scopus Subject Areas

Agronomy and Crop Science

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10.3390/agronomy10071027

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title = "Real‐time detection of strawberry powdery mildew disease using a mobile machine vision system",

author = "{Mahmud Sultan}, Md and Zaman, {Qamar U.} and Esau, {Travis J.} and Chang, {Young K.} and Price, {Gordon W.} and Balakrishnan Prithiviraj",

note = "Funding Information: Funding: This research was financially supported by the following grant sources: Doug Bragg Enterprises, Dalhousie University, Natural Sciences and Engineering Research Council of Canada Discovery Grants Program (RGPIN‐2017‐05815), and Nova Scotia Graduate Research and Innovation Scholarship. Publisher Copyright: {\textcopyright} 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).",

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AU - Mahmud Sultan, Md

AU - Zaman, Qamar U.

AU - Esau, Travis J.

AU - Chang, Young K.

AU - Price, Gordon W.

AU - Prithiviraj, Balakrishnan

N1 - Funding Information: Funding: This research was financially supported by the following grant sources: Doug Bragg Enterprises, Dalhousie University, Natural Sciences and Engineering Research Council of Canada Discovery Grants Program (RGPIN‐2017‐05815), and Nova Scotia Graduate Research and Innovation Scholarship. Publisher Copyright: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).

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Real‐time detection of strawberry powdery mildew disease using a mobile machine vision system

ASJC Scopus Subject Areas

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