In the published article, there was an error in the Funding statement. The funding statement did not use the text that is on the project agreement with the funder. The funding statement was displayed as: “The research project was funded by two grants: (1) The 2019 Early Career Fellowship Program of the Organization for Women in Science for the Developing World (OWSD) and (2) The International Development Research Center (IDRC) with IDRC Grant Number: 109187-002 through the 2020 IndabaX-AI4D Innovation Grant.”
The correct Funding statement appears below.
Funding
This work was carried out with the aid of a grant from UNESCO and the International Development Research Center, Ottawa, Canada. The views expressed herein do not necessarily represent those of UNESCO, IDRC, or its Board of Governors.
The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.
Publisher's note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Summary
Keywords
deep learning, agriculture, poultry disease diagnostics, dataset, image classification
Citation
Machuve D, Nwankwo E, Mduma N and Mbelwa J (2022) Corrigendum: Poultry diseases diagnostics models using deep learning. Front. Artif. Intell. 5:1016695. doi: 10.3389/frai.2022.1016695
Received
11 August 2022
Accepted
12 August 2022
Published
01 September 2022
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
5 - 2022
Updates
Copyright
© 2022 Machuve, Nwankwo, Mduma and Mbelwa.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Dina Machuve dina.machuve@nm-aist.ac.tz
†These authors have contributed equally to this work and share first authorship
This article was submitted to AI in Food, Agriculture and Water, a section of the journal Frontiers in Artificial Intelligence
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.