Corrigendum: mPD-APP: a mobile-enabled plant diseases diagnosis application using convolutional neural network toward the attainment of a food secure world

Front Artif Intell. 2023 Nov 22:6:1325606. doi: 10.3389/frai.2023.1325606. eCollection 2023.

¹ Department of Computer Science, Landmark University, Omu-Aran, Nigeria.
² Landmark University SDG 11 (Sustainable Cities and Communities Research Group), Omu-Aran, Nigeria.
³ School of Mathematics, Statistics and Computer Science, University of Kwazulu-Natal, Durban, South Africa.
⁴ Department of Electrical and Computer Engineering, Santa Clara University, Santa Clara, CA, United States.
⁵ Department of Agricultural Economics and Extension, Landmark University, Omu-Aran, Nigeria.

Abstract

[This corrects the article DOI: 10.3389/frai.2023.1227950.].

Keywords: SDG2; convolutional neural networks; diseases diagnosis system; mobile-enabled; pathogens.