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mPD-APP: a mobile-enabled plant diseases diagnosis application using convolutional neural network toward the attainment of a food secure world.
Asani, Emmanuel Oluwatobi; Osadeyi, Yomi Phineas; Adegun, Adekanmi A; Viriri, Serestina; Ayoola, Joyce A; Kolawole, Ebenezer Ayorinde.
Affiliation
  • Asani EO; Department of Computer Science, Landmark University, Omu-Aran, Nigeria.
  • Osadeyi YP; Landmark University SDG 11 (Sustainable Cities and Communities Research Group), Omu-Aran, Nigeria.
  • Adegun AA; Department of Computer Science, Landmark University, Omu-Aran, Nigeria.
  • Viriri S; School of Mathematics, Statistics and Computer Science, University of Kwazulu-Natal, Durban, South Africa.
  • Ayoola JA; School of Mathematics, Statistics and Computer Science, University of Kwazulu-Natal, Durban, South Africa.
  • Kolawole EA; Department of Electrical and Computer Engineering, Santa Clara University, Santa Clara, CA, United States.
Front Artif Intell ; 6: 1227950, 2023.
Article in En | MEDLINE | ID: mdl-37818427

Full text: 1 Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Year: 2023 Type: Article

Full text: 1 Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies Language: En Year: 2023 Type: Article