African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6863

Full Length Research Paper

Artificial intelligence and deep learning based technologies for emerging disease recognition and pest prediction in beans (phaseolus vulgaris l.): A systematic review

Michael Pendo John Mahenge
  • Michael Pendo John Mahenge
  • Department of Informatics and Information Technology, Sokoine University of Agriculture, United Republic of Tanzania.
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Hussein Mkwazu
  • Hussein Mkwazu
  • Department of Informatics and Information Technology, Sokoine University of Agriculture, United Republic of Tanzania.
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Camilius A. Sanga
  • Camilius A. Sanga
  • Department of Informatics and Information Technology, Sokoine University of Agriculture, United Republic of Tanzania.
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Richard Raphael Madege
  • Richard Raphael Madege
  • Department of Crop Science and Horticulture, Sokoine University of Agriculture, United Republic of Tanzania.
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Beatrice Mwaipopo
  • Beatrice Mwaipopo
  • Department of Crop Science and Horticulture, Sokoine University of Agriculture, United Republic of Tanzania.
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Caroline Maro
  • Caroline Maro
  • Department of Crop Science and Horticulture, Sokoine University of Agriculture, United Republic of Tanzania.
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  •  Received: 29 September 2022
  •  Accepted: 15 December 2022
  •  Published: 31 March 2023

How to cite this article

APA /
Mahenge, M. P. J., Mkwazu, H., Sanga, C. A., Madege, R. R., Mwaipopo, B., & Maro, C. (2023). Artificial intelligence and deep learning based technologies for emerging disease recognition and pest prediction in beans (phaseolus vulgaris l.): A systematic review. African Journal of Agricultural Research, 19(3), 260-271.
Chicago /
Michael Pendo John Mahenge, Hussein Mkwazu, Camilius A. Sanga, Richard Raphael Madege, Beatrice Mwaipopo and Caroline Maro  . "Artificial intelligence and deep learning based technologies for emerging disease recognition and pest prediction in beans (phaseolus vulgaris l.): A systematic review." African Journal of Agricultural Research 19, no. 3 (2023): 260-271.
MLA /
Michael Pendo John Mahenge, et al. "Artificial intelligence and deep learning based technologies for emerging disease recognition and pest prediction in beans (phaseolus vulgaris l.): A systematic review." African Journal of Agricultural Research 19.3 (2023): 260-271.
DOI /
https://doi.org/10.5897/AJAR2022.16226
URL /
https://academicjournals.org/journal/AJAR/article-abstract/986C91670471

Copyright © 2024 Author(s) retain the copyright of this article.

This article is published under the terms of the Creative Commons Attribution License 4.0

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