Eziamaka, Afam-Ezeaku, Chikaodili and Nnajiofor, Okigbo, Raphael (2025) The Role of Digital Technologies in Advancing Plant Pathology in Africa. Asian Journal of Plant and Soil Sciences, 10 (1). pp. 12-25.
Eziamaka1012024AJOPSS12606.pdf - Published Version
Download (465kB)
Abstract
Diagnosing plant diseases is a complex process that blends science and intuition. The integration of digital technologies, including machine learning, AI, and mobile applications, offers significant opportunities for plant pathology research and practice in Africa. These tools enable the efficient processing of large datasets, timely disease diagnosis, and precision agriculture, enhancing productivity and food security. The use of digital technologies to enhance data analysis methodologies presents a huge opportunity for African plant pathology research. this contains details about managing livestock, access to finance facilities, market availability and produce pricing, precision farming and irrigation, pest and disease control, and extension services. However, challenges such as limited access to technology and digital literacy persist. This study explores current advancements, challenges, and the potential of digital tools to transform plant pathology in Africa, paving the way for innovative, sustainable agricultural practices.
Importance of the work:
The work shows how digital instruments can be used to treat plant diseases.
IT also shows the developments in imaging tools and analysis approaches to provide an overview of the state of digital plant pathology research at the moment in Africa.
Objectives:
1. To examine how digital instruments are used to treat plant diseases.
2. To offer a possible new avenue for African research in digital plant pathology.
Item Type: | Article |
---|---|
Subjects: | South Archive > Agricultural and Food Science |
Depositing User: | Unnamed user with email support@southarchive.com |
Date Deposited: | 08 Jan 2025 11:04 |
Last Modified: | 08 Jan 2025 11:04 |
URI: | http://researchers.globalresearcheprints.in/id/eprint/1519 |