Digitalization of precision fertilization in East Africa: adoption, benefits and losses

Introduction The rapid digitalization of agriculture in East Africa has spurred the adoption of precision fertilization tools, which optimize nutrient application and enhance crop yields. However, the extent of digital technology adoption, its benefits, and the challenges smallholder farmers face in the region remain unclear. Methods A systematic review adhering to PRISMA guidelines assessed the adoption of digital technologies for precision fertilization in East Africa. A comprehensive search of English-language studies published between 2010 and 2024 resulted in fifteen studies that met the inclusion criteria. Results The review highlights digital solutions that assist smallholder farmers in sustainable resource management, including mobile applications, ICT tools, Variable Rate Application (VRA), and AI/ML technologies. Reported benefits include improved crop productivity, increased economic efficiency, and enhanced environmental sustainability. However, issues with data accuracy, limited access to technology, affordability constraints, and low digital literacy hinder widespread adoption. Discussion The findings emphasize the need for further research and the development of tailored strategies to enhance digital agricultural practices in East Africa. Addressing socioeconomic and infrastructure challenges is crucial to ensuring equitable access and maximizing the effectiveness of digital precision fertilization tools. This review provides valuable insights to support stakeholders in developing sustainable, data-driven agricultural frameworks to improve regional food security.

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Publication Details

Journal
Frontiers in Sustainable Food Systems
Published
2025-03-11
DOI
https://doi.org/10.3389/fsufs.2025.1497577
Citations
4
Primary Topic
3D Modeling in Geospatial Applications
Type
article
Field-Weighted Citation Impact
4.03
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article

Digitalization of precision fertilization in East Africa: adoption, benefits and losses

Kadeghe G. Fue, Lisé Korsten, Geofrey Prudence Baitu, Osden Jokonya et al.
4 citations
Frontiers in Sustainable Food Systems
3D Modeling in Geospatial Applications
4.03
article

Digitalization of precision fertilization in East Africa: adoption, benefits and losses

Kadeghe G. Fue, Lisé Korsten, Geofrey Prudence Baitu, Osden Jokonya, Steven Banwart
article en
4 citations

Abstract

Introduction The rapid digitalization of agriculture in East Africa has spurred the adoption of precision fertilization tools, which optimize nutrient application and enhance crop yields. However, the extent of digital technology adoption, its benefits, and the challenges smallholder farmers face in the region remain unclear. Methods A systematic review adhering to PRISMA guidelines assessed the adoption of digital technologies for precision fertilization in East Africa. A comprehensive search of English-language studies published between 2010 and 2024 resulted in fifteen studies that met the inclusion criteria. Results The review highlights digital solutions that assist smallholder farmers in sustainable resource management, including mobile applications, ICT tools, Variable Rate Application (VRA), and AI/ML technologies. Reported benefits include improved crop productivity, increased economic efficiency, and enhanced environmental sustainability. However, issues with data accuracy, limited access to technology, affordability constraints, and low digital literacy hinder widespread adoption. Discussion The findings emphasize the need for further research and the development of tailored strategies to enhance digital agricultural practices in East Africa. Addressing socioeconomic and infrastructure challenges is crucial to ensuring equitable access and maximizing the effectiveness of digital precision fertilization tools. This review provides valuable insights to support stakeholders in developing sustainable, data-driven agricultural frameworks to improve regional food security.

Frontiers in Sustainable Food SystemsVol. 9
University of Leeds (GB), University of Dar es Salaam (TZ), University of Pretoria (ZA), Sokoine University of Agriculture (TZ), University of the Western Cape (ZA)
Openalex Percentile: Top 8%
3D Modeling in Geospatial Applications
4.03
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