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February 28, 20260 citationsOpen Access

Precision Agriculture Techniques for Maize Yield Enhancement in Mugera District, Rwanda: An African Perspective

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TUTumucwa UwimanaKNKizito Nshuti

Key Points

  • The study aims to evaluate the impact of precision agriculture techniques on maize yields in Mugera District.
  • Conducted a comprehensive literature review
  • Analyzed case studies and experimental data
  • Focused on variable rate application of fertilizers and irrigation systems
  • Precision agriculture increased maize yield by up to 15% compared to traditional methods
  • Significant improvement in soil moisture management was observed
  • Confirmatory evidence of precision farming's effectiveness for enhancing maize yields and sustainability

Abstract

Precision agriculture techniques are increasingly being applied to improve crop yields in various regions, including Rwanda's Mugera District. A comprehensive literature review was conducted, analysing case studies and experimental data from recent years focusing on precision farming techniques such as variable rate application (VRA) of fertilizers and irrigation systems. Precision agriculture has shown significant potential in increasing maize yield by up to 15% compared to traditional methods, with a notable improvement in soil moisture management leading to optimal plant growth conditions. The review confirms that precision farming can be an effective tool for enhancing maize yields and improving environmental sustainability in Mugera District. However, further research is needed to assess long-term impacts on biodiversity and ecosystem services. Investment should be directed towards implementing these technologies with proper training of farmers and collaboration between agricultural extension services and technology providers. Precision Agriculture, Maize Yield Enhancement, Mugera District, Rwanda The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.

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Cite This Study

Uwimana et al. (2004) studied this question.

synapsesocial.com/papers/69a287350a974eb0d3c02c50https://doi.org/10.5281/zenodo.18790354
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