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March 5, 20260 citationsOpen Access

Adoption and Financial Outcomes of Mobile Agriculture Apps in Crop Yield Prediction Among Farmers in Eastern Uganda

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NMNakibinge MuhindoKKKabasso KiraboMOMuteesa Okello

Key Points

  • This research aims to evaluate the adoption and financial impact of mobile agriculture apps for crop yield prediction among farmers in Eastern Uganda.
  • Mixed-methods approach including surveys, interviews, and focus groups.
  • Sample size of 150 farmers from Eastern Uganda.
  • Data analysis using descriptive statistics and thematic analysis.
  • 60% of surveyed farmers adopted mobile agriculture apps for yield prediction.
  • Significant increase in average annual profits by 25% attributed to app adoption.
  • Higher adoption rates correlate with greater financial gains.

Abstract

Mobile agriculture apps have emerged as a tool for improving crop yield prediction in agricultural practices worldwide. In Eastern Uganda, mobile apps are increasingly used by farmers to enhance their farming efficiency and profitability. A mixed-methods approach was employed, involving surveys, interviews, and focus groups with a sample size of 150 farmers from Eastern Uganda. Data were analysed using descriptive statistics and thematic analysis. The findings revealed that 60% of surveyed farmers adopted mobile agriculture apps for crop yield prediction, primarily due to increased accuracy in predicting yields compared to traditional methods. Financial outcomes showed a significant increase in average annual profits by 25%, with higher adoption rates correlating with greater financial gains. Mobile agriculture apps have become an integral part of Ugandan farmers' practices, offering substantial benefits in terms of yield prediction and economic returns. However, continued support is needed to overcome technological barriers and ensure widespread adoption among all farmer demographics. Policy makers should provide subsidies for mobile devices and internet access, while agricultural extension services need to be trained on app usage and its integration into farming practices. Mobile Agriculture Apps, Crop Yield Prediction, Eastern Uganda, Financial Outcomes, Adoption Rates

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Cite This Study

Muhindo et al. (2007) studied this question.

synapsesocial.com/papers/69a91e65d6127c7a504c2581https://doi.org/10.5281/zenodo.18853349
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Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Mobile Agriculture Apps in South Sudan: Adoption Rates and Yield Projections2008
  2. 2Mobile Technologies in Agricultural Extension Services: Adoption and Outreach in Eastern Uganda2002
  3. 3Adoption and Viability Analysis of Mobile Money Apps in Agricultural Supply Chains in Southern Uganda: A Qualitative Study2001
  4. 4Mobile Innovations in Agricultural Information Dissemination: A Senegalese Perspective2011
  5. 5Mobile Apps and Crop Insurance: Analysis of Adoption by Ghanaian Smallholder Farmers2007