Digital agriculture platforms have emerged as a promising tool for enhancing agricultural productivity in developing countries. The Tanzanian Highlands present an ideal setting to explore the adoption rates and economic outcomes of these platforms, given their reliance on traditional farming methods and limited access to modern technologies. The research employs a combination of quantitative surveys and qualitative interviews. Quantitative data will be collected through structured questionnaires distributed among farmers in selected districts. Qualitative insights will be gathered from focus group discussions with local agricultural extension officers and semi-structured interviews with platform users. Analysis revealed that digital agriculture platforms were adopted at varying rates across different socio-economic strata, with higher adoption observed among younger and more educated farmers. Quantitative data showed a significant increase in crop yields of up to 20% where the platforms were used effectively. The study concludes that while digital agriculture platforms have shown promise in enhancing productivity and economic benefits for some farmers, further tailored interventions are needed to address adoption barriers such as low literacy rates and limited internet connectivity. To maximise the potential of these platforms, targeted training programmes should be developed for less tech-savvy farmers. Additionally, policy initiatives aimed at improving digital infrastructure in remote areas would facilitate wider platform uptake. Digital Agriculture Platforms, Tanzanian Highlands, Adoption Rates, Economic Outcomes
Mwenye Msuya (2001) studied this question.