Spatial Analysis of Factors Influencing Potato Mechanization Suitability in Nyandarua County

Abstract

This study investigates the spatial factors influencing the suitability of mechanization for potato production in Nyandarua County, Kenya, a region known for its significant agricultural potential yet facing challenges in enhancing productivity through modern farming practices. Employing a Geographic Information System (GIS)-based approach, we identified and analyzed key variables that affect the adoption of mechanized techniques, including soil type, topography, climate, access to markets, and infrastructural development. A comprehensive suitability analysis was conducted using multi-criteria evaluation (MCE) techniques, which integrated qualitative and quantitative data to generate a suitability map for potato mechanization. Field surveys and interviews with local farmers provided primary data, supplemented by secondary sources such as soil maps, climate data, and agricultural reports. The results reveal distinct spatial variations in mechanization suitability across the county. Areas with favorable soil conditions, optimal elevation ranges, and adequate access to markets emerged as the most suitable for mechanized potato farming. Conversely, regions with steep topography and inadequate infrastructure were identified as less favorable for mechanization. This study highlights the critical role of spatial analysis in understanding agricultural practices and offers insights for policymakers and stakeholders aiming to promote mechanization in potato production. By identifying suitable zones for mechanization, the findings contribute to the development of targeted strategies that enhance agricultural productivity, improve livelihoods, and promote sustainable farming practices in Nyandarua County. Ultimately, this research underscores the importance of integrating spatial analysis into agricultural planning and decision-making, providing a framework for future studies on the mechanization of other crops in varying agricultural contexts.