Data supporting the net agronomic assessment of yield limiting factors in maize production in Machakos county, Kenya
Published: 8 March 2021| Version 1 | DOI: 10.17632/v73y4prm8b.1
This dataset was produced in 2017 by a combination of field measurements and farmer survey. The data was collected for a research study with the aim of identifying and testing accurate, consistent, and cost-effective measurement tools and methodologies for evaluating the outcomes of agricultural projects.Soils data was analysed by wet spectral methods to generate estimates of the Nitrogen (N), Phosporus (K), and potassium (P) levels in the soils which was then used as inputs for a stochastic crop production model. The socioeconomic data, combined with the crop production model, was used in a risk-return model to project the potential of profits for farmers engaged in maize production in Machakos County.
World Agroforestry Centre
Agricultural Economics, Decision Analysis, Monte Carlo Simulation, Crop Simulation Model