Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Construction of a generalised farm typology to aid selection, targeting and scaling of onfarm research

Kirsty L. Hassall, Frédéric Baudron, Chloe MacLaren, Jill E. Cairns, Thokozile Ndhlela, S. P. McGrath, Isaiah Nyagumbo, Stephan M. Haefele

Computers and Electronics in Agriculture · 2023

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Summary

This paper addresses a critical methodological gap in farm typology construction by developing a generalised framework that clarifies and quantifies the subjective decisions inherent in categorising diverse smallholder farming systems, particularly in sub-Saharan Africa. The authors encapsulate their framework in an open-source RShiny application (TypologyGenerator) to facilitate transparent, reproducible typology development for users conducting farm characterisation, sampling design, and intervention targeting. The framework enables researchers and practitioners to make informed decisions about farm classification whilst focusing on substantive research choices rather than technical implementation.

Regional applicability

Whilst developed with sub-Saharan African smallholder contexts in mind, the generalised framework may have limited direct application to UK farming systems, which tend to be larger, more mechanised, and regulated by different policy frameworks. However, the methodological approach to clarifying and quantifying subjective decisions in farm classification could be adapted for UK agro-typological research or for international comparative studies involving UK farms.

Key measures

Subjective decision points in farm typology construction and their quantified impacts on resulting typologies

Outcomes reported

The study presents a generalised framework for constructing farm typologies and quantifies the impact of subjective decisions made during typology construction. It encapsulates this framework in an open-source RShiny application (TypologyGenerator) to enable transparent and reproducible typology development.

Theme
Farming systems, soils & land use
Subject
Measurement methods & nutrient profiling
Study type
Research
Study design
Methodological framework development
Source type
Peer-reviewed study
Status
Published
Geography
Sub-Saharan Africa
System type
Mixed farming
DOI
10.1016/j.compag.2023.108074
Catalogue ID
BFmovbm9ep-0vonns

Topic tags

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