Farming Systems Research and Extension

A recommendation domain is a group of farmers whose circumstances — agroecology, resources, constraints, and objectives — are similar enough that a single recommendation is likely to suit them all. It is the targeting unit of FSR/E: diagnosis, trial design, and recommendations are organized by domain so that research is relevant to a recognizable client group rather than to an artificial average across very different farms. Drawing domain boundaries well is one of the most consequential judgments in the whole method.

Conventional research optimizes single commodities under controlled, well-resourced station conditions and then disseminates a recommendation. FSR/E starts from the whole farm and farmer goals, diagnoses which constraints actually bind for a defined client group, and tests candidate technologies on farmers' own fields under their own management, evaluating them by farmers' criteria. The aim is adoptability: a technology that works on real, heterogeneous farms with real resource and risk constraints, validated through an iterative feedback cycle rather than a one-way transfer.

Because the question FSR/E asks is whether a technology will perform and be adopted under genuine farm conditions, not whether it can succeed under ideal ones. Placing trials on farmers' fields, often under farmer management, exposes the innovation to the actual soils, timing, labor, cash, and decisions it must survive, and lets farmers judge it by their own standards. A treatment effect that holds across many heterogeneous farmer fields is much stronger evidence of real-world relevance than a station result, which is why the on-farm trial anchors the FSR/E cycle.