Summary
This narrative review examines the state of precision irrigation decision-support systems for centre pivot irrigation in semi-arid environments. The authors identify four key challenge areas limiting adoption: data scalability, quantification of plant water stress, model uncertainties, and farmer engagement. The paper proposes solutions including satellite-derived data fusion, mechanistic plant stress indicators, data-model integration methods, and improved policy incentives to advance the field.
Regional applicability
Whilst conducted in a United States context, the challenges and opportunities identified are relevant to United Kingdom irrigated agriculture, particularly in the drier eastern regions where centre pivot systems are increasingly deployed. However, UK adoption patterns, water availability constraints, and regulatory frameworks differ significantly, requiring contextualisation of recommendations.
Key measures
Challenges and opportunities in precision irrigation decision-support systems; data availability and scalability; plant water stress quantification methods; model uncertainties; producer participation and motivation
Outcomes reported
This review surveyed existing precision irrigation research, tools, and technologies to identify four key challenge areas (data availability, plant water stress quantification, model uncertainties, and producer adoption) and opportunities to address them in center pivot irrigation systems. The paper synthesises peer-reviewed literature, university extension resources, and industry products to guide future development of decision-support systems.
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