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The paper presents TAGMI, an online open-access tool using Bayesian network models to assess the likelihood of success for agricultural water management (AWM) interventions at a sub-national level. By integrating social, human, physical, financial, and natural factors, the tool evaluates the potential for outscaling three specific technologies—soil water conservation/in situ rainwater harvesting, small-scale private irrigation, and small reservoirs for communal irrigation—within the Limpopo and Volta river basins. The authors use a climate change scenario to test the robustness of these interventions and argue for the further development of Decision Support Systems and the identification of implementation best practices for poverty-constrained smallholder systems.

The conference proceedings highlight the critical interdependence of water, energy, and food security, arguing that traditional centralized governance is insufficient for managing these risks. The document advocates for polycentric governance models, the use of NASA's Earth Observation data to monitor soil moisture and evapotranspiration, and the adoption of a 'bioeconomy' framework to create sustainable, renewable resource cycles. It specifically references the Lake Winnipeg bioeconomy project as a model for linking nutrient cycles with energy production. The report also notes that while Integrated Water Resources Management (IWRM) is a useful framework, its implementation at the basin scale is often hindered by political instability and a lack of intersectoral integration, particularly in developing countries.