Part 3 Digital Solutions for Disaster Risk Reduction in Agriculture – From Innovation to Implementation

Key messages

Digital technologies and tools are revolutionizing risk monitoring in agriculture. Interoperable digital platforms, transform raw climate, soil, socioeconomic and hazard data into actionable intelligence. Advanced analytics powered by AI and ML now deliver integrated hyperlocal, real-time and actionable risk information.
Given their potential to reduce the risk and impact of disasters, digital solutions are critical for agrifood system resilience. Data platforms bridge infrastructure gaps and allow for the timely and at-scale deployment of risk transfer mechanisms – for example, insurance or social protection. Advanced analytics help improve early warning systems and design anticipatory actions.
Digital solutions allow for a shift from a reactive response to proactive risk reduction and prevention. Improved access to real-time and actionable intelligence strengthens the ability of policymakers and farmers to take risk-informed decisions.
A digital transformation requires a comprehensive enabling environment. Digital transformation succeeds when innovation is matched with sustained investment in capacity development, institutional strengthening and enabling infrastructure. Coherent policy frameworks are essential to scale and sustain digital solutions, ensure alignment with local priorities, and create the conditions for long-term resilience building across agrifood systems.
Human-centred design dramatically improves adoption and impact. Digital solutions are most effective when they are co-designed with the communities they are supposed to serve – for example, smallholder farmers. Evidence shows that human-centred approaches significantly boost adoption and ensure that the benefits of digital innovation reach those most vulnerable and exposed to disaster risks.

Required citation:
FAO. 2025. The Impact of Disasters on Agriculture and Food Security 2025 – Digital solutions for reducing risks and impacts. Rome. https://doi.org/10.4060/cd7185en

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SPAIN. Crop fields flooded by a storm.

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^a The estimated average requirement is the daily nutrient intake estimated to meet the requirements of 50 percent of healthy individuals in a given population group. EARs are conventionally used to assess the adequacy of nutrient intakes at the population level and to derive probabilistic estimates of nutrient inadequacy. For energy, estimated energy requirements (EERs) were calculated based on the median global population age in 2021 (30 years), average height (1.7 m for men and 1.6 m for women), and calculated weight (63.6 kg for men and 56.3 kg for women), using a conservative recommended body mass index (BMI) of 22 kg/m². An active physical activity level (PAL) coefficient was applied (1.25 for men and 1.27 for women). Resulting energy requirements used in the estimation of daily losses were 2 500 kcal/day for men and 2 000 kcal/day for women. Although EERs can be estimated across four physical activity levels, the active PAL is recommended to maintain health. Energy requirements are thus defined as the amount of energy an individual must consume to sustain a stable body weight within a healthy BMI range (18.5–25 kg/m²), while maintaining adequate levels of physical activity.⁸⁶
^b Adaptive social protection systems typically integrate components of human capital development, disaster risk management, and climate adaptation and mitigation. Shock-responsive social protection is generally considered a subcomponent of adaptive social protection, with a primary focus on the linkages between social protection and disaster risk management. In some contexts, the two terms are used interchangeably.