Sustainable Food Systems Research Predicts Advancements in Global Hunger Index Scores
A new report published in Frontiers in Sustainable Food Systems has analyzed historical data from 2000 to 2022 to predict how well five countries (US, Saudi Arabia, China, Egypt, and Sweden) will fare in achieving Sustainable Development Goal 2 (SDG 2) between 2025 and 2030. The research, supported by the Deanship of Scientific Research at Princess Nourah Bint Abdulrahman University, used a one-dimensional Convolutional Neural Network (1D-CNN) model to forecast changes in hunger index scores.
Key Takeaways:
- The 1D-CNN model showed great accuracy in forecasting changes in hunger index scores, identifying minor temporal trends in line with global development patterns.
- The predictions point to possible advancements in the nations under study in terms of lowering hunger and enhancing food security.
- Policymakers, international organizations, and sustainability advocates may benefit from the insightful data offered by the suggested forecasting technique.
- The research encourages more focused initiatives and efficient use of resources, which will eventually speed up efforts to meet SDG 2 (Zero Hunger).
- Additional authors for this research include Ghada Alturif and Alaa A. El-Bary.
- The study used historical agricultural, nutritional, and socioeconomic data from 2000 to 2022 to train and verify the 1D-CNN model.
Statistics:
- 2000 to 2022: Historical data period used to train and verify the 1D-CNN model.
- 2025-2030: Forecast period for achieving SDG 2 targets.
- 0 to 100: Range of forecasts for hunger index scores.
- 5 countries: US, Saudi Arabia, China, Egypt, and Sweden, studied to predict their progress in achieving SDG 2.
Sources:
- "Applying 1d Convolutional Neural Networks To Advance Food Security In Support of Sdg 2" (Frontiers in Sustainable Food Systems, 2025; 9)
- NewsRx. Studies from Arab Academy for Science and Technology and Maritime Transport Add New Findings in the Area of Sustainable Food Systems (Ecology, Environment & Conservation, August 29, 2025; p 351)
- Arab Academy for Science and Technology and Maritime Transport
- Radwa Ahmed Osman (Arab Academy for Science and Technology and Maritime Transport)
- Frontiers Media SA (Lausanne, Ch-1015, Switzerland)