In a novel approach to tackling global hunger, researchers have turned to artificial intelligence to predict future food security, with significant implications for maritime trade and logistics. Ghada Alturif, from the Department of Social Work at Princess Nourah bint Abdulrahman University in Riyadh, Saudi Arabia, led a study that applied one-dimensional convolutional neural networks (1D-CNN) to forecast hunger index scores for five countries: the US, Saudi Arabia, China, Egypt, and Sweden, up to the year 2030.
The research, published in *Frontiers in Sustainable Food Systems* (which translates to *Frontiers in Sustainable Food Systems* in English), analyzed historical data from 2000 to 2022, focusing on agricultural, nutritional, and socioeconomic factors. The 1D-CNN model identified subtle temporal trends, aligning with global development patterns, to make accurate predictions about changes in hunger index scores.
“By identifying minor temporal trends in line with patterns of world development, the 1D-CNN model showed great accuracy in forecasting changes in hunger index scores,” Alturif explained. The predictions suggest potential improvements in reducing hunger and enhancing food security in the studied nations.
For the maritime sector, these insights are invaluable. Accurate forecasts of food security can help shipping companies, port operators, and logistics providers plan more efficiently. For instance, anticipating increased food demand in certain regions can drive investments in port infrastructure, cold storage facilities, and specialized vessels for perishable goods. Moreover, understanding future food security trends can guide maritime businesses in diversifying their services and expanding into new markets.
The study’s findings also present opportunities for international collaboration. As countries work towards Sustainable Development Goal 2 (Zero Hunger), maritime sectors can play a pivotal role in facilitating the transport of agricultural goods, humanitarian aid, and food supplies. This could lead to new partnerships between maritime companies and international organizations focused on food security.
“These forecasts encourage more focused initiatives and efficient use of resources, which will eventually speed up efforts to meet SDG 2 (Zero Hunger),” Alturif noted. For maritime professionals, this means staying informed about global food security trends and adapting their strategies to support these efforts.
In essence, the study highlights the potential of AI in predicting food security, offering maritime sectors a roadmap to navigate the evolving landscape of global hunger and trade. By leveraging these insights, maritime businesses can not only contribute to sustainable development but also capitalize on new commercial opportunities.