Abstract
Unabated pressures on food systems affect food security on a global scale. A human-centric artificial intelligence-based probabilistic approach is used in this paper to perform a unified analysis of data from the Global Food Security Index (GFSI). The significance of this intuitive probabilistic reasoning approach for predictive forecasting lies in its simplicity and user-friendliness to people who may not be trained in classical computer science or in software programming. In this approach, predictive modeling using a counterfactual probabilistic reasoning analysis of the GFSI dataset can be utilized to reveal the interplay and tensions between the variables that underlie food affordability, food availability, food quality and safety, and the resilience of natural resources. Exemplars are provided in this paper to illustrate how computational simulations can be used to produce forecasts of good and bad conditions in food security using multi-variant optimizations. The forecast of these future scenarios is useful for informing policy makers and stakeholders across domain verticals, so they can make decisions that are favorable to global food security.
Highlights
One of the key sustainability issues is how food security is to be accomplished in the face of a projected population of over 9 billion by 2050 and to reduce more ecological degradation [1]
The current paper provides an approach which facilitates discussions about global food security with descriptive analytics, in conjunction with predictive simulations via Bayesian Network (BN) using the indicators and data from the Global Food Security Index (GFSI) [48]
The red line represents the gain curve that utilized the predictive SustaBinNabmilitoyd2e0l2.0T, 1h2e, 6G2i7n2i index of 70.77% and relative Gini index of 99.96% imply that the gains of using 9 of 14 this predictive model were acceptably good
Summary
One of the key sustainability issues is how food security is to be accomplished in the face of a projected population of over 9 billion by 2050 and to reduce more ecological degradation [1]. The patterns of food consumption are changing rapidly with a rise in the average wealth ( in the developing middle class in much of the world) [2]. As reported by the Food and Agriculture Organization of the United Nations (FAO), almost a billion people lack adequate calories and more than two billion lack adequate nutrients [3]. An increased appetite for animal products, could affect environmental health [5]
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
