Background Most of the 10 million Kenyans lacking food security lived in the arid and semi-arid northern part of the country in a climatic condition of high temperatures and very little...
Search results (7)
Showing results 1 to 7
Digital Europa Thesaurus
machine learning policymaking
Motivated by the deterioration in global food security conditions, this paper develops a parsimonious machine learning model to derive a multi-year outlook of global severe food insecurity from macro-economic...
Using machine learning to empower policymakers with a deeper comprehension of citizens' values and aspirations concerning policy matters.
Highlights
Agriculture 4.0 comprises radical digital and biotechnological innovations.
Agriculture 4.0 may have pervasive effects on future agricultural and food systems.
More...
Defining and measuring food insecurity at the household level is critical for policymakers, aid agencies, and international organizations. Food insecurity indicators, such as the Food Consumption Score, are...
Estimating how many people are food insecure and where they are is of fundamental importance for governments and humanitarian organizations to make informed and timely decisions on relevant...
Structural and rural transformation in a country are intricately linked to food system outcomes. Structural transformation captures a country’s level of dependence on agriculture, while rural transformation...