This chapter looks at food system innovations and digital technologies as important drivers of productivity growth and improved food and nutrition security.

This dataset consists of half-degree resolution simulated land use/land cover projections (in hectares) for the entire globe for the years 2005 and 2050.

Spatially explicit global cropping system data products, which provide critical information on harvested areas, crop yields, other management variables, are imperative to tackle current grand challenges such as global food security and climate cha

Advances in remote sensing and machine learning enable increasingly accurate, inexpensive, and timely estimation of poverty and malnutrition indicators to guide development and humanitarian agencies’ programming.

This paper applies a recurrent neural network (RNN) method to forecast cotton and oil prices. We show how these new tools from machine learning, particularly Long-Short Term Memory (LSTM) models, complement traditional methods.

Data on global agricultural production are usually available as statistics at administrative units, which does not give any diversity and spatial patterns; thus they are less informative for subsequent spatially explicit agricultural and environme

Heterogeneous and multidisciplinary data generated by research on sustainable global agriculture and agrifood systems requires quality data labeling or annotation in order to be interoperable.

Information on global cropland distribution and agricultural production is critical for the world's agricultural monitoring and food security.

Worldwide, crop production is intrinsically intertwined with biological, environmental and economic systems, all of which involve complex, inter-related and spatially-sensitive phenomena.

Understanding the global distribution of agricultural production provides valuable context for policymaking concerning development, wellbeing, and climate change.

Despite global reductions in hunger, malnutrition, and poverty, food and nutrition insecurity remain a global challenge.

By 2050, world population is estimated to reach 9.7 billion people (United Nations 2015).