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As climate impacts farming, so does farming impact climate change. Identifying best-practices that optimise food security while protecting the environment is a key to sustainable food security. This chapter contributes to SDGs 2, 3 and 12.

Contributing to SDGs 2 and 3, this chapter argues that the use of specific foods to sustain or enhance overall health and wellness requires understanding and regulation to ensure realistic and optimal results.

China is a key player in global production, consumption, and trade of seafood. Given this dominance, Chinese choices regarding what seafood to eat, and how and where to source it, are increasingly important—for China, and for the rest of the world. This perspective explores this issue using a transdisciplinary approach and discusses plausible trajectories and implications for assumptions of future modeling efforts and global environmental sustainability and seafood supply.

The aging process changes the sensory sciences and can lead to malnutrition as eating becomes less pleasurable. This chapter explores how optimising food taste works toward ensuing ongoing good nutrition and health, contributing to SDGs 2 and 3.

This book presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring. This chapters address SDGs 2 and 9 by presenting methods related to the combination of sensors with Artificial Intelligence architectures in Precision Agriculture.

Humans, through agricultural fertilizer application, inject more reactive nitrogen (Nr) to terrestrial ecosystems than do natural sources. Ammonia volatilization is a major pathway of agricultural Nr loss. Using a process-based dynamic model, Shen et al. show that ammonia volatilization from agricultural land in the US will increase by up to 81% by the end of this century due to climate change alone, posing threats to food security, air quality, and ecosystem health, but mitigation strategies are available.

Producing food exerts pressures on the environment. Understanding the location and magnitude of food production is key to reducing the impacts of these pressures on nature and people. In this Perspective, Kuempel et al. outline an approach for integrating life cycle assessment and cumulative impact mapping data and methodologies to map the cumulative environmental pressure of food systems. The approach enables quantification of current and potential future environmental pressures, which are needed to reduce the net impact of feeding humanity.

Food exchange between human populations can mitigate the risk arising from variable food production. Networks of exchange vary according to context but tend to fall into a relatively small number of qualitatively different types, including altruism, reciprocity, and resource pooling. This apparent canalization raises the question of whether specific networks of food exchange exhibit features that allow them to persist in the longer term, and we address this question by using a model of food exchange among multiple populations.

A grand challenge facing humanity is how to produce food for a growing population in the face of a changing climate and environmental degradation. Although empirical evidence remains sparse, management strategies that increase environmental sustainability, such as increasing agroecosystem diversity through crop rotations, may also increase resilience to weather extremes without sacrificing yields.

The recovery of resources from waste streams including food production plants can improve the overall sustainability of such processes from both economic and environmental points of view. This is because resource recovery solutions will be instrumental in overcoming the grand societal challenges in relation to the Water-Energy-Food (WEF) nexus in one of many aspects.

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