Food security and nutrition and sustainable agriculture

Current food systems are failing to guide children towards healthy diets. This paper presents a tool to identify the actions needed to reorient food systems to become more child-centred from a nutrition perspective. To connect the dots between children's lives, their food environments and food supply systems, the tool takes a child-centred, food systems approach.
This paper focuses on the most proximate determinants of dietary intake: food behaviors of caregivers, children and adolescents. Utilizing a case study approach, we explored cultural-ecological factors that have been shown to affect behavioral interventions aimed improving diet quality. The results provide insights about facilitators and barriers to uptake of interventions aimed at improving dietary behaviors in children and adolescents and highlight their implications for planning and monitoring future interventions.
Unhealthy food marketing has long been identified as a systems factor with negative health effects on children. The data-driven, personal data extraction and behavioural design practices of 21st century media advertising in digital technology systems mean that food marketing now sits at the intersection of multiple harms, infringing not only children's rights to health and to food, but also their rights to privacy and to be free from exploitation. This further sharpens the need for State regulation to protect children and their rights effectively.
Building on the Innocenti Framework on Food Systems for Children and Adolescents, this paper describes the significance of a food systems approach to improving children's diets. It summarizes the key learnings on effective intervention design from the papers in this special issue, focusing on the determinants in the framework: food supply chains, food environments, and behaviors of caregivers, children and adolescents. It lays out relevant policy and programmatic implications and organizes these according to the Nuffield ladder of public policy interventions.
Elsevier, International Journal of Critical Infrastructure Protection, Volume 31, December 2020
Early and accurate anomaly detection in critical infrastructure (CI), such as water treatment plants and electric power grid, is necessary to avoid plant damage and service disruption. Several machine learning techniques have been employed for the design of an effective anomaly detector in such systems. However, threats such as from insiders and state actors, introduce challenges in the design of an effective anomaly detector. This work presents a multi-layer perceptron (MLP) based anomaly detector that uses an unsupervised approach to safeguard CI from the adverse impacts of cyber-attacks.
Elsevier, Trends in Food Science and Technology, Volume 106, December 2020
Background: Agricultural production in controlled indoor farming offers a reliable alternative to food and nutrition supply for densely populated cities and contributes to addressing the impending food insecurity. Leafy vegetables, rich in vitamins, minerals, fibres and antioxidants, account for over half of the indoor farming operations worldwide. Light is the foremost environmental factor for plant growth and development, and the success of indoor farming largely depends on lighting qualities.
Elsevier, International Journal of Gastronomy and Food Science, Volume 22, December 2020
When studying perceptions of eating insects among new consumer groups, the focus is often on factors that make people avoid novel foods. In order to switch perspective and broaden the understanding of drivers for choosing insects as food, this pilot study aimed to explore the reasons for eating insects among Swedish adults with an interest in entomophagy. Data were collected via a questionnaire combined with workshop discussions.
Elsevier, Current Opinion in Food Science, Volume 36, December 2020
The massive rise of Big Data generated from smartphones, social media, Internet of Things (IoT), and multimedia, has produced an overwhelming flow of data in either structured or unstructured format. Big Data technologies are being developed and implemented in the food supply chain that gather and analyse these data. Such technologies demand new approaches in data collection, storage, processing and knowledge extraction. In this article, an overview of the recent developments in Big Data applications in food safety are presented.
Elsevier,

Lancet Planetary Health, Volume 5, Issue 1, January 2021, Pages e50–e62.

This Personal View addresses SDGs 2, 3, 10, and 12 by exploring the potential consequences of food system innovations in relation to the SDGs. The authors highlight the negative consequences that standalone innovations can have for some sustainability goals, particularly for reducing inequalities and improving social justice. They identify ways in which technical innovations could be embedded in systemic changes to address trade-offs between positive and negative outcomes of their implementation.
This book chapter addresses SDGs 3 and 10 by explaining US and EU regulatory requirements, Global Food Safety Initiative requirements, and reviews food fraud vulnerabiility.

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