Food Supply Research Articles

Extent of alignment between the Australian Dietary Guidelines and the NOVA classification system across the Australian packaged food supply.

The Australian Dietary Guidelines are currently being revised and ultra-processed foods have been identified as a high priority action area. To better understand how well the current Dietary Guidelines align with level of processing classifications, the aim of this study was to assess the alignment between the Australian Dietary Guidelines and the NOVA classification system for classifying the healthiness of packaged foods. Data were sourced from the Australian FoodSwitch dataset, which included 28 071 packaged food and beverage products available in major Australian supermarkets in 2022. Products were classified as (i) core or discretionary (Australian Dietary Guidelines) and (ii) non-ultra-processed or ultra-processed (NOVA). Agreement between the two systems (core vs. non-ultra-processed and discretionary vs. ultra-processed) was evaluated using the kappa statistic. There was 'moderate' agreement (κ = 0.41, 95% CI: 0.40-0.42) between the Australian Dietary Guidelines and the NOVA system, with 69.8% of products aligned across the two systems. Alignment was more common for discretionary foods (80.6% were ultra-processed) than core foods (59.9% aligned were not-ultra-processed). Food categories exhibiting the strongest levels of alignment included confectionary, foods for specific dietary use, and egg and egg products. Discordance was most common for convenience foods, sugars, honey and related products, and cereal and grain products. Despite moderate alignment between the Australian Dietary Guidelines and NOVA, the discordance observed for almost one-third of products highlights the opportunity to develop recommendations for ultra-processed foods within the guidelines to advise Australians how these foods should be considered as part of a healthy diet.

Bystanders to a Public Health Crisis

Per- and polyfluoroalkyl substances (PFAS) are devastating our food systems and our health. Due to widespread use, these synthetic, long-lasting chemicals, are omnipresent at dangerous levels in our envi-ronment and our homes. Recent studies link even small exposure to PFAS to a host of adverse health outcomes, including cancer, autoim-mune diseases, thyroid disease, liver damage, childhood obesity, infer-tility, and birth defects. Food consumption is a primary route of PFAS exposure. PFAS mi-grate from water, soil, fertilizers, pesticides, and compost into virtually every plant, fish, animal, and animal product, and ultimately (in the greatest concentration) into the consumer. In addition, food pro-cessing equipment, disposable dishes, and containers leach dangerous levels of these chemicals into processed food products, further infusing our every meal with PFAS. Consequently, it is no surprise everything from chocolate cake and microwave popcorn to free range eggs, wildcaught fish, organic milk, and organic kale can harbor staggering quantities of these toxic substances. Despite the widespread presence of these substances and strong sci-entific evidence of their harmful impact on humans, federal regulation of PFAS in food is currently nonexistent. At least fifteen agencies have a mandate to ensure the safety of our food. More is not always better. In the case of regulatory agencies, it can lead to fragmented demand for attention, diffusion of responsibilities, and bureaucratic bystander apathy. This story has played out time and again with other toxic con-taminants like polychlorinated biphenyls (PCBs) and pesticides and is playing out yet again with PFAS. Despite our country’s devastating experience with past contaminants and the unprecedented scientific progress of our time, the federal response to new food safety threats has only become more sluggish and inadequate. This article lays a pathway for change, taking the issue of PFAS food contamination as a case study for the broader dysfunction in the food safety regulatory system. Part II reviews the history of federal food regulation and explores the role that each federal actor in the field plays in ensuring the safety of the food supply. Part III provides back-ground on the chemical and toxicological profile of PFAS and their widespread presence in the environment in general and the food sup-ply in particular. Part IV examines possible approaches to more effec-tive regulation of environmental contaminants in food and proposes a readily available but currently overlooked mechanism for combatting the current public health crisis of PFAS in food. Lastly, Part V cata-logues the expected benefits of the solution and addresses anticipated skepticism. It concludes that the proposed approach can effectively protect consumers from PFAS in food today, while simultaneously gar-nering much needed data to usher in a more permanent solution in the future.

The role of digital platforms in e-commerce food supply chain resilience under exogenous disruptions

Purpose Operational risks can cause considerable, atypical disturbances and impact food supply chain (SC) resilience. Indicatively, the COVID-19 pandemic caused significant disruptions in the UK food services as nationwide stockouts led to unprecedented discrepancies between retail and home-delivery supply capacity and demand. To this effect, this study aims to examine the emergence of digital platforms as an innovative instrument for food SC resilience in severe market disruptions. Design/methodology/approach An interpretive multiple case-study approach was used to unravel how different generations of e-commerce food service providers, i.e. established and emergent, responded to the need for more resilient operations during the COVID-19 pandemic. Findings SC disruption management for high-impact low-frequency events requires analysing four research elements: platformisation, structural variety, process flexibility and system resource efficiency. Established e-commerce food operators use partner onboarding and local waste valorisation to enhance resilience. Instead, emergent e-commerce food providers leverage localised rapid upscaling and product personalisation. Practical implications Digital food platforms offer a highly customisable, multisided digital marketplace wherein platform members may aggregate product offerings and customers, thus sharing value throughout the network. Platform-induced disintermediation allows bidirectional flows of data and information among SC partners, ensuring compliance and safety in the food retail sector. Originality/value The study contributes to the SC configuration and resilience literature by investigating the interrelationship among platformisation, structural variety, process flexibility and system resource efficiency for safe and resilient food provision within exogenously disrupted environments.

The Economics of Food Supply Chain Resilience

Food supply chain resilience has become a priority for policymakers in recent years. Prompted by several systemic disruptions and the increased likelihood of future shocks, significant attention and public financial investment have been devoted to preparing supply chains to be more able to absorb shocks and more nimbly respond in the future. Food and agricultural supply chains have been particularly scrutinized due to widespread shortages and food price inflation of key staples in recent years. Varied perspectives have emerged about the factors that contribute to the resiliency of food supply chains and the interventions that will be most effective. This article reviews the perspectives on food supply chain resilience generally. Furthermore, we attempt to synthesize the methodologies that have been used to study resilience and offer some guidance for economists studying the topic moving forward.

Plant Disease Detection Using Convolutional Neural Network

Plant disease detection is critical in agriculture, significantly impacting crop yield and food supply. This paper introduces an innovative approach utilizing deep learning and computer vision techniques to detect and classify plant diseases. The proposed method involves image processing to analyze leaf health conditions using a dataset of varied leaf images exhibiting disease manifestations. The model is trained to recognize distinct patterns associated with different diseases, enabling early detection and intervention. This AI-based system aims to enhance agricultural productivity, minimize crop losses, and contribute to food security. Furthermore, it has potential application in mobile platforms, providing farmers with a user-friendly tool for managing plant diseases. Nonetheless, challenges such as image condition variability and the necessity for comprehensive, diverse datasets for model training require further research and development.

Food supply chain network design under uncertainty and pandemic disruption

Food supply chain network design under uncertainty and pandemic disruption

Using winter diet composition and forage plant availability to determine browse selection and importance for moose (Alces alces) in a landscape modified by industrial forestry

Abstract Between 2000 and 2015, moose (Alces alces L.) populations within some areas of north-central British Columbia, Canada declined by 70%. Such declines are occurring in other regions within the range of moose. One cause for mortalities of cow and calf moose in British Columbia was apparent starvation, implying a potential connection to food supply. To investigate possible connections between moose declines and industrial forestry, we examined moose winter diets relative to browse availability in six Biogeoclimatic Ecosystem Classification subzones within north-central British Columbia. In the spring of 2017, we collected moose winter pellets. To assess diet, pellets were analyzed using microhistology, a common technique for quantifying the diets of ungulates. In the summer of 2018, we used a modified point-intercept method to survey browse plant availability at pellet collection sites. We related diet composition to plant availability through indices of selection (use of a forage species relative to availability) and values of importance (the proportion of a species in the diet as a function of its occurrence in the environment) of various browse items to moose. Twenty-eight species of potential browse plants were identified in our browse availability surveys. Only 12 of these plants were found in moose pellets, with four plants [subalpine fir (Abies lasiocarpa Hooker), willow (Salix spp. Linnaeus), paper birch (Betula papyrifera Marshall), and trembling aspen (Populus tremuloides Michaux)] comprising the majority (93.3%) of the diet. We used mixed-model analyses to examine differences between these top four winter diet items, in relation to: (i) diet composition; (ii) plant availability; (iii) selection by moose; and (iv) importance to moose. Subalpine fir (mean: 45.7%) was a significantly larger diet component in pellets than aspen (5.7%) and willow (19.5%), but there was no significant difference in the proportions of subalpine fir and birch (22.4%). Birch and willow were found in significantly higher proportions than aspen, but proportions of birch and willow in pellets did not differ. The availability of the top four diet items was not significantly different between species. Subalpine fir, aspen, birch, and willow were the most selected diet items, but selection was not significantly different between them. The importance values of subalpine fir, birch, and willow were not significantly different from one another, but all three were significantly greater than the importance value for aspen. Diet composition, availability, selection, and importance did not vary between subzones surveyed. The high selection for and importance of subalpine fir, birch, willow, and aspen by moose in winter demonstrate the need to ensure these browse species are maintained on moose ranges, especially where moose populations are declining. Where industrial forestry impacts the abundance and species composition of winter browses for moose, we encourage forest planners and managers to examine browse availability in relation to moose diet, so that the browse plants important to and selected for by moose can be integrated into forest management objectives.

Unlocking value: circular economy in ngos' food waste reduction efforts in Brazil and Togo

This article delves into the intriguing realm of food waste valorization conducted by nongovernmental organizations (NGOs) in two distinct locales—Brasilia, Brazil, and Lomé, Togo. The primary focus of this exploration is the lens of the Circular Economy (CE), a concept that emphasizes the sustainable utilization of resources within closed loops. The discourse is further enriched by introducing the notion of upcycling, a complementary force to the Circular Economy, particularly within the intricate web of food supply chains. The ReSOLVE framework, a strategic approach for managing food waste, is a guiding light in this research. Upon dissecting the outcomes, noteworthy limitations come to the forefront, shedding light on the challenges of aligning NGOs from both countries with the principles of the Circular Economy in their food waste management endeavors. These challenges assume heightened significance against the backdrop of the intricate global food security landscape, effectively underlining the intricacies of harmonizing the Circular Economy's ambitions with the pragmatic goal of diminishing food waste. The overarching objective of this study is to galvanize circular-oriented initiatives that can effectively curtail and prevent food wastage on a global scale, with a particular emphasis on developing nations. This pursuit is underscored by the triad of benefits such initiatives confer: economic advancement, social amelioration, and a positive ecological footprint. In an era where sustainability stands as a paramount concern, this research advocates for concerted efforts to harmonize the noble ideals of the Circular Economy with the pressing need for food waste reduction, especially within regions striving for holistic growth and development.

European Citizens’ Evaluation of the Common Agricultural Policy

The Common Agricultural Policy (CAP) is crucial in ensuring food safety and security in Europe. Providing a stable and diverse food supply also supports rural economies and promotes social, environmental and economic sustainability. However, as CAP consumes approximately 30% of the EU budget, debates regarding its pertinence have arisen. This paper aimed to understand European citizens’ perceptions of CAP, its associated benefits and their level of agreement regarding the allocation of the EU budget. Ultimately, the goal was to gain insights into EU citizens’ attitudes and perceptions towards the CAP. Information and data come from the European Survey Eurobarometer. The methods include statistical inferential techniques adjusted to the nature of the variables and goals. The findings confirm that European citizens generally perceive the CAP positively and have positive attitudes about the CAP. While some differences among various social groups may exist, the results did not identify any specific group strongly opposing the CAP. Overall, European citizens hold a favorable attitude towards the CAP, its associated benefits and budget allocation. This paper brings new insights into new European CAP measures and programs to promote food security and the sustainability of agriculture among European countries and citizens. These insights may be useful for public decision-makers to define better policies and measures adjusted to European citizens and to promote food security and sustainability.

Sustainable Food Value Chains: Approaches to Transaction Costs in Agro-Alimentary Systems of Developing Countries—A Chile Case Study

This study delves into the dynamics of price linkages and transaction costs in agricultural markets, emphasizing the sustainability of food supply chains. By exploring vertical and horizontal price linkages in agro-farming value chains of a developing country, it addresses the efficiency of market information transmission and the capacity for arbitrage among chain participants. The methodological core of the research involves analyzing price linkages in Chilean horticultural wholesale markets, focusing on key vegetables such as, onions, lettuce, maize, and tomatoes. This analysis is underpinned by a novel approach that models and estimates time-dependent, conditional threshold bands, extending the traditional cointegration models. This method allows a more nuanced understanding of how agricultural market linkages evolve over time, enhancing our comprehension of price transmission behavior and market integration. The results reveal significant non-linear relationships between fuel prices and vegetable prices, particularly in central Chilean regions. This finding challenges the traditional linear perspective, suggesting that factors such as storage capacity and arbitrage behavior can influence price signal transmission. Such insights are crucial for stakeholders in the agribusiness value chain, offering a deeper understanding of market dynamics and aiding in the development of more sustainable and efficient market strategies. This research contributes significantly to the field of agricultural economics by providing a more robust framework for analyzing market behaviors and transaction costs in the context of sustainability and value chains. Its findings have profound implications for both theory and practice, informing policy-making and strategic decision-making in the agribusiness sector.

Centralized industrialization of pork in Europe and America contributes to the global spread of Salmonella enterica.

Salmonella enterica causes severe food-borne infections through contamination of the food supply chain. Its evolution has been associated with human activities, especially animal husbandry. Advances in intensive farming and global transportation have substantially reshaped the pig industry, but their impact on the evolution of associated zoonotic pathogens such as S. enterica remains unresolved. Here we investigated the population fluctuation, accumulation of antimicrobial resistance genes and international serovar Choleraesuis transmission of nine pig-enriched S. enterica populations comprising more than 9,000 genomes. Most changes were found to be attributable to the developments of the modern pig industry. All pig-enriched salmonellae experienced host transfers in pigs and/or population expansions over the past century, with pigs and pork having become the main sources of S. enterica transmissions to other hosts. Overall, our analysis revealed strong associations between the transmission of pig-enriched salmonellae and the global pork trade.

Methodological bases for balanced development of the food supply of the population

A retrospective analysis of the economic theories of marginal utility, general economic equilibrium, spatial economics, production factors, and organization theory was carried out from the position of forming the methodological basis for the emergence of the theory of balanced development of food supply for the population. The substantive aspects of the critical concepts of the identified theories are detailed in their influence on the formation and formation of the methodology for food supply to the population, including maintaining a balanced and equilibrium state in the conditions of continuous influence of external factors on food systems. For each identified theory, provisions have been established that determine the relationship with the methodology of the area under study. It has been established that the emergence of the theory and methods of balanced development of food supply for the population is a natural stage in the evolution of economic science in the context of increasing the role and importance of man in the modern economy. The methodological grounds identified are the need to achieve and maintain a balanced human diet, ensure coordination and maintain a balance of social and economic interests of consumers and food producers, ensure a balanced state of food production and consumption, maintain a balance of resource capabilities and future food needs of people, prevent the emergence of imbalances in the food sector. The work results can be used to develop new conceptual frameworks for developing the domestic agro-industrial complex and allow us to form a more holistic and detailed understanding of the specifics and features of achieving balanced agri-food sector development.

Traceability of Fruits and Vegetables Agricultural Products using Blockchain

This study explores the implementation of traceability systems utilizing blockchain technology in the agricultural sector, specifically focusing on fruits and vegetable products. Traceability is crucial for ensuring food safety, quality control, and supply chain transparency. Blockchain offers a decentralized and immutable ledger that enables the recording of every transaction or movement of agricultural products from farm to fork. By leveraging blockchain, stakeholders along the supply chain can access real-time, transparent, and tamper-proof information regarding the origin, cultivation, harvesting, processing, and distribution of fruits and vegetables. This enhances trust between consumers and producers, facilitates regulatory compliance, improves efficiency in recall management, and enables swift identification and resolution of food safety issues. Through case studies and analysis, this report evaluates the benefits, challenges, and future prospects of integrating blockchain-based traceability solutions into the agricultural industry, ultimately aiming to enhance food safety and consumer confidence.

Machine Learning-Based Fine Classification of Agricultural Crops in the Cross-Border Basin of the Heilongjiang River between China and Russia

The transboundary region along the Heilongjiang River, encompassing the Russian Far East and Northeast China, possesses abundant agricultural natural resources crucial for global food security. In the face of the challenge of disruptions in the global food supply chain, the precise monitoring and exploitation of agricultural resources in the Heilongjiang Basin becomes imperative. This study employed deep learning to classify crop status in 2023 in the Heilongjiang Basin using Sentinel-2 satellite remote sensing images at a 10 m resolution. Various vegetation indices, including the Normalized Difference Vegetation Index (NDVI), the Normalized Difference Water Index (NDWI), the Enhanced Vegetation Index (EVI), the Modified Soil Adjusted Vegetation Index (MSAVI), and others, were computed and analyzed for different crops. The Google Earth Engine (GEE) platform was utilized for validation point sampling based on plot objects. The random forest (RF) classification method was successfully employed to classify and identify major crops in the study area (wheat, maize, rice, and soybean), as well as wetlands, tree cover, grassland, water, and constructed land, with an overall classification accuracy of 86%. Tree cover dominated the land cover, constituting 62%, while wheat, maize, rice, and soybeans accounted for 7% of the total area. Of these, soybeans occupied the largest area (57,646.60 hectares), followed by rice (53,209.53 hectares), maize (39,998.37 hectares), and wheat (8782.31 hectares). This study demonstrated that sample selection based on plot objects facilitates efficient sample labeling, providing insights into crop classification in other, potentially larger, areas. This method simultaneously distinguishes wetland, cultivated land, and forest features, supporting further integrated investigations for more natural resources.

Healthy Lifestyle Behaviors Among First-Year College Students Attending a University in Mississippi

Introduction The promotion of healthy lifestyle behaviors among college students is a significant interest for public health, especially in Mississippi where 1 in 4 individuals have inadequate access to food supply. A study at a major Mississippi university found that 45% of their students reported food insecurity. More recently, research has highlighted a higher risk of unhealthy lifestyle habits among college students in the Southeastern US. Methods This study utilized a descriptive quantitative study design to survey first-year college students (n = 196) enrolled at a University in Southern Mississippi. The relationship between lifestyle and health among first-year college students was measured using the Fantastic Lifestyle Checklist. Data were analyzed utilizing bivariate analysis to determine significant correlations. Results Only 19% of the students reported eating a balanced diet regularly, while 54% reported being active less than twice a week. Although 91% of the students perceived themselves as having an overall healthy lifestyle, 79% reported feelings of sadness or depression. The Fantastic Lifestyle Checklist correlated significantly ( P < .05) with gender out of all demographic variables. Conclusions Interventions promoting healthy lifestyle behaviors should be encouraged among first-year college students who are vulnerable to contributing factors that can increase health risks. Interventions such as evaluation of risks, health promotion resources, and health promotion behavior awareness should be brought to bear in an effort to improve healthy lifestyle habits among students.

Dynamic model of changes in the trophic structure of an ecosystem affected by chronic radiation exposure

The conceptual dynamic ecosystem model was developed to evaluate the self-organization of trophic structure in ecosystems during the course of biogenic succession. This model was applied to analyze the possible changes in the ecosystem under impact of the anthropogenic physical stressor – chronic exposure to ionizing irradiation. The model predicts that amount of the limiting biogenic nutrient in the environment can modify the ecological effects of ionizing radiation. Negative effects of the chronic exposure are less significant in ecosystems with high food supply. The model does not show presence of any ecological effect of radiation at the exposure rates less than the derived consideration reference levels, obtained by International Commission on Radiological Protection for individual nature organisms. If the dose rates are higher than those levels, radiation exposure can affect ecological interactions between species. The model shows that environmental hormesis can exist in the ecosystems, impacted by the chronic radiation exposure. The reason of this effect is change of the ecological coefficients (for example, decrease of the predation rate), which in the certain range of parameters leads to the increase of biomasses of all species at the same amount of the limiting biogenic nutrient in ecosystem. Trigger regimes exist in the model ecosystem with mixed-feeding consumers. Within the trigger area, the realization of a particular trophic structure depends on initial species biomasses. A hysteresis phenomenon exists in such ecosystems, which means that the successive changes in the trophic structures realized following the increase of the influencing factor are not reproduced in the same order if the influencing factor was gradually decreased back to its previous values. The model predicts for this case, that the radioactively contaminated ecosystem does not necessarily return to its initial trophic structure, despite the dose rate decreases to the initial levels.

The Effects of Food on the Uptake and Excretion of Nano-Plastics by Daphnia magna

The effects of nano-plastics (NPs) on aquatic organisms have drawn significant attention. Understanding the uptake and excretion of NPs by aquatic organisms can provide clearer insights into their behavior within organisms. And the effect of different food on the processes is unclear. Daphnia magna (D. magna) is considered as a model organism for assessing the ecological risks of NPs. This work observed the uptake and excretion of NPs by D. magna under different food supply conditions. The effects of three different types of foods (Chlorella sp., Euglena gracilis, and yeast powder) on the uptake and excretion of two concentrations of NPs (1 mg/L and 3 mg/L) by the D. magna were compared. A Time-Gated Imaging technique was used to quantify the NPs uptake mass by D. magna. The study results showed the inhibitory effect presented by food on the uptake of NPs by D. magna. The inhibitory ability of different foods varies, with similar levels observed in Chlorella sp. and E. gracilis, while the inhibitory effect of yeast powder was slightly weaker. The facilitating effect was presented by food on the excretion of NPs. The time constant of excretion of NPs by feeding yeast powder was about 4–5 min longer than that of two types of algae. These effects can be attributed to food occupying the intestine tract of D. magna and supplying energy. This work emphasizes the important role of food in evaluating the ecological effects of NPs and provides support for future research on the long-term risks of pollutants to aquatic organisms and environmental sustainability.

Higher rates of food insecurity and stress experienced by food systems workers during the first year of the COVID-19 pandemic

IntroductionThe present study examined the prevalence of food insecurity and perceived stress among food system workers relative to other members of the population during the first year of the COVID-19 pandemic. It also explored perspectives on the role of food system workers during the pandemic and their experiences working during this time.MethodsData were collected via an online survey in spring 2021. The sample was comprised of 441 residents of Vermont, United States, including 41 food system workers.ResultsRegression models identified higher rates of food insecurity and perceived stress among food system workers during the first year of the pandemic. However, these relationships were not maintained when the models were adjusted for income and job disruption, suggesting that the associations were primarily due to the economic vulnerability of food system workers. Most respondents indicated concern for the health and well-being of food system workers, felt that food system workers were undervalued, and agreed that the well-being of food system workers should be prioritized. However, opinions were split regarding whether it was worth the health risk to require farms and food processing plants to stay open to maintain the food supply. Half of food system workers believed that their work had compromised their well-being during the pandemic, although several also identified their jobs as pathways for accessing food.DiscussionThe findings provide valuable information for decision-makers seeking to increase the resilience of the food supply and the food system workforce.

Acceptance of 3D printed foods among senior consumers in Japan

The soft texture and customizable nutrient composition of 3D printed foods hold promise for sustainable food supply and health promotion. This study focuses on their potential in dietary management for senior consumers, emphasizing the crucial aspects of food enjoyment and nutritional adequacy. Employing structural equation modeling and cluster analysis, this study aims to analyze factors influencing acceptance and profile consumer segments among senior consumers in Japan. Findings highlight the significance of consumers' environmental consciousness, which, mediated by perception of usefulness, plays a pivotal role in fostering acceptance of 3D printed food products. We also demonstrated that trend-sensitivity influences the willingness to purchase 3D printed foods through the mediation of awareness of 3D printing technology and perceived usefulness, suggesting that these factors might significantly affect purchase intention. This consistently appeared in the profiles of consumers exhibiting a relatively strong willingness to purchase 3D printed foods. The study elucidates factors and consumer profiles influencing the acceptance of 3D printed foods among senior consumers, providing crucial insights for the adoption of novel food technologies.

Digital technology based game-theoretic pricing strategies in a three-tier perishable food supply chain

Digital technology based game-theoretic pricing strategies in a three-tier perishable food supply chain