National Food Research Articles

Advancing sustainable rice production in the Vietnamese Mekong Delta insights from ecological farming systems in An Giang Province

Rice serves as a crucial staple food crop for half of the world's population. In the Vietnamese Mekong Delta (VMD), rice production plays a vital role in national food security. However, the majority of the existing intensified rice cultivation schemes in the VMD, which are typically traditional, have rendered many farmers' livelihoods unsustainable due to issues such as land degradation, water pollution, health risks, and low profitability. Therefore, it is imperative to explore alternative sustainable farming systems. This study investigates the benefits of two ecological farming systems, specifically organic rice and rice mixed with lotus, as alternatives to conventional rice farming in the upper VMD floodplain province of An Giang. These two farming systems have demonstrated long-term socioecological and economic advantages. On the one hand, they allow the introduction of rice products to the market at more affordable prices. Additionally, they contribute to improved water quality, improved soil fertility, and increased biodiversity such as bird, fish, and plant species compared to traditional rice farming systems. Although we acknowledge that the availability of floodwater poses a significant constraint for alternative farming systems, the business opportunities and socioecological benefits associated with these systems outweigh the limitations. Our findings provide evidence that ecological farming practices that support rice cultivation represent promising alternatives to sustainable rice production, which can help mitigate vulnerabilities in intensified rice farming systems and can be scaled up for other floodplain provinces in the VMD and beyond.

Constraints limiting the effectiveness of extension agents in disseminating climate-smart agricultural practices among rice farmers in north-Central Nigeria

Climate-smart agricultural practices play a crucial role in achieving national food security and development goals, and the significance of extension agents in this endeavor is invaluable. In view of this, this study investigated the constraints limiting the effectiveness of extension agents in disseminating climate-smart agricultural practices to rice farmers in North-central, Nigeria. The study specifically examined the socioeconomic characteristics of the extension agents, the dissemination pathways employed by them, constraints limiting the extension agents from effectively disseminating climate-smart agricultural practices, and the factors that influence their constraints. Data for the study were collected using a well-structured questionnaire administered to a total of 88 respondents selected through a multistage sampling procedure. Data analysis was done using descriptive statistics and Pearson product–moment correlation. The result showed that the respondents had a mean age of 48 years, the majority were males (93.2%), married (95.5%), and (85.2%) had tertiary education. Dissemination pathway/ method mostly used by the extension were; farm and home visits (𝑥̅ = 1.73), result demonstration (𝑥̅ = 1.66), and methods demonstration (𝑥̅ = 1.58). The constraints impeding the extension agents in disseminating CSA practices were; insufficient number of extension workers to provide services for a large number of farmers (𝑥̅ = 1.87), lack of incentives for staff motivation (𝑥̅ = 1.83), inadequate means of transportation (𝑥̅ = 1.83), were ranked 1st,2nd, and 3rd, respectively. There was a negative significant correlation (p = 0.05) between the number of training and personal constraints, as well as institutional constraints (p = 0.017) in the dissemination of climate-smart agricultural practices. Therefore, it is recommended that extension agents receive periodic training and incentives such as awards, cash rewards, promotions, and staff recognition from government bodies to enhance their performance.

Research on Corn Leaf and Stalk Recognition and Ranging Technology Based on LiDAR and Camera Fusion.

Corn, as one of the three major grain crops in China, plays a crucial role in ensuring national food security through its yield and quality. With the advancement of agricultural intelligence, agricultural robot technology has gained significant attention. High-precision navigation is the basis for realizing various operations of agricultural robots in corn fields and is closely related to the quality of operations. Corn leaf and stalk recognition and ranging are the prerequisites for achieving high-precision navigation and have attracted much attention. This paper proposes a corn leaf and stalk recognition and ranging algorithm based on multi-sensor fusion. First, YOLOv8 is used to identify corn leaves and stalks. Considering the large differences in leaf morphology and the large changes in field illumination that lead to discontinuous identification, an equidistant expansion polygon algorithm is proposed to post-process the leaves, thereby increasing the average recognition completeness of the leaves to 86.4%. Secondly, after eliminating redundant point clouds, the IMU data are used to calculate the confidence of the LiDAR and depth camera ranging point clouds, and point cloud fusion is performed based on this to achieve high-precision ranging of corn leaves. The average ranging error is 2.9 cm, which is lower than the measurement error of a single sensor. Finally, the stalk point cloud is processed and clustered using the FILL-DBSCAN algorithm to identify and measure the distance of the same corn stalk. The algorithm combines recognition accuracy and ranging accuracy to meet the needs of robot navigation or phenotypic measurement in corn fields, ensuring the stable and efficient operation of the robot in the corn field.

Augmenting Use of Technology in Implementation of NFSA-2013

Technology has the potential to help governments live up to their ambitions for public policy and delivery. To increase the efficiency of the Public Distribution System (PDS), the Government of India has launched multiple Information and Communication Technology (ICT) intervention projects under the National Food Security Act (NFSA), 2013. The article looks at the effectiveness of Aadhar Seeding, Biometric Authentication Systems, Fair Price Shop (FPS) Automation, Integrated Management of Public Distribution Systems (IMPDS), Mobile Applications (Mera Ration App), and Direct Benefit Transfer (DBT)- in enhancing transparency, accuracy, and accountability of PDS under NFSA, 2013 in the delivery of subsidized food grains in Assam. The study relies on secondary data. The augmentation of technology has the potential to increase the effectiveness, transparency, and accountability of the NFSA implementation and address the issue of food security. The authors suggest that ensuring the feasibility of FPSs, creating dashboards for data and reports for NFSA stakeholders, conducting social audits, and developing efficient monitoring and evaluation frameworks within the NFSA can greatly improve the efficiency of the PDS in Assam.

Reformulation of Policies to Prevent Land Conversion of Rice Fields In Achieving Indonesia's National Food Security

Background Increased population growth and imbalance between the need for rice are driving the conversion of numerous rice fields into non-agricultural zones and posing a significant threat to national food security. Therefore, this research is carried out to effectively address Indonesian government’s policy in preventing conversion of rice fields due to the lack of harmonization between cross-sectoral policies. Method A juridical-normative research method is used to analyze policy problems through legal theory and reality. The method is studying regulations against social phenomenon in food security sourced from the unconformity between the policies and the reality. It started by elaborating a way of thought, synthesizing conclusions, stating errors, and advising the re-formulation of policies to change the appropriation of land that in turn will affect national food security. Results The results show that there is proposed concept for reformulating rice field policies to integrate policies across sectors, ensure coherence in policy planning, and enhance the efficiency policies. The addition and harmonization of the components will strengthen the protection of the rice fields while preventing inconsistency and overlapping of authority from different sectors. The realization of this re-formulation will in time manifest national food security. Conclusions Indonesian government stipulates various policies to prevent the conversion of rice fields and to manifest national food security. However, of inconsistency and overlapping authority persist in its practice. Further close examination and reviews show the need reformation of policy for a transfer of land appropriation.

First reports of several viruses and a viroid including a novel vitivirus in Japan, found through virome analysis of bulk grape genetic resources.

Virome analysis was performed on 174 grape genetic resources from the National Agriculture and Food Research Organization, Japan. A total of 20 bulk samples was prepared by grouping the vines into batches of 6-10 plants. Each of the bulk samples was analyzed using high-throughput sequencing, which detected 27 viruses and 5 viroids, including six viruses and one viroid reported in Japan for the first time (grapevine viruses F, L, and T, grapevine Kizil Sapak virus, grapevine Syrah virus 1, grapevine satellite virus, and grapevine yellow speckle viroid 2). In addition, a novel vitivirus was detected with a maximum nucleotide sequence identity of only 58% to its closest relative, grapevine virus A (GVA). The genome of this novel virus was 7,461 nucleotides in length and encoded five open reading frames showing the typical genomic structure of vitiviruses. Phylogenetic trees of vitiviruses placed it in a distinct position nearest to GVA or grapevine virus F (GVF) in genomes and amino acids of deduced replication-associated protein (RAP) and coat protein (CP). The amino acid sequence identities of RAP and CP with GVA, GVF, and other vitiviruses were a maximum of 53% and 73%, respectively, which were significantly below the species demarcation threshold of 80% in the genus. The low identity and phylogenetic analyses indicate the discovery of a novel vitivirus species provisionally named grapevine virus P.

The recognition and optimization study on the dominant agricultural space in Cangzhou based on the suitability evaluation of agricultural production

Agricultural spatial division and suggestions for the optimization of the partition space were obtained by constructing a recognition system of the dominant agricultural space. The prerequisite was to master natural economic development in agriculture. It was vital to maintain national food security and promote healthy and sustainable agriculture. The suitability evaluation of agricultural production and the dominance evaluation of agricultural development were incorporated to recognize the dominant agricultural space in Cangzhou, Hebei, China in 2020. Besides, priority scenarios were set, e.g., economic development, low-carbon protection, and coordinated development of a low-carbon economy. The NSGA-II genetic algorithm model was used to optimize the quantitative structure of cultivated lands in the agricultural space of Cangzhou in three scenarios in 2030. The research results are as follows: (1) Cangzhou had the largest number of general suitable areas for agricultural production in 2020, accounting for 27.04%; suitable areas were the least, accounting for 10.99%. The proportion of current cultivated lands in unsuitable agricultural production areas still stood at 11.26%; (2) The dominance of agricultural development in 2020 in Cangzhou was mainly at Tier III, accounting for 33.60% with the general dominance of agricultural development; (3) The total area of the dominant agricultural space in Cangzhou was 238208.75 hm2, accounting for 16.72% of the national territorial area of Cangzhou. It included 35 villages and towns beyond ecological red lines, mainly distributed in the western part of Cangzhou; (4) The agricultural space of Cangzhou in 2030, optimized by the multi-objective NSGA-II genetic algorithm model, exhibited decreased cultivated lands across three scenarios. The total amount of cultivated lands was the largest under the priority scenario of economic development, and that was the smallest under the priority scenario of coordinated development of a low-carbon economy. Meanwhile, agricultural economic benefits and carbon emission density were reduced under three scenarios. The benefits and density were moderate under the coordinated development of low carbon and economy. The work provides a reference for further formulating and improving the policies of the agricultural space in various regions.

Risk evaluation, spatiotemporal evolution, and driving factors of provincial food safety in China

The cross-regional transfer of food safety risks has become more prominent, bringing new challenges to the food ecosystem and food safety regulation. This study develops an evaluation index system of food safety risks based on the pressure-state-response (PSR) framework. The food safety risk indices of 30 provinces in China from 2011 to 2020 are calculated by determining the index weights using the real-coded accelerated genetic algorithm–projection pursuit model (RAGA-PP). Furthermore, this study elaborates the spatiotemporal differences and correlations of provincial food safety risks, characterizes the spatial aggregation and spatiotemporal changes of risks, and investigates driving factors affecting the spatiotemporal evolution of risks. The following findings are established. First, the overall risk value of food safety in China in 2020 decreased by approximately 5% compared with year 2010. In 2020, the national food safety environment was relatively favorable and tended toward stability. The overall trend of food safety risks in China is decreasing, although socioeconomic development has increased the risks, and the corresponding social management measures have also reduced the risks. Second, food safety risks were unevenly distributed among provinces, showing significant regional differences. Specifically, generally higher risks were observed in eastern provinces versus other regions and in coastal provinces versus inland provinces. Concentrated and superimposed risks were observed in the Yangtze River Delta, a large urban agglomeration centered on Shanghai. Lastly, population density and urbanization level were the main drivers of the evolution of regional food safety risks; whereas policy instruments used by the government to manage risks played a limited role. The results show that establishing a cross-regional collaborative governance mechanism to manage food safety risks should constitute an important component of the regional integration strategy of China.

Dissecting the vital role of dietary changes in food security assessment under climate change

National and global food security depend on both supply and demand, yet the vast majority of studies on the impact of climate change on food security have focused somewhat myopically on the supply side. Here, we assess planetary implications of the changing climate for food supply, concurrently considering implications of shifts in dietary preferences on food security. From 1990 to 2018, climate change detrimentally impacted on the food production of 92% of nations assessed. During this time, demand decreased at a greater rate than food supply in 28% of countries; food security for 35% of the global population was unperturbed by climate change. On the other hand, 2% of the global population did not benefit from positive impacts of climate change on food production, due to dietary changes faster increasing food demand. If consumers shift dietary preferences en masse towards healthier diets, detrimental impacts of the climate crisis on food security may be abated, although en mass and/or abrupt transitions in dietary preferences are unlikely.

Second Bread: Potato Cultivation and Food Security in Kyrgyzstan

Kyrgyzstan experienced a remarkable boom in potato production over the past thirty years, driven almost entirely by small farms. Today, potatoes are at once the backbone of national food security, a central source of income for many Kyrgyz households, and a non-trivial source of export earnings. This paper documents the central characteristics of the Kyrgyz potato economy and explains the conditions of its emergence and resilience. We show that Kyrgyzstan’s potato economy is driven by three main features: land reforms that dispersed ownership of land early in the post-Soviet transition, dense social networks that connect producers to input suppliers and markets, and a match between the potato and the country’s mountainous terrain and continental climate. Together, these features have given rise to a food security model that leverages the potato’s well-known nutritional qualities, its cultural status as a food staple across the region, and Kyrgyzstan’s geography and climate. We term this the Kyrgyz Potato Model (KPM). Unlike critics that stress the inefficiencies of Kyrgyz potato production, we highlight the model’s strengths: it is extremely effective in feeding citizens, generates much-needed household incomes, and has been remarkably resilient in the face of recent global economic crises.

Food Insecurity across Age Groups in the United States during the COVID-19 Pandemic.

Food insecurity increased during the COVID-19 pandemic, but the impact varied across different age groups during the prolonged public health emergency. This study sought to describe national food insecurity prevalence by adult age group at multiple stages of the pandemic and explore differences by demographic characteristics. Data were from the nationally representative US Census Bureau's Household Pulse Survey from April 2020 to May 2023 (N = 4,153,462). Locally weighted scatterplot smoothing (LOESS) regression analysis identified change points in food insecurity trends, segmenting the timeline into three periods: (1) April 2020-March 2021, (2) April 2021-May 2022, and (3) June 2022-May 2023. Logistic regression models examined associations between age, time period, and self-reported household food insecurity; covariates included demographics, socioeconomic status, household structure, and food support program usage. Overall, 9.3% of respondents experienced food insecurity, ranging from 3.5% among those aged ≥75 to 12.2% for ages 35-44 years. Significant interaction between age group and time period indicated inconsistency in the age-food insecurity association during the pandemic (p < 0.001). From Period 1 to 3, the proportion of food-insecure adults aged ≥65 rose from 9.2% to 13.9%. Across all age groups, higher odds of food insecurity were found among Black, Hispanic/Latino, or Other/Multiracial respondents; those with less than a Bachelor's degree; those with incomes below USD 35,000; those unemployed for reasons other than retirement; and non-homeowners (p < 0.001). The results show that trends and characteristics associated with food insecurity varied across age groups and time periods. Continuous monitoring of food insecurity during emergencies is critical to identify vulnerable populations and timely interventions.

Pad Thai: the Thai-ization of Chinese food and the Thai nationalism project by the Phibunsongkhram government

ABSTRACT Pad Thai, an innovation of Chinese kway teow through Thai-ization that became an iconic national dish of Thailand, played a significant role in shaping national identity and constructing the country's national image. This study explored the relationship between nationalist policies and the localization of kway teow during the Phibunsongkhram government (1938-1944), which contributed to the popularity of kway teow in Thailand's lower class in terms of both production and consumption. The examination of government policies and recipes revealed that Thais infused their emotions and the sense of national identity into the production and consumption of kway teow, thereby enhancing the bond between individuals and the nation and laying a more solid base for the implementation of nationalist policies. The innovation of Pad Thai was one such nationalist policy that was disseminated top-down by the Phibunsongkhram government, making it a national food of Thailand by highlighting its Thai characteristics and including it in its National Nutrition Project. However, Pad Thai was not purely a national Thai dish; rather, it was one that existed in Thais' imagination. In revealing the nature of national cuisine and its importance in nation-building, this study's findings contribute to the significant role of localizing Chinese food in Thai nation-building.

Backcasting supports cross-sectoral collaboration and social-technical innovation bundling: case studies in agri-food systems

There is a clear and urgent call to transform our food systems as a critical nexus to tackle ongoing global climate, biodiversity, equity, and nutrition crises. Many food and agricultural innovations are being developed and scaled but these innovations often target sector-specific problems and remain disconnected from the more complex demand for transformative change at scale. To bridge this demand for systemic change within the innovation ecosystem, initiatives are applying various approaches such as visioning, holistic assessments, innovation portfolio management and multistakeholder co-creation. Here we report on insights from applying a food systems tailored backcasting approach in a diversity of settings since 2021, including a national food system dialogue, a youth business innovation challenge, a landscape multi-stakeholder platform, a public-private sector co-learning session, an agroecological transitions program, and a hybrid food systems university course for graduate students and global professionals. We thereby build on existing literature and case studies of how change happens (or does not happen) and aim to use those insights to support food systems change makers. Across these settings, the backcasting approach asks participants to connect innovations with broader systems-change visions, to anticipate tradeoffs for multiple food system outcomes and population groups, and to cross sectoral boundaries. The use cases demonstrate that the backcasting process contributes to changes in views, practices and structures that participants work with. Specifically, it supports moving beyond “silver bullet” innovation approaches, the bundling of social and technical innovations, and building action-oriented cross-sectoral bridges. Food systems change is complex and innovations alone are insufficient to address its complexity. But innovations can play a positive role if connected to more holistic systems-change processes and goals. Considering strengths and limitations of the backcasting approach, the diversity of practical applications supports its potential to connect innovations to holistic food systems visions, to strengthen cross-sectoral collaboration and to bundle social and technical innovations for desirable food systems change.

Probabilistic Mathematical Model for Dietary Consumption and Exposure Assessment in the Absence of Data from National Nutrition Surveys: A Case Study on Saudi Arabia

Introduction: Noncommunicable diseases, which account for 71% of annual global deaths, necessitate the implementation of targeted legislative measures to reduce exposure to risk factors, particularly those related to nutrition. Accurately assessing these risk factors is challenging owing to infrequent national surveys, high costs, and uncertainties from human behavior. Thus, addressing these issues is crucial. This study aimed to develop a model for estimating dietary exposure. Methods: Our study utilizes the National Nutrient Consumption (NNC) model, which employs a probabilistic and cost-effective approach. This model leverages open data and focuses on supply chain dynamics and uncertainties, integrating import, production, and stock levels. It estimates commodity supply, consumption, and nutrient intake using predictive coefficients from historical data. Model accuracy was assessed using mean absolute error, correlation coefficient, and one-sample t test. The findings were evaluated against the recommended intake outlined in the Technical Regulation of Food Labeling (SFDA.FD 2233). Results: The model demonstrated high accuracy in estimating dietary intake, with minimal error margins. For both genders, the 50th percentile nutrient exposure exceeded the reference values – with males consuming 3,310 kcal (+65%), 144 g of total fat (+105%), 33.8 g of saturated fat (+69%), 86 g of free sugar (+72%), and 2,545 mg of sodium daily (+0.06%); females consumed 3,306 kcal (+65%), 143 g of total fat (+104%), 33.5 g of saturated fat (+67%), 86 g of free sugar (72%), and 2,500 mg of sodium (+4%). Conclusion: The model, both cost-effective and accurate, identifies elevated nutritional risk factors in Saudi Arabia, informing targeted health policies.

Transforming ex-Coal Mining Sites into Sustainable Plantations: A Case Study of Food Natural Sustainability Project in Bomba Group

The Ministry of Agriculture (Kementan) is encouraging efforts to convert former mining land into productive agricultural areas to increase national food production and stocks amidst the global food crisis. Land Reclamation Technology is a necessity to reduce the cost of reclamation of ex-mining land into agricultural land. The method of reclamation of ex-mining land by moving top soil from another place is not recommended because this is a step to solve the problem by creating other new problems. Sustainability Business Model for such rejuvenation projects refer to Collaboration and Community Based and must be prioritize all stakeholders (all parties involved and affected by the activities carried out by the business) rather than the interests of shareholders.

Construction and Application of the Phaeozem Health Evaluation System in Liaoning Province, China

Soil degradation has led to a continuous decline in the quality of phaeozem, which is seriously threatening the foundation of national food security. Therefore, precisely evaluating the health status of phaeozem resources and their spatial and temporal variations are crucial for ensuring the effective implementation of soil degradation prevention and control strategies. In this study, soil data from 140 sites were collected, and eight physical and chemical indices (sand content, silt content, pedon thickness, organic matter, total potassium, total nitrogen, total phosphorus, and pH) were utilized to assess the soil health status of phaeozem in Liaoning Province. The results showed the following: (1) The minimum data set is aligned with previous research findings and effectively mirrors the soil’s health condition. (2) The substantial coefficients of variation observed for pedon thickness, sand content, and silt content across regions suggest notable differences, likely influenced by climatic variations, parent material differences, and anthropogenic activities. (3) The study area’s average soil pH of 6.39 indicates an overall acidic nature, potentially attributed to intense soil weathering and suboptimal fertilization practices. (4) The soil health index (SHI) ranged from 0.33 to 0.91, with an average of 0.62, which indicates that the majority of the phaeozem in Liaoning Province are in a sub-healthy state (SHI &lt; 0.6 = unhealthy, SHI 0.6–0.8 = sub-healthy, SHI ≥ 0.8 = healthy). These sub-healthy areas are primarily located in hills, mountains, and the Liaohe Plain, and are significantly impacted by rainfall and wind erosion. Meanwhile, unhealthy areas are concentrated in the south and center of the province, characterized by fragile ecological environments and challenging agricultural conditions.

Spatiotemporal Variation Characteristics and Driving Factors of Cultivated Land NPP in the Shandong Area Around the Bohai Sea

The Bohai Rim Plain is an important grain-producing area in China. The cultivated land resources have great potential for production, but there are many influencing factors. Understanding the spatiotemporal change characteristics and driving factors of the net primary productivity （NPP） of cultivated land vegetation in this region is of great significance to improve the regional cultivated land production conditions, excavate and enhance the production capacity of cultivated land, and ensure national food security. In this study, Theil-Sen Median trend analysis, Mann-Kendall significance test, Hurst index, and other methods were used to explore the spatiotemporal change characteristics, stability, and sustainability of regional cultivated land NPP. The influence of driving factors on the spatial heterogeneity of cultivated land NPP was analyzed by using optical parameters-based geographical detectors. The results showed that： ① From 2001 to 2019, due to the expansion of construction land during industrialization and urbanization, the cumulative decrease in the area of cultivated land in the Shandong area around the Bohai Sea was 2 004.51 km2. ② During the selected research period, the interannual variation of average cultivated land NPP showed a fluctuating and increasing trend. In terms of spatial distribution, the NPP of cultivated land was bounded by the Dongying District, with the spatial heterogeneity in the north being significantly lower than that in the south. ③ The area with increasing NPP of cultivated land accounted for 88.06% of the total area of cultivated land, mainly with low and medium fluctuations. The NPP of cultivated land will maintain an overall sustained trend of increase across the region in the future. ④ The average annual relative humidity study area had the strongest explanatory power for the spatial variability of NPP in cropland, with a q-value of 0.26, followed by surface soil salinity and subsoil salinity, with q-values greater than 0.2. The interactions between the different drivers all showed either nonlinear enhancement or bifactorial enhancement. The results of this study will help to reveal the characteristics of the changes in cultivated land production capacity and its driving forces in the Bohai Sea region and also provide a theoretical basis for the ecological protection and sustainable development of the region.

Safety evaluation of Indocalamus Iatifolius McClure leaves based on acute toxicity, harmful metals, and 9 organochlorine residue determination

To investigate the safety of Indocalamu Iatifolius McClur leaves sold in the market, a study was conducted using Indocalamu Iatifolius McClur leaves randomly collected from an online store and a large supermarket. Acute toxicity experiments were performed on mice, and their body weight was monitored for 14 days after administration. After the observation period, blood samples were collected for biochemical analysis, and organ pathology was examined. Then, the content of copper (Cu), lead (Pb), cadmium (Cd), mercury (Hg), arsenic (As), and the residues of nine organochlorine pesticides in Indocalamu Iatifolius McClur leaves were measured according to the National Food Safety Standard (GB/T5009-2003) and the pesticide residue determination methods in the 2020 edition of the Chinese Pharmacopoeia. The results showed that the mice in the Indocalamu Iatifolius McClur leaves (online store) group experienced mortality and severe liver and lung damage. The levels of lead, cadmium, mercury, arsenic, and the nine organochlorine pesticides met the relevant standards and regulations. However, the copper content in the Indocalamu Iatifolius McClur leaves (online store) group was nearly 80 times higher than that in the supermarket group. Mice in the Indocalamu Iatifolius McClur leaves (supermarket) group remained healthy without any abnormalities, and the levels of harmful metals and organochlorine pesticides complied with the standards and regulations. The study suggests the need for regulatory policies and safety standards for the sale of Indocalamu Iatifolius McClur leaves.

Urgency to secure funding for the promised national school food program amidst the rise of food costs and chronic disease

An overwhelming number of Canadians believe that a national school food program (SFP) would benefit children, but concerns around limited funding are frequently raised. SFPs across Canada are struggling to meet increasing demands due to rising food costs, meaning that food quality and quantity within existing SFPs are suffering. This paper discusses the urgency to implement a cost-shared and federally funded SFP amidst the current economic context and lack of clear direction from the federal government. The paper also explores ways in which federal funding for school meals can help to reduce the rate of chronic diseases and actualize many proven physical and mental health benefits for Canadians, all of which have positive and long-term downstream effects on the country’s economy.

Economic Order Quantity Method to Enhance Rice Supplies and Food Security in Indonesia

Ensuring adequate food provision to meet human basic needs is of utmost importance. In Indonesia, achieving food security involves meeting the food requirements of all individuals and eliminating the risk of famine. The government's strategy to ensure national food security centers on maintaining a steady supply of rice throughout the year, recognizing its paramount significance. To address this concern, this study aims to enhance rice supplies at Gudang Bulog Baru Tempel Lemahbang 202 Blora by implementing the economic order quantity (EOQ) method. The research findings demonstrate that by utilizing the EOQ method, the optimal rice supply order size would be 15,319.4 tons. This order should be placed 119 times per year, given the 280 business days available. The annual cost of implementing this policy at Gudang Bulog Baru Tempel Lemahbang 202 Blora is estimated to be Rp. 424,484,526. Implementing the EOQ method proves beneficial in minimizing the cost for individual rice orders due to its high frequency throughout the year, which directly affects the total cost. Nevertheless, it is crucial to reassess alternative policies to further reduce the overall cost incurred in both the short and long term if the objective of the EOQ method is cost minimization.Top of Form