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The choice of a sales channel for fresh vegetables is an important decision a farmer can make. Typically, the farmers rely on their personal experience in directing the produce to a sales channel. This study examines how sales forecasting of fresh vegetables along multiple channels enables marginal and small-scale farmers to maximize their revenue by proportionately allocating the produce considering their short shelf life.

Machine learning models, namely long short-term memory (LSTM), convolution neural network (CNN) and traditional methods such as autoregressive integrated moving average (ARIMA) and weighted moving average (WMA) are developed and tested for demand forecasting of vegetables through three different channels, namely direct (Jaivasree), regulated (World market) and cooperative (Horticorp).

The results show that machine learning methods (LSTM/CNN) provide better forecasts for regulated (World market) and cooperative (Horticorp) channels, while traditional moving average yields a better result for direct (Jaivasree) channel where the sales volume is less as compared to the remaining two channels.

The price of vegetables is not considered as the government sets the base price for the vegetables.

The existing literature lacks models and approaches to predict the sales of fresh vegetables for marginal and small-scale farmers of developing economies like India. In this research, the authors forecast the sales of commonly used fresh vegetables for small-scale farmers of Kerala in India based on a set of 130 weekly time series data obtained from the Kerala Horticorp.

This paper analyzes the consumption of fruits and vegetables (FV) in Senegal by: (1) urban and rural areas; (2) FV types (African-indigenous vs non-indigenous); (3) sources of FV (imports, purchases and own-production).

The authors undertake descriptive and regression analyses on consumption of FV sourced from purchases, own-production and gifts. The data come from primary surveys in 2017/2018 of 6,328 rural and urban households in Senegal.

The analysis showed that FV are important in urban and rural food consumption. A stunning 76% of rural FV consumption is from purchases, showing the importance of FV supply chains even into and among rural areas. Only 12% of national FV consumption is from imports. Most FV consumption in rural and urban areas is now of non-indigenous FV; African-indigenous FV have a minor share.

A limitation of this paper is that it uses a cross-sectional dataset.

There are few national survey-based studies of FV consumption in Africa. This is the first to disaggregate FV consumption between primary versus secondary cities and rural towns, and rural areas close to and far from cities, in such detail regarding types and sources of FV as outlined in the findings. The regressions contribute by including determinants beyond income, including gender, employment, spatiality and education.

Fresh vegetables contain advantageous phytochemical components, making them one of the most significant sources of nutrition. The threat of harmful bacteria still exists because these vegetables are not heated in restaurants before being consumed. Therefore, this study aimed to evaluate the microbial quality of fresh vegetables in restaurants of different levels.

A total of 499 fresh vegetable samples (from sandwiches and fresh-cut vegetable salads) were collected from 3 different types of food service establishment: 201 from international restaurants (IRs), 210 from national restaurants (NRs), and 88 from cafeterias (CAs). The samples were prepared and inoculated on specific growth media. The aerobic mesophilic bacteria (AMB) Campylobacter spp., Staphylococcus aureus (S. aureus), Enterobacteriaceae, Escherichia coli (E. coli) and yeast and molds were counted, and Listeria monocytogenes, Salmonella spp. and Escherichia coli O157 were detected using specialized medium.

High counts of S. aureus, above 3 log cfu/g, suggested that 71.5% of samples collected from NRs and 77.3% from CA were not accepted, whereas 81.6% of samples collected from IRs were accepted. The low population of E. coli, less than 2 log cfu/g, suggested that 99.0, 97 and 92.0 % of samples collected from IRs, NRs and CA, respectively, were accepted. Listeria monocytogenes and Escherichia coli O157 were absent from every sample. One sample was positive for Salmonella spp. in each of the NR and CA sample groups.

RIs adhere to health and hygiene standards better than NRs and CAs, according to the findings of vegetable contamination tests.

This study aims to study the distribution characteristics of antibiotic resistance in direct-eating food and analysis of Citrobacter freundii genome and pathogenicity. Residual antibiotics and antibiotic resistance genes (ARGs) in the environment severely threaten human health and the ecological environment. The diseases caused by foodborne pathogenic bacteria are increasing daily, and the enhancement of antibiotic resistance of pathogenic bacteria poses many difficulties in the treatment of disease.

In this study, six fresh fruits and vegetable samples were selected for isolation and identification of culturable bacteria and analysis of antibiotic resistance. The whole genome of Citrobacter freundii isolated from cucumber was sequenced and analyzed by Oxford Nanopore sequencing.

The results show that 270 strains of bacteria were identified in 6 samples. From 12 samples of direct food, 2 kinds of probiotics and 10 kinds of opportunistic pathogens were screened. The proportion of Citrobacter freundii screened from cucumber was significantly higher than that from other samples, and it showed resistance to a variety of antibiotics. Whole genome sequencing showed that Citrobacter freundii was composed of a circular chromosome containing signal peptides, transmembrane proteins and transporters that could induce antibiotic efflux, indicating that Citrobacter freundii had strong adaptability to the environment. The detection of genes encoding carbohydrate active enzymes is more beneficial to the growth and reproduction of Citrobacter freundii in crops. A total of 29 kinds of ARGs were detected in Citrobacter freundii, mainly conferring resistance to fluoroquinolones, aminoglycosides, carbapenem, cephalosporins and macrolides. The main mechanisms are the change in antibiotic targets and efflux pumps, the change in cell permeability and the inactivation of antibiotics and the detection of virulence factors and ARGs, further indicating the serious risk to human health.

The detection of genomic islands and prophages increases the risk of horizontal transfer of virulence factors and ARGs, which spreads the drug resistance of bacteria and pathogenic bacteria more widely.

Blockchain-based traceability technology (BTT) is an emerging digital technology that claims to have the potential to fulfil the demand for traceability to safeguard fruit safety. Drawing on the technological, organisational and environmental (TOE) framework, this study aims to investigate the perceived facilitators and barriers that influence the behavioural intentions of multiple stakeholders in the Vietnamese fruit supply chain (i.e., farmers, trading enterprises and consumers) to adopt BTT.

This study utilised a qualitative approach of semi-structured in-depth interviews with 60 stakeholders in the Vietnamese fruit supply chain to achieve the research objectives. NVivo 12 was employed to analyse the collected data using content and thematic analysis.

The findings identify several perceived facilitators that motivate BTT adoption. These include trust, transparency, business performance, the formation of alliances, consumer awareness of food safety and ethical agricultural practices, fruit branding and the pivotal role of farmers' cooperatives. Meanwhile, the perceived barriers to BTT adoption include a lack of digital literacy amongst the stakeholders, poor organisational culture, the high cost of traceability-enabled products and data privacy and security governance.

This study suggests that technology awareness and perceived facilitators and barriers should be incorporated into the design and deployment of blockchain-based traceability technology in the agri-food supply chain in developing countries.

To the best of the authors' knowledge, this study is the first qualitative paper that attempts to fill the research gap of understanding the perceived facilitators and barriers that influence the intentions of multiple stakeholders in the fruit supply chain to adopt BTT in the context of a developing economy.

The coronavirus disease (COVID-19) pandemic continues to impact economic systems, with devastating consequences on livelihoods. Anecdotal evidence has predicted the adverse effects of COVID-19 on the livelihood of food system actors. Uganda experienced two lockdowns in March 2020 and June 2021 with varying government containment measures. During the first lockdown, fresh food market vending was deemed essential to meet urban food demand, and was consequently exempted from a total shutdown despite the ban on public and private transport. Thus, this study sought to examine the effect of COVID-19 containment measures on fresh food market vending businesses in Uganda.

Using primary data collected from fresh food market vendors, this study applied a pooled time-series estimation to examine the effect of the first lockdown COVID-19 containment measures on fresh food vendors' welfare.

The study revealed that COVID-19 had a significant negative impact on the income of fresh food vendors, with female vendors being the most affected. COVID-19 containment measures reduced the diversity of buyers, individual customers and the number of commodities traded in causing a greater impact on vendors' income.

The unavailability of data for vendors who did not return to the market at the time of data collection limits the scope of the study. Additionally, the absence of data for the second lockdown limited the analysis to only March 2020 lockdown period.

The empirical analysis highlights how vulnerabilities of different gender categories could be exacerbated by crises. The study provides empirical evidence of various market distortions caused by the COVID-19 pandemic and the disproportionate impact on women and men market vendors which calls for the need to integrate women's perspectives in future planning for market systems as well as advocating for gender-sensitive recovery responses.

Polycystic ovary syndrome (PCOS) is a prevalent and multifaceted metabolic and endocrine disorder that affects a significant number of women in their reproductive years. The purpose of this study is to investigate the relationship between the lifeline diet score (LLDS) and PCOS.

In this study, the authors enrolled 105 women who had recently been diagnosed with PCOS. 105 women without PCOS, matched for age and body mass index (BMI), were selected as the control group. The mean age of the participants was 34.80 ± 5.37 years old. Standardized procedures were used to measure anthropometric indicators and assess the body composition of each participant. To determine the dietary patterns, a validated and reliable 147-item food frequency questionnaire (FFQ) was administered. Based on the responses to the FFQ, the LLDS was calculated using 12 specific components. Multiple and univariate logistic regression analyses were performed to estimate the associations between LLDS and PCOS, considering various factors.

In the control group, the mean LLDS was 45.61 ± 9.67; while in the case group, the mean LLDS was 25.10 ± 7.49, respectively (P = 0.001). After adjusting for socioeconomic status (SES), age, protein, fat, physical activity and BMI, the probability of developing PCOS is 69% lower in the third tertiles of LLDS than in the first tertiles (OR = 0.31, CI 95% = 0.15–0.62), (P < 0.001).

The study finds that a higher LLDS correlates with reduced PCOS risk, echoing dietary advice to boost fruits, dairy, vegetables, legumes, poultry and grains while limiting pasta, rice, bread, eggs, red meat, sweets, sugar and hydrogenated fats.

Teaching wine tasting online is challenging, even given the curated digital tools of the Wine and Spirit Education Trust, a highly renowned online wine certification system is used. This paper aims to initially explore wine experts’ opinions about online wine education and subsequently examine the feasibility of customizing wine appreciation lexicons for Chinese learners.

A two-study multimethod approach was adopted. Study 1, a two-stage Delphi study, was conducted with 17 wine experts representing a number of countries, using a mix of closed/open-ended questions in an online survey. Data was collected in a market study in Study 2, conducted at agricultural markets in Thailand (pilot test) and China. Dialogues with market sellers were undertaken, evoking mental imagery of wine descriptors to explore the relevance of traditional versus local aromas and flavors in describing wine.

Findings concentrate on three main areas: general advantages/disadvantages of online wine education, reactions toward asynchronous/synchronous methods of wine tasting and, finally, the feasibility of customizing a wine appreciation lexicon for Chinese learners.

The study presents novel insights into the role of online wine education in China.

Due to the recent disruptions caused by COVID-19, global supply chains are stress tested. The affected supply chains have interfered with market tonnage prices for the yield of perishable products like mangoes that are highly dependent on their quality. This research, through empirical findings, thus determines and comprehends the factors influencing mango quality (size).

A framework is developed for finding the potential factors of quality building on the previous literature and studies on the available topic. The data collection included face-to-face interviews comprising 240 farmers, hired managers and preharvest contractors in India's Jangaon, Rangareddy and Yadadri Bhuvanagiri districts of Telangana state. The data analysis is done using multiple regression, and the outcomes form the basis of the design of the experiments model.

The empirical insights support that the quality of mango is affected by factors such as the number of picking cycles, the cost of fertilizer, the variety of fertilizers used, the variety of pesticides used and pesticide application frequency. The direct implications are the benefit to farmers in improving mango quality and maximizing profit per yield cycle.

To the best of the authors’ knowledge, the first research that has specifically focused on holistically improving the quality(size) of mangoes.

The findings contribute to the perishable supply chain literature, specifically to the mango study, to comprehensively showcase the factors impacting the quality of mangoes and provide guidance to farmers regarding orchard practices.

This study aims to determine the influence of bruise damage generated from the impact test on the physical, chemical and nutritional responses of tomato fruit.

The impact loading was applied from different heights. The impact energies for 20, 40 and 60 cm drop heights were 129.59, 259.18 and 388.77 mJ, respectively. The injured samples were kept for 48 hours at low (10 °C) and ambient (22 °C) storage temperatures. Weight loss, firmness, color, total soluble solids (TSS), lycopene and carotenoids were measured before the impact test (day 0) and after 48 hours of the impact and storage.

The drop height of 60 cm and storage at 22 °C showed the highest values in the bruised area. The impact from the 60 cm drop height significantly reduced weight, lightness, yellowness, hue, firmness, lycopene and carotenoids, particularly at 22 °C storage condition. Redness (a*) and color index (CI) showed a remarkable increase (p < 0.05) at 22 °C on tomatoes affected from the highest impact level (388.77 mJ) after 48 hours of storage. No pronounced significance was seen between TSS and drop heights. This study has confirmed that tomato bruising for a short-term storage period induces physiological changes at different storage temperature conditions.

The study can confirm the crucial role of inappropriate handling in increasing fresh produce loss within short-term storage. Also, this research can be considered as a guideline for transporters, handlers, processors, distributors and horticulture researchers in the fresh produce supply chain during postharvest operations.