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The purpose of this paper is to determine the antioxidant properties (capacity and component) of four non‐leafy vegetables. The correlation between the antioxidant capacity and its components of the studied vegetables was also assessed.

Winged beans, also known as four‐angled bean (Psophocarpus tetragonolobus), French bean (Phaseolus vulgaris), string bean (Vigna sinensis) and snow pea (Pisum sativum) were selected as samples from among the common non‐leafy vegetables consumed by Malaysians. These fresh vegetables were lyophilised and ground and their ethanolic extracts were prepared for antioxidant capacity assays and total phenolic, β‐carotene and ascorbic acid contents.

Among the vegetables, string beans showed the highest antioxidant capacity compared to the other vegetables studied (p < 0.05). The total phenolic, ascorbic acid and β‐carotene contents of snow peas were significantly higher (p < 0.05) than the other vegetables. There was a significant positive correlation between scavenging activity and antioxidant components studied. On the other hand, a negative correlation was found between antioxidant activity and its components of the studied vegetables.

Previous reports have indicated that vegetables contain high levels of antioxidants. However, data on antioxidant capacity of these non‐leafy vegetables are still lacking. This research paper shows the non‐leafy vegetables studied is a promising source of antioxidants with good antioxidant capacity. Beside that, along with the studied antioxidant components, other compounds in these vegetables could also contribute to their antioxidant capacity.

The purpose of this paper is to reveal influential information used in vegetable purchasing decisions of household primary food shoppers in China and in Taiwan.

Two in-person surveys were administrated separately in Shanghai, China and in Taipei, Taiwan, the two most populous metropolitan areas in China and in Taiwan, respectively.

Results reveal that about 32 per cent of respondents in Taipei purchase vegetables once in every two to three days. The majority of respondents in Shanghai (81 per cent) purchase vegetables on a daily basis. Results of factor analysis reveal the four dimensions, origin labelling, promotion, selection, and quality, influence purchasing decisions of respondents in Taipei and in Shanghai. For household primary food shoppers in Taipei, origin labelling and selection help food shoppers in Taipei in vegetable purchasing decisions, but not promotion. For those food shoppers in Shanghai who purchase large volume of vegetables, quality is the most important factor in purchasing decisions.

This study provides new insights into vegetable purchasing decisions in two populous cities in China and Taiwan. The contributions of this study are to provide valuable information in vegetable purchasing decisions for effective information communication in retailing; and to fill in the gap of research in vegetable purchasing decisions in consumer behaviour studies in Chinese societies.

In this chapter, drone and vision camera technology have been combined for monitoring the crop product quality. Three vegetable crops such as tomato, cauliflower, and eggplant are considered for quality monitoring; hence, image datasets are collected for those vegetables only. The proposed method classified the vegetables into two classes as rotten and nonrotten products so the images were collected for rotten and nonrotten products. Three different features information such as chromatic features, contour features, and texture features have been extracted from the dataset and further used to train a Gaussian kernel support vector machine algorithm for identifying the product quality. The system utilized multiple features such as chromatic, contour, and texture features in classifier training which enhances the accuracy and robustness of the system. Chromatic features were utilized for detecting the crop while other features such as contour and texture features were utilized for further classifier building to identify the crop product quality. The performance of the system is evaluated based on the true positive rate, false discovery rate, positive predictive value, and accuracy. The proposed system identified good and bad products with a 97.9% of true positive rate, 2.43 % of false discovery rate, 97.73% positive predictive value, and 95.4% of accuracy. The achieved results concluded that the results are lucrative and the proposed system is efficient in agriculture product quality monitoring.

Malnutrition is widespread and affects about one-third of humanity. Increasing production and consumption of vegetables is an obvious pathway to improve dietary diversity, nutrition and health. This chapter analyses how climate change is affecting vegetable production, with a special focus on the spread of insect pests and diseases. A thorough literature review was undertaken to assess current global vegetable production, the factors that affect the spread of diseases and insect pests, the implications caused by climate change, and how some of these constraints can be overcome. This study found that climate change combined with globalization, increased human mobility, and pathogen and vector evolution has increased the spread of invasive plant pathogens and other species with high fertility and dispersal. The ability to transfer genes from wild relatives into cultivated elite varieties accelerates the development of novel vegetable varieties. World Vegetable Center breeders have embarked on breeding for multiple disease resistance against a few important pathogens of global relevance and with large evolutionary potential, such as chili anthracnose and tomato bacterial wilt. The practical implications of this are that agronomic practices that enhance microbial diversity may suppress emerging plant pathogens through biological control. Grafting can effectively control soil-borne diseases and overcome abiotic stress. Biopesticides and natural enemies either alone or in combination can play a significant role in sustainable pathogen and insect pest management in vegetable production system. This chapter highlights the importance of integrated disease and pest management and the use of diverse production systems for enhanced resilience and sustainability of highly vulnerable, uniform cropping systems.

Despite the well-known positive effects of fruits and vegetables, their consumption in many countries is lower than those recommended. This study aims to systematically examine the effects of community-based interventions on fruits and vegetables consumption in adults.

To collect relevant publications, the authors searched electronic databases including PubMed/MEDLINE, Scopus and Web of Science from January 2000 to July 2021. Considering random models, this study analyzed the data using weighted mean differences (WMD) and 95% confidence intervals (CI).

Among 1,621 retrieved publications, 21 articles met the inclusion criteria. The overall effect size demonstrated that, at the end of the trials, the educational interventions increased the consumption of aggregated fruits and vegetables (WMD: 0.55 serving/day, 95%CI: 0.34, 0.77), and vegetables (WMD: 0.15, 95%CI: 0.09, 0.21, I2: 33.2%; p = 0.103) in the intervention groups, compared to the control groups.

The subgroup analyses that were based on the type of interventions (face-to-face education compared to online interventions), location (home-based compared to the other types of interventions) and duration (24 weeks and higher) of interventions, and accompanied financial support reduced between-group heterogeneity. An efficient interventional program on increasing fruits and vegetables consumption should be part of a multi-component project.

To the best of the authors’ knowledge, no systematic review and meta-analysis has provided a summary of the effects of community-based interventions on fruits and vegetables consumption in adult populations, and there is no fixed conclusion that could be drawn in this regard.

Despite its health benefits, vegetable consumption is low in urban Nigeria. Interventions have been successful in increasing urban Nigerians' vegetable intake in the home environment, but interventions doing so for popular out-of-home consumption are lacking. This study aimed to design, implement and assess an intervention to increase the vegetable intake of urban Nigerians through street foods.

A quasi-experimental design was applied in Lagos, Nigeria. During the intervention, 12 trained street food vendors (SFVs) actively promoted the health benefits of vegetables to their customers (using marketing statements and posters) and provided the option to buy an additional green leafy vegetables (GLVs) side dish to their meal. Purchases were observed, and a survey was conducted before and during the intervention to measure perceived meal quality and satisfaction. Six to eight weeks after the intervention, a mystery shopper visited the vendor to assess if they were still selling additional GLVs.

Almost half (46%) of the 1,506 observed customers bought additional GLVs during the intervention. Both at baseline (N = 452) and during intervention (N = 564), meal satisfaction was high. Users were on average more educated and older than non-users. Most vendors did not perceive the sale of additional GLVs as additional work. Six to eight weeks after the intervention, nine vendors (75%) were still selling additional GLVs.

This study showed that SFVs informing consumers on the potential health benefits of vegetables and offering these vegetables in street food dishes at a commercially viable price is an interesting option to increase vegetable intake.

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.

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.

Adequate vegetable consumption is fundamental to a healthy balanced diet; however, global compliance with recommendations is poor which is particularly important for young adults as they form food consumption habits. There is a growing interest in the circular economy of hospitality and sustainability of current dietary patterns in light of climate change and an expanding global population. The food value chain needs to be considered both vertically and horizontally where the research and development (R&D) investment is optimised by being “joined up” and not fragmentary; in addition, consumer trade-offs of health vs for example sensory appeal are taken into consideration. The purpose of this study was to identify factors predicting acceptance of vegetable dishes by young adults and present a roadmap that can be used for dish development and healthful marketing.

This study used the health belief model (HBM) as framework to investigate key factors that encourage vegetable intake by young adults using an online questionnaire sample of 444 enrolled in undergraduate programs at universities in Brazil.

Structural modelling showed that vegetable consumption frequency was positively influenced by Health concerns, Naturalness and Self-efficacy (including cooking skills), whereas Sensory factors and Familiarity demonstrated a negative loading that might be related to unpleasantness.

Globally, there is a strong need to promote the consumption of vegetables as a public health policy priority but also to ameliorate barriers to action that could be facilitated by availability, dish development and healthful marketing in hospitality operations.

This study aimed to explore the association of childhood experience of being forced to eat – where a particular person forced a child to eat a specific food item against one's will – on food consumption, especially vegetables later in young adulthood.

An online questionnaire survey was conducted from 19 to 24 February 2020 with 1,277 young Korean adults in their 20s. A total of 1,226 eligible responses were obtained, wherein 410 (33.4%) responses with forced-eating experiences in childhood were collected. To answer the survey questionnaire, the respondents were asked to recall one of the most memorable forced-eating episodes.

The results showed that forced-eating occurred mostly among lower grades or pre-schoolers, at home or in schools/childcare facilities, and by parents or homeroom teachers. Vegetables were the most common target food for forced-eating. The Forced-Eating-Experienced group with vegetables as the target food tended to have significantly lower preference for and acceptance of vegetables. Furthermore, among this group, those who had displayed unpleasant post-ingestion physical symptoms after forced-eating or refused to eat the target vegetables at all despite forced-eating, showed significantly lower acceptance of vegetables. Additionally, they were also less likely to eat the target vegetable at present, but more likely to agree that their current dietary habits were affected by their childhood experiences of forced-eating.

The study attempted to fill the knowledge gap on the association of negative childhood experiences of forced-eating with food consumption, especially vegetables, later in young adulthood.