Search Results (1,187)

With the advancement of technology, unmanned ground vehicles (UGVs) have shown increasing application value in various tasks, such as food delivery and cleaning. A key capability of UGVs is obstacle detection, which is essential for avoiding collisions during movement. Current mainstream methods use point cloud information from onboard sensors, such as light detection and ranging (LiDAR) and depth cameras, for obstacle perception. However, the substantial volume of point clouds generated by these sensors, coupled with the presence of noise, poses significant challenges for efficient obstacle detection. Therefore, this paper presents a fast obstacle detection algorithm designed to ensure the safe operation of UGVs. Building on multi-sensor point cloud fusion, an efficient ground segmentation algorithm based on multi-plane fitting and plane combination is proposed in order to prevent them from being considered as obstacles. Additionally, instead of point cloud clustering, a vertical projection method is used to count the distribution of the potential obstacle points through converting the point cloud to a 2D polar coordinate system. Points in the fan-shaped area with a density lower than a certain threshold will be considered as noise. To verify the effectiveness of the proposed algorithm, a cleaning UGV equipped with one LiDAR sensor and four depth cameras is used to test the performance of obstacle detection in various environments. Several experiments have demonstrated the effectiveness and real-time capability of the proposed algorithm. The experimental results show that the proposed algorithm achieves an over 90% detection rate within a 20 m sensing area and has an average processing time of just 14.1 ms per frame. Full article

Background: In the Sahel, one of the largest semi-arid areas in the world, pastoral livestock is the main source of protein for the local population. The quantification of herbaceous biomass in the Sahelian rangelands is of major importance since it provides food for the livestock. The main method used to monitor the biomass consists of cutting, drying, and weighting it. However, indirect methods are available and allow a reliable biomass estimation. Methods: In this study, we developed a non-destructive method for estimating herbaceous biomass for the Sahelian rangelands based on measurements of its height and coverage. Results: Results show that the fit is better in the fenced area. The volume index (height × coverage) provides a better biomass prediction with relative differences between measured and predicted biomass of 11% in 2017 and 8% in 2019. Conclusions: Monitoring herbaceous biomass without destroying it is possible by measuring only its height and coverage. Full article

Before metabolic and bariatric surgery (MBS), moderate weight loss and liver left lateral section (LLLS) volume reduction are desirable. Low-carb ketogenic diet-induced weight loss before MBS has been shown to have beneficial effects on the reduction in body weight (BW) and LLLS. However, the nutritional protocol of low-carb ketogenic diet may be hard to keep for prolonged periods due to the lack of sweet taste. Furthermore, transitioning to a low-carb ketogenic diet can cause people to crave foods that are restricted in the ketogenic diet, such as cookies, bread, pasta, and bagels. Therefore, many ready-to-eat low-carb ketogenic products (RLCKP) that mimic carbohydrate-rich foods despite a low-carb composition have been provided to make it easier for the patients to adopt a low-carb lifestyle. To date, there are no studies describing the dietary protocol for efficient and safe use of pre-operative RLCKP in terms of weight and LLLS volume reduction in patients with obesity scheduled for MBS. Therefore, the aim of this study was to assess the safety and effectiveness of a 4-week diet using RLCKP in reducing BW and LLLS volume in patients with obesity scheduled for MBS. Patients with obesity (n = 42) with a mean body mass index (BMI) of 42.4 ± 9.2 kg/m² scheduled for MBS underwent a 4-week preoperative RLCKP diet intervention. Their weight, LLLS volume, and biochemical and metabolic parameters were measured before and after the diet. Patient compliance was assessed by the presence of ketonuria and weight loss. Qualitative methods (5-point Likert questionnaire) were used to measure diet acceptability and side effects. All patients completed the study. We observed highly significant decreases in BW (−6.5%, p < 0.001), and LLLS volume (−22.3%, p < 0.001) and an amelioration of patient clinical status. All patients showed a high frequency of acceptability and compliance in following the diet. No adverse side effects were reported. Based on our findings, we were able to support the hypothesis that a 4-week preoperative RLCKP diet is safe and effective in reducing BW, and LLLS volume in patients with obesity scheduled for MBS. Full article

The Kabul River Basin (KRB) is witnessing frequent flood and drought events that influence food production and distribution. The KRB is one of the world’s poorest regions regarding food security. Food security issues in the KRB include shifts in short-term climate cycles with significant river flow variations that result in inadequate water distribution. Due to the lack of hydro-infrastructure, low irrigation efficiency, and continuing wars, the Afghanistan portion of the KRB has experienced low agricultural land expansion opportunities for food production. This research assesses the relationship between flood mitigation, flow balances, and food production and, cumulatively, assesses the social and economic well-being of the population of the KRB. SWAT modeling and climate change (CCSM4) implications are utilized to assess how these relationships impact the social and economic well-being of the population in the KRB. The intricacies of transboundary exchange and cooperation indicate that the conservation of ~38% of the water volume would nearly double the low flows in the dry season and result in the retention of ~2B m³/y of water for agricultural developmental use. Results show that the peak flood flow routing in reservoirs on the Afghanistan side of the KRB would have a substantial positive impact on agricultural products and, therefore, food security. Water volume conservation has the potential to provide ~44% more arable land with water, allowing a ~51% increase in crop yield, provided that improved irrigation efficiency techniques are utilized. Full article

Food reformulation has become a critical concern for the food industry due to society’s growing interest in improving nutritional profiles. In this context, Moringa oleifera, a plant native to India with high nutritional value, offers an alternative for enriching food products. Its abundant antioxidants, proteins and fibers make it an attractive choice. This study aimed to assess the impact of substituting wheat flour with dried moringa leaf powder in snack crackers. These were prepared using 53% (w/w) wheat flour and substituting part of it with different replacement percentages (1, 2.5, 5, 7.5 and 10% (w/w)) of dried moringa leaf powder. The baked snacks were characterized in terms of moisture, aw, optical properties, mechanical properties, antioxidant capacity, total phenol content, protein content and energy value. In addition, a sensory analysis was carried out to evaluate the acceptability of the crackers. The results indicated that cracker thickness and volume remained constant across all formulations. As moringa incorporation increased, weight loss decreased. The high water-holding capacity of moringa leaf powder and its protein content contributed to keep the same moisture content and reduce water activity in the crackers, resulting in decreased firmness. The snacks exhibited a greener color with brownish tones as moringa replacement levels rose. Antioxidant capacity (up to 251 ± 13 mg Trolox E/100 g snack) and total phenol content (up to 1172 ± 288 mg Galic acid/100 g snack) were higher with greater moringa inclusion, remaining stable after baking. The protein content increased, allowing all crackers to be labeled as a “protein source” since the energy value due to protein was higher than 12%. However, judges found the color, aroma and flavor attributes of the highest moringa content (10%) crackers too intense. In conclusion, replacing up to 5% of wheat flour with dried moringa leaf powder in snack crackers could enhance their nutritional profile while maintaining consumer acceptance. Full article

This study aims to assess the competitive position of EU candidate countries and Eastern Partnership countries in trading fruit and vegetables in the Single European Market in 2009 and 2023. This paper presents the amount and balance of bilateral trade in fruit and vegetables between the EU and the countries considered. It also estimates their comparative advantages in the EU internal market. A mapping tool based on the Widodo scheme was used for that purpose. This study proved that most EU candidate countries and Eastern Partnership members increased their trade values and improved their competitive position in the Single European Market (SEM) over the analyzed period. The boosters of trade included the demand in EU member markets (stimulated by the evolving consumption patterns and the widespread adoption of healthy diet patterns), the population’s purchasing power, and their willingness to buy diversified products. Turkey exported a considerable volume of fruit and vegetables to the EU and gained the strongest competitive position in the SEM. In this case, the growth of exports to the EU market was primarily driven by the production potential resulting from large agricultural land resources, climate conditions, and geographical proximity. It may be concluded that the comparative advantages gained by the analyzed countries provided a basis for a beneficial export specialization, which shows the continuous relevance of the classical theory in explaining the volume and structure of trade in agri-food products. When considering the factors determining competitiveness, it may also be stated that the neoclassical theory of factor endowment developed by Heckscher, Ohlin, and Samuelson supports the optimization of agri-food export specialization in the analyzed countries. It was also shown that bilateral trade policies and agreements are decisive in trade performance and the shaping of international competitive positions. Full article

Aquaculture is one of the key economic activities to reduce food shortages worldwide. Water recirculation systems using pumps are crucial to maintain oxygenation and water quality, consuming about 35% of the total energy in this economic activity. This research proposes a multiple linear regression mathematical model to optimize oxygenation systems in intensive shrimp aquaculture by reducing energy consumption and minimizing water changes in ponds. The proposed model is key to optimizing the operation of pumping systems, allowing us to significantly reduce water turnover without compromising dissolved oxygen levels as a function of key variables such as water turnover volume, biomass, solar radiation (0–1200 W/m²), water temperature (20 °C–32 °C), phytoplankton levels (0–1,000,000 cells/ml), zooplankton (0–500,000 cells/ml), and wind speed (0–15 m/s). These variables are integrated into the model, managing to explain 94.02% of the variation in dissolved oxygen, with an R² of 92.9%, which adjusts the system conditions in real time, reducing the impact of environmental fluctuations on water quality. This leads to an estimated annual energy savings of 106,397.5 kWh, with a total consumption of 663.8 MWh. The research contributes to the development of a mathematical approach that not only improves oxygenation prediction, but also minimizes the use of water resources, improving the sustainability and profitability of shrimp farming systems, and is a robust tool that maximizes operational efficiency in intensive aquaculture, particularly where water and energy management are critical. Full article

In recent years, the global production and industrialization of avocados has led to the generation of large numbers of peel, seeds, and leaf by-products with significant environmental implications. Current efforts, including the Sustainable Development Goals, aim towards the development of sustainable operations through the valorization of waste. Previous research has focused on studying the rich chemical composition of these avocado by-products. Current studies are working on the isolation of polyphenols, flavonoids, phenolic acids and other bioactive compounds found in avocado peel, seeds and leaves for applications in nutraceutical products in the food, pharmaceuticals and cosmetics industries. The inclusion of these extracts in industrial matrices often requires stabilization technologies such as encapsulation emulsions to ensure the delivery and bioactivity of these target compounds. This review will discuss the global production volumes of avocado and its by-products as well as the potential inclusion in various industries based on their chemical compositions. Additionally, this work addresses the various applications that have been previously proposed for the wastes and their extracts. This review also covers the stabilization techniques previously employed in avocado extract treatment, their applications, and the current challenges and opportunities associated with avocado by-products. Full article

The goal of this study was to determine how the loss of dates affected food security in Saudi Arabia from 2000 to 2021. The researchers achieved this by using food security indicators, economic equations to quantify agricultural resource losses, and econometric analyses to develop a partial adjustment model. The results show that dates are considered a self-sufficient crop as well as an export crop, as the state resorts to exporting the surplus instead of storing it for local consumption. During the study period, there was an increase in the period of sufficiency in date production for local consumption and the period of coverage of imports for local consumption. In 2000, the volume of dates lost increased by approximately 131.22%. The total loss of land and water resources reached 31,918.4 hectares and 324.759 million cubic meters, respectively. The value of the partial adjustment coefficient (λ) indicates that about 81.1% of the imbalance in the equilibrium between the actual and equilibrium levels is adjusted within one year. Loss is considered one of the most important factors that determine food security for dates, in addition to the total value of loans financed to date factories, the total population, and the level of technological progress in the marketing and storage of dates. It was found that a change of 10% in these variables leads to a change in food security for dates of (−2.37%), 0.07, (−15.33%), and 0.58%, respectively, and the adjusted coefficient of determination was estimated at 0.93. This study recommends the following: (1) expanding the use of modern technologies for date post-harvest transportation and storage, and (2) increasing support and loans allocated to date factories to increase warehouses for cooling and storage to accommodate the increase in production and surplus consumption. Full article

Background: Obesity, a global disease, can lead to different chronic diseases and a series of social health problems. Lifestyle changes, especially dietary changes, are the most effective way to treat obesity. Euglena, a novel food, has attracted much attention. Previous studies have shown that Euglena is an important modulator of the host immune response. In this study, the effects of Euglena as a nutritional intervention in high-fat-diet-induced obese C57BL/6J mice were investigated regarding adipose tissue accumulation and lipid and glucose metabolism by gavage at the dose of 100 mg/kg bodyweight for 9 weeks. This study is one of the few to investigate, in detail, the preventive effects of dietary Euglena on obesity. Methods: Five-week-old male C57BL/6J mice were fed with a high-fat diet (HFD) to induce obesity. An obesity model was created by feeding the high-fat diet for a period of 10 weeks. Obese mice were randomized into 2 groups with the same mean body weight, and no significant differences were observed between the groups: (1) the mice in the HEG group were maintained on a high-fat diet and daily gavaged with Euglena (100 mg/kg body weight) dissolved in saline (n = 7); and (2) the mice in the HFD group were maintained on a high-fat diet and daily gavaged with saline with the same volume (n = 7). The experiment finished after a nine-week period. Results: The results showed that Euglena could reduce the accumulation of white body fat, including subcutaneous fat and visceral fat, and mainly targeted subcutaneous fat. Euglena also reduced adipocyte particle size expansion, promoted lipolysis in adipose (adipose triglyceride lipase and hormone-sensitive triglyceride lipase) and liver tissue (reduced non-esterified fatty acid content), and improved obesity-induced ectopic fat deposition and glucose tolerance. Conclusions: Our findings suggest that Euglena, as a nutritional intervention in HFDs, efficiently reduces body weight and white adipose tissue deposition. The mechanism of Euglena is mainly though enhancing lipolysis. It is worth noting that Euglena β-glucan recovers the hyperglycemia and accumulation of ectopic fat within the liver induced by HFD. Our study is one of the few studies to report in detail the preventive effects of dietary Euglena on obesity in vivo. This study revealed that Euglena also has an important ameliorative effect on obesity and metabolic disorders, which laid a theoretical foundation for its future application in functional foods. Full article

The process of standardization within the dominant agrifood system is being accompanied by growing demand for differentiated high-quality food products that are environmentally sustainable. In this scenario, Alternative Food Networks (AFNs) could help the local agrifood sector and local or traditional variety crops regain their pivotal role. The objective of this paper is to assess the potential of AFNs in the metropolitan area of Granada and in the nearby mountain region of the Alpujarra in the promotion and distribution of local varieties of fruit and vegetables from this region. The research took the form of case studies in which the information was collected in semi-structured interviews with the AFNs and then subjected to content analysis. The results highlight that the socioenvironmental commitment of the AFNs is their strongest asset for the conservation, sale, and distribution of biodiverse local variety produce. However, these organizations still have very limited knowledge of local varieties and there are doubts as to their capacity to mobilize sufficient volumes of these products and successfully establish themselves in rural areas. Full article

The growing food waste phenomenon is recognised as a global issue with significant social, economic, and environmental burdens. This is a major concern in developed nations, where consumers are the largest contributors to the total volume of food waste production. As a leading cause of food and water insecurity, economic inequality, and environmental degradation, preventing and minimising consumer food waste is a key objective for policymakers and practitioners. Due to the complex consumer behaviours and practices associated with food waste generation, current understandings of why food waste occurs remain scattered. The purpose of this review is therefore to map the history and development of consumer food waste research over time, highlighting key themes and inconsistencies within the existing literature. Adopting a narrative approach, the literature is organised into three distinct themes to explore and identify the various internal and external determinants of consumer food waste. Our analysis highlights consumer food waste as a complex and multi-faceted challenge which cannot be attributed to one single variable, but rather a combination of behaviours determined by various societal, individual, and behavioural factors. While previous research tends to frame food waste as mainly a consumer issue, this review identifies several collective actors who are central to the problem. These findings call for a holistic view across the food supply chain to help identify opportunities for multi-stakeholder actions that prevent and reduce food waste at the consumer level. Drawing upon these new insights, we provide practical recommendations to assist policymakers, retailers, and consumers in mitigating consumer-related food waste. Full article

Background: The increased popularity and ubiquitous use of glucagon-like peptide-1 receptor agonists (GLP-1 RAs) for the treatment of diabetes, heart failure, and obesity has led to significant concern for increased risk for perioperative aspiration, given their effects on delayed gastric emptying. This concern is highlighted by many major societies that have published varying guidance on the perioperative management of these medications, given limited data. We conducted a scoping review of the available literature regarding the aspiration risk and aspiration/regurgitant events related to GLP-1 RAs. Methods: A librarian-assisted search was performed using five electronic medical databases (PubMed, Embase, and Web of Science Platform Databases, including Web of Science Core Collection, KCI Korean Journal Database, MEDLINE, and Preprint Citation Index) from inception through March 2024 for articles that reported endoscopic, ultrasound, and nasogastric evaluation for increased residual gastric volume retained food contents, as well as incidences of regurgitation and aspiration events. Two reviewers independently screened titles, abstracts, and full text of articles to determine eligibility. Data extraction was performed using customized fields established a priori within a systematic review software system. Results: Of the 3712 citations identified, 24 studies met eligibility criteria. Studies included four prospective, six retrospective, five case series, and nine case reports. The GLP-1 RAs reported in the studies included semaglutide, liraglutide, lixisenatide, dulaglutide, tirzepatide, and exenatide. All studies, except one case report, reported patients with confounding factors for retained gastric contents and aspiration, such as a history of diabetes, cirrhosis, hypothyroidism, psychiatric disorders, gastric reflux, Barrett’s esophagus, Parkinson’s disease, dysphagia, obstructive sleep apnea, gastric polyps, prior abdominal surgeries, autoimmune diseases, pain, ASA physical status classification, procedural factors (i.e., thyroid surgery associated with risk for nausea, ketamine associated with nausea and secretions), and/or medications associated with delayed gastric emptying (opioids, anticholinergics, antidepressants, beta-blockers, calcium channel blockers, DPP-IV inhibitors, and antacids). Of the eight studies (three prospective and five retrospective) that evaluated residual contents in both GLP-1 users and non-users, seven studies (n = 7/8) reported a significant increase in residual gastric contents in GLP-1 users compared to non-users (19–56% vs. 5–20%). In the three retrospective studies that evaluated for aspiration events, there was no significant difference in aspiration events, with one study reporting aspiration rates of 4.8 cases per 10,000 in GLP-1 RA users compared to 4.6 cases per 10,000 in nonusers and the remaining two studies reporting one aspiration event in the GLP-1 RA user group and none in the non-user group. In one study that evaluated for regurgitation or reflux by esophageal manometry and pH, there was no significant difference in reflux episodes but a reduction in gastric acidity in the GLP-1 RA user group compared to the non-user group. Conclusions: There is significant variability in the findings reported in the studies, and most of these studies include confounding factors that may influence the association between GLP-1 RAs and an increased risk of aspiration and related events. While GLP-1 RAs do increase residual gastric contents in line with their mechanism of action, the currently available data do not suggest a significant increase in aspiration and regurgitation events associated with their use and the withholding of GLP-1 RAs to reduce aspiration and regurgitation events, as is currently recommended by many major societal guidelines. Large randomized controlled trials (RCTs) may be helpful in further elucidating the impact of GLP-1 RAs on perioperative aspiration risk. Full article

Seaweed foreign object detection has become crucial for food consumption and industrial use. This process not only can prevent potential health issues, but also maintain the overall marketability of seaweed production in the food industry. Traditional methods of inspecting seaweed foreign objects heavily rely on human judgment, which deals with large volumes with diverse impurities and can be inconsistent and inefficient. An automation system for real-time seaweed foreign object detection in the inspection process should be adopted. However, automated seaweed foreign object detection has several challenges due to its dependency on visual input inspection, such as an uneven surface and undistinguishable impurities. In fact, limited access to advanced technologies and high-cost equipment would also influence visual input acquisition, thereby hindering the advancement of seaweed foreign object detection in this field. Therefore, we introduce a computer vision model utilizing a deep learning-based algorithm to detect seaweed impurities and classify the samples into ‘clean’ and ‘unclean’ categories. In this study, we managed to identify six types of seaweed impurities including sand sticks, shells, discolored seaweed, grass, worm shells, and mixed impurities. We collected 1204 images and our model’s performance was thoroughly evaluated based on comparisons with three pre-trained models, i.e., Yolov8, ResNet, and MobileNet. Our experiment shows that Yolov8 outperforms the other two models with an accuracy of 98.86%. This study also included the development of an Android application to validate the deep learning engine to ensure its optimal performance. Based on our experiments, the mobile application managed to classify 50 pieces of seaweed samples within 0.2 s each, showcasing its potential use in large-scale production lines and factories. This research demonstrates the impact of Artificial Intelligence on food safety by offering a scalable and efficient solution that can be deployed in other food production processes facing similar challenges. Our approach paves the way for broader industry adoption and advancements in automated foreign object detection systems by optimizing detection accuracy and speed. Full article

Removing fat from whole milk and adding water to milk to increase its volume are among the most common food fraud practices that alter the characteristics of milk. Usually, deviations from the expected fat content can indicate adulteration. Infrared spectroscopy is a commonly used technique for distinguishing pure milk from adulterated milk, even when it comes from different animal species. More recently, portable spectrometers have enabled in situ analysis with analytical performance comparable to that of benchtop instruments. Partial Least Square (PLS) analysis is the most popular tool for developing calibration models, although the increasing availability of portable near infrared spectroscopy (NIRS) has led to the use of alternative supervised techniques, including support vector machine (SVM). The aim of this study was to develop and implement a method based on the combination of a compact and low-cost Fourier Transform near infrared (FT-NIR) spectrometer and variable cluster–support vector machine (VC-SVM) hybrid model for the rapid classification of milk in accordance with EU Regulation EC No. 1308/2013 without any pre-treatment. The results obtained from the external validation of the VC-SVM hybrid model showed a perfect classification capacity (100% sensitivity, 100% specificity, MCC = 1) for the radial basis function (RBF) kernel when used to classify whole vs. not-whole and skimmed vs. not-skimmed milk samples. A strong classification capacity (94.4% sensitivity, 100% specificity, MCC = 0.95) was also achieved in discriminating semi-skimmed vs. not-semi-skimmed milk samples. This approach provides the dairy industry with a practical, simple and efficient solution to quickly identify skimmed, semi-skimmed and whole milk and detect potential fraud. Full article