Agricultural Water Management, Год журнала: 2025, Номер 309, С. 109347 - 109347
Опубликована: Фев. 2, 2025
Язык: Английский
Food Chemistry, Год журнала: 2024, Номер 446, С. 138893 - 138893
Опубликована: Март 1, 2024
Modern food chain supply management necessitates the dire need for mitigating fraud and adulterations. This holistic review addresses different advanced detection technologies coupled with chemometrics to identify various types of adulterated foods. The data on research, patent systematic analyses (2018-2023) revealed both destructive non-destructive methods demarcate a rational approach in countries. These intricate hygiene standards AI-based technology are also summarized further prospective research. Chemometrics or techniques extensive demanded. A assessment reveals that detect involving multiple substances be simple, expeditious, precise, cost-effective, eco-friendly non-intrusive. scrutiny resulted 39 relevant experimental sets answering key questions. However, additional research is necessitated an affirmative conclusion system modern AI machine learning approaches.
Язык: Английский
Процитировано
15
Trends in Food Science & Technology, Год журнала: 2025, Номер unknown, С. 104873 - 104873
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
3
Trends in Food Science & Technology, Год журнала: 2023, Номер 142, С. 104238 - 104238
Опубликована: Ноя. 2, 2023
Язык: Английский
Процитировано
37
Current Research in Food Science, Год журнала: 2023, Номер 7, С. 100535 - 100535
Опубликована: Янв. 1, 2023
Embracing innovation and emerging technologies is becoming increasingly important to address the current global challenges facing many food industry sectors, including dairy industry. Growing literature shows that adoption of fourth industrial revolution (named Industry 4.0) has promising potential bring about breakthroughs new insights unlock advancement opportunities in areas manufacturing sector. This article discusses knowledge recent trends progress on application 4.0 innovations First, "Dairy 4.0" concept, inspired by 4.0, introduced its enabling are determined. Second, relevant examples use Dairy milk derived products presented. Finally, conclusions future perspectives given. The results revealed robotics, 3D printing, Artificial Intelligence, Internet Things, Big Data, blockchain main 4.0. These advanced being progressively adopted sector, from farm table, making significant profound changes production milk, cheese, other products. It expected that, near future, digital will emerge, greater implementations likely be achieved, leading more automation optimization this dynamic
Язык: Английский
Процитировано
30
Comprehensive Reviews in Food Science and Food Safety, Год журнала: 2023, Номер 22(6), С. 4378 - 4403
Опубликована: Авг. 21, 2023
Abstract The egg is considered one of the best sources dietary protein, and has an important role in human growth development. With increase world's population, per capita consumption also increasing. Ground‐breaking technological developments have led to numerous inventions like Internet Things (IoT), various optical sensors, robotics, artificial intelligence (AI), big data, cloud computing, transforming conventional industry into a smart sustainable industry, known as Egg Industry 4.0 (EI 4.0). EI concept potential improve automation, enhance biosecurity, promote safeguarding animal welfare, intelligent grading quality inspection, efficiency. For transformation, it analyze available technologies, latest research, existing limitations, prospects. This review examines non‐destructive sensing technologies for industry. It provides information insights on different components 4.0, including emerging production, grading. Furthermore, drawbacks current workarounds, future trends were critically analyzed. can help policymakers, industrialists, academicians better understand integration automation. productivity, control, optimize resource management toward development
Язык: Английский
Процитировано
30
Journal of Modelling in Management, Год журнала: 2023, Номер 19(2), С. 605 - 629
Опубликована: Июль 13, 2023
Purpose Decision-making, reinforced by artificial intelligence (AI), is predicted to become potent tool within the domain of supply chain management. Considering importance this subject, purpose study explore triggers and technological inhibitors affecting adoption AI. This also aims identify three-dimensional triggers, notably those linked environmental, social, governance (ESG), as well inhibitors. Design/methodology/approach Drawing upon a six-step systematic review following preferred reporting items for reviews meta analysis (PRISMA) guidelines, broad range journal publications was recognized, with thematic under lens ESG framework, offering unique perspective on factors triggering inhibiting AI in chain. Findings In environmental dimension, include product waste reduction greenhouse gas emissions reduction, highlighting potential promoting sustainability responsibility. social encompass security quality, well-being, indicating how can contribute ensuring safe high-quality products enhancing societal welfare. involve agile lean practices, cost sustainable supplier selection, circular economy initiatives, risk management, knowledge sharing synergy between demand. The category present challenges, encompassing lack regulations rules, data privacy concerns, responsible ethical considerations, performance assessment difficulties, poor group bias need achieve human decision-makers. Research limitations/implications Despite use PRISMA guidelines ensure comprehensive search screening process, it possible that some relevant studies other databases industry reports may have been missed. light this, selected not fully captured diversity extraction themes from papers subjective nature relies interpretation researchers, which introduce bias. Originality/value research contributes field conducting diverse trigger or inhibit adoption, providing valuable insights into their impact. By incorporating protocol, offers holistic evaluation dimensions associated chain, presenting implications both professionals researchers. originality lies its in-depth examination multifaceted aspects making resource advancing area.
Язык: Английский
Процитировано
27
Computers and Electronics in Agriculture, Год журнала: 2024, Номер 226, С. 109412 - 109412
Опубликована: Сен. 7, 2024
Язык: Английский
Процитировано
14
Comprehensive Reviews in Food Science and Food Safety, Год журнала: 2024, Номер 23(4)
Опубликована: Июль 1, 2024
Abstract Given the growing global demand for seafood, it is imperative to conduct a comprehensive study on prevalence and persistence patterns of pathogenic bacteria viruses associated with specific seafood varieties. This assessment thoroughly examines safety products, considering diverse processing methods employed in industry. The importance understanding behavior foodborne pathogens, such as Salmonella typhimurium, Vibrio parahaemolyticus, Clostridium botulinum, Listeria monocytogenes , human norovirus, hepatitis A virus, emphasized by recent cases gastroenteritis outbreaks linked contaminated seafood. analysis United States globally, particular emphasis health concerns posed consumers. Ensuring crucial since directly relates consumer preferences sustainability, food safety, provenance, availability. review focuses assessing frequency, growth, durability infections that arise during It utilizes next‐generation sequencing identify responsible these illnesses. Additionally, analyzes preventing intervening while also forthcoming challenges ensuring microbiological products. evaluation emphasizes significance industry promptly responding evolving offering current information hazards future consumption patterns. To ensure continuous sustainable address possible threats.
Язык: Английский
Процитировано
11
The Science of The Total Environment, Год журнала: 2024, Номер 955, С. 176872 - 176872
Опубликована: Окт. 14, 2024
Язык: Английский
Процитировано
11
Computers and Electronics in Agriculture, Год журнала: 2024, Номер 224, С. 109191 - 109191
Опубликована: Июнь 22, 2024
Язык: Английский
Процитировано
10