Recent Trends in Computer Vision for Cheese Quality Evaluation

Опубликована: Янв. 9, 2024

A review of current trends in CVSs (computer vision systems) regarding hardware and software components, the context cheese quality evaluation, is presented this paper, some directions for future development field are discussed. The application methods computer evaluating indicators different types explored detail systems data gathering algorithms their processing. We discuss opportunities usage advancements AI (artificial intelligence) a fast effective control food production. Modern computer-based concepts viewed such as CAFE (computer-aided engineering) digital twins. Methods further enhancement human life highlighted sustainability related to contemporary technologies.

Язык: Английский

---

The Forgotten Factor: Exploring Consumer Perceptions of Artificial Intelligence in the Food and Agriculture Systems

Future Foods, Год журнала: 2025, Номер unknown, С. 100553 - 100553

Опубликована: Янв. 1, 2025

Язык: Английский

---

Feasibility assessment of recovering waste heat from enclosed cattle barns for forage drying systems

Thermal Science and Engineering Progress, Год журнала: 2025, Номер unknown, С. 103328 - 103328

Опубликована: Янв. 1, 2025

Язык: Английский

---

Machine Learning Tool for Yield Maximization in Cream Cheese Production

Communications in computer and information science, Год журнала: 2025, Номер unknown, С. 97 - 114

Опубликована: Янв. 1, 2025

Язык: Английский

---

Dairy Value Chain for Food and Income Security

Опубликована: Янв. 1, 2025

Язык: Английский

---

From tradition to precision: leveraging digital tools to improve cattle health and welfare

Frontiers in Veterinary Science, Год журнала: 2025, Номер 12

Опубликована: Апрель 2, 2025

Traditional cattle production practices relied heavily on manual observation and empirical decision-making, often leading to inconsistent outcomes. In contrast, modern approaches leverage technology achieve greater precision efficiency. Advancement in has shifted a new dimension of predictive monitoring health management. This review aims at highlighting the available current digital technologies health, evaluate their utility practice, identify possible future advancements field that can potentially bring even more changes this industry. The paper highlights some barriers disadvantages using these technologies, such as data security issues, high capital investments, skills gap. integration advanced is set play fundamental role enabling livestock industry meet rising global demand for high-quality, sustainably produced products. These are essential ensuring compliance with ethical standards best care well-being. light advancements, application innovations will support achievement socially responsible production, while simultaneously maintaining optimal levels animal welfare.

Язык: Английский

---

Exploring IoT integration challenges: Causal relationships and strategic implications for business models

Digital Business, Год журнала: 2025, Номер unknown, С. 100125 - 100125

Опубликована: Апрель 1, 2025

Язык: Английский

---

From Food Industry 4.0 toward Food Industry 5.0: human-centric approach for enhanced sustainability and resilience in the food and agriculture sector

Elsevier eBooks, Год журнала: 2024, Номер unknown, С. 283 - 290

Опубликована: Янв. 1, 2024

Язык: Английский

---

Building resilience in the infant formula milk supply chain

Food Control, Год журнала: 2024, Номер 165, С. 110641 - 110641

Опубликована: Июнь 15, 2024

In recent years, Infant Formula Milk (IFM), a vital source of nutrition for infants lacking breast milk in their first two has been plagued by diverse and severe global supply chain disruptions. These challenges have triggered shortages, compromised product quality, threatened food security, leading to dire health consequences even fatalities among infants. However, despite the criticality IFM, current research is terms how build or improve resilience IFM chains. This paper presents detailed framework building resilient chain. A key pillar this comprehensive analysis potential hazards. Using Hazard Operability Analysis (HAZOP) method, 91 hazards were identified across entire Subsequently, clustering method 17 critical risks with irreversible infant flow. Finally, mitigation strategies that combine traditional approaches 4.0 technology-enabled solutions are proposed. Adapting can provide valuable insights stakeholders, enabling them secure flow life-sustaining safeguard well-being

Язык: Английский

---

The impact of emerging technologies of industry 4.0 on sustainability dimensions

Journal of Engineering Research, Год журнала: 2024, Номер unknown

Опубликована: Авг. 1, 2024

In the Industry 4.0 (I4.0) era, emerging technologies positively affect sustainability both internally within industry and externally at global level. Sustainable productive systems are expected to be with best indicators levels through using in I4.0. This study aims investigate effect of I4.0 on pillars an analysis a case conducted King Saud University about Smart Yogurt Filling System. this system, most critical technologies, such as Internet Things (IoT), 3D printing, Near field communication technology (NFC), Node-RED, were applied. A unique framework for was developed. The demonstrated successful implementation goals challenges encountered during process. According current study, enhance customer satisfaction, reduce time effort, error rates, minimize many other types waste, enabling presentation custom products customers. They also human intervention its minimal necessities, improve ergonomics, connect valuable cyber-physical objects seamless collaboration across value chain.

Язык: Английский

---