Life, Journal Year: 2024, Volume and Issue: 14(11), P. 1490 - 1490
Published: Nov. 15, 2024
In predictive microbiology, both primary and secondary models are widely used to estimate microbial growth, often applied through two-step or one-step modelling approaches. This study focused on developing a tool predict the growth of
Language: Английский
Food Research International, Journal Year: 2024, Volume and Issue: 191, P. 114673 - 114673
Published: June 28, 2024
Language: Английский
Citations
5
Mathematics, Journal Year: 2024, Volume and Issue: 12(7), P. 1054 - 1054
Published: March 31, 2024
In the dynamic environment of fresh food supermarkets, managing short shelf life and varying quality vegetable products presents significant challenges. This study focuses on optimizing restocking pricing strategies to maximize profits while accommodating diverse time-sensitive nature sales. We analyze historical sales, data, loss rates six categories in Supermarket A from 1 July 2020 30 June 2023. Using advanced data analysis techniques like K-means++ clustering, non-normal distribution assessments, Spearman correlation coefficients, heat maps, we uncover correlations between their sales patterns. The research further explores implications cost-plus pricing, revealing a notable relationship volumes. By employing Autoregressive Integrated Moving Average (ARIMA) Long Short-Term Memory (LSTM) models, forecast determine optimal Additionally, use price elasticity theories comprehensive model predict net profit changes, aiming enhance margins by 47%. also addresses space constraints supermarkets proposing an effective assortment salable items individual product plans, based FP-Growth algorithm market demand. Our findings offer insightful for sustainable economic growth supermarket industry, demonstrating impact data-driven decision-making operational efficiency profitability.
Language: Английский
Citations
4
Food and Bioprocess Technology, Journal Year: 2024, Volume and Issue: unknown
Published: July 20, 2024
Language: Английский
Citations
4
Advances in computational intelligence and robotics book series, Journal Year: 2024, Volume and Issue: unknown, P. 249 - 282
Published: Nov. 29, 2024
Automated technology has transformed agriculture by improving processes from tillage to supply chain management. This chapter provides an in-depth exploration of automated decision-making (ADM) applications within the agricultural sector, including tillage, planting, irrigation, crop selection, fertilization, pest management, harvesting, storage, and It begins discussing concepts how they enhance efficiency, productivity, sustainability in farming practices. Real-world examples case studies demonstrate successful ADM implementations, showing it is applied its results. also discusses challenges future directions adopting agriculture, such as scalability, data privacy, regulatory frameworks, insights for stakeholders. The aims assist farmers, agronomists, policymakers, industry professionals utilizing innovation, enhancing processes, tackling global food security modern agriculture.
Language: Английский
Citations
4
International Journal of Remote Sensing, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 34
Published: Jan. 16, 2025
Cultivation of medicinal plants (CMPs) plays a crucial role in sustaining the production resources (MPs). In light depletion wild plant (MPRs), CMPs have become primary source for meeting market demand. However, traditional methods are often limited, subjective, and time-sensitive. recent years, remote sensing (RS) has emerged as an important tool obtaining information on MPs, addressing many limitations inherent conventional techniques. This paper first highlights challenges faced provides comprehensive review main applications RS field. Subsequently, it summarizes existing analysing data, organizing findings previous studies according to types tasks methodologies employed. Approaches data analysis that could be applied Traditional Chinese Medicine (TCM) planning generalized compared. Finally, discusses potential difficulties cultivation process outlines future prospects technologies. latest research application can serve valuable resource both researchers practitioners. Additionally, offers curated selection those interested leveraging technologies precision agriculture plants.
Language: Английский
Citations
0
International Journal of Scientific Research in Science and Technology, Journal Year: 2025, Volume and Issue: 12(1), P. 183 - 205
Published: Jan. 26, 2025
The rapid advancements in artificial intelligence (AI) and automation are transforming post-harvest technologies, offering innovative solutions to improve food quality, safety, supply chain efficiency. This paper reviews the role of AI-driven innovations processing logistics, with a focus on automation, predictive analytics, quality control. AI such as machine learning, computer vision, IoT integration, optimizing processes like sorting, grading, packaging, microbial detection, reducing waste extending shelf life. Moreover, AI-powered robotics smart warehouses streamlining transportation inventory management, enhancing operational integration demand forecasting optimization is further improving traceability, minimizing disruptions, environmental impact. Despite promising potential, challenges data system cost barriers, regulatory concerns remain. future technologies presents opportunities for continued innovation, deep IoT, global scalability, pathways sustainable systems. concludes by discussing impact sector its potential drive more efficient, resilient, chains worldwide.
Language: Английский
Citations
0
Food Chemistry, Journal Year: 2025, Volume and Issue: 477, P. 143391 - 143391
Published: Feb. 12, 2025
Language: Английский
Citations
0
Foods, Journal Year: 2025, Volume and Issue: 14(6), P. 922 - 922
Published: March 8, 2025
Integrating advanced computing techniques into food safety management has attracted significant attention recently. Machine learning (ML) algorithms offer innovative solutions for Hazard Analysis Critical Control Point (HACCP) monitoring by providing data analysis capabilities and have proven to be powerful tools assessing the of Animal-Source Foods (ASFs). Studies that link ML with HACCP in ASFs are limited. The present review provides an overview ML, feature extraction, selection employed safety. Several non-destructive presented, including spectroscopic methods, smartphone-based sensors, paper chromogenic arrays, machine vision, hyperspectral imaging combined algorithms. Prospects include enhancing predictive models development hybrid Artificial Intelligence (AI) automation quality control processes using AI-driven computer which could revolutionize inspections. However, handling conceivable inclinations AI is vital guaranteeing reasonable exact hazard assessments assortment nourishment generation settings. Moreover, moving forward, interpretability will make them more straightforward dependable. Conclusively, applying allows real-time analytics can significantly reduce risks associated ASF consumption.
Language: Английский
Citations
0
Smart Agricultural Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100897 - 100897
Published: March 1, 2025
Language: Английский
Citations
0
Food Engineering Reviews, Journal Year: 2025, Volume and Issue: unknown
Published: March 26, 2025
Language: Английский
Citations
0