Food Control, Journal Year: 2025, Volume and Issue: unknown, P. 111378 - 111378
Published: April 1, 2025
Language: Английский
Journal of Computing Theories and Applications, Journal Year: 2024, Volume and Issue: 1(3), P. 273 - 283
Published: Feb. 9, 2024
Burglary involves forced or unauthorized entry, which leads to damage loss of property having monetary emotional value and, more severely, puts lives at risk. The dire need for the safety and properties has attracted so much research on burglary alert system using Internet Things (IoT) technology. Most focused alerting users attempts any a combination two notification methods: SMS, call, email. This study emphasizes three-mode that combines email application IoT technology in system, uses Passive Infrared (PIR) sensor burglar detection ensure Homeowners authorized personnel get alerts events imminent attempt break-ins. also details integration with its supporting components, such as central hub microcontroller, buzzer, LED, network interface development system. software was developed facilitate seamless hardware, ensuring timely accurate event subsequent generation Arduino IDE programming language, framework based C++ language. effected 3-mode case an break-in since failure three modes simultaneously is extremely rare. system’s performance responsiveness notifications evaluated, average 83.56% obtained, indicating acceptable response time.
Language: Английский
Citations
6
Environment Development and Sustainability, Journal Year: 2023, Volume and Issue: 26(8), P. 19131 - 19175
Published: June 14, 2023
Language: Английский
Citations
12
Foods, Journal Year: 2023, Volume and Issue: 12(17), P. 3235 - 3235
Published: Aug. 28, 2023
The structure of the grain-and-oil-food-supply chain has characteristics complexity, cross-regionality, a long cycle, and numerous participants, making it difficult to maintain safety supply. In recent years, some phenomena have emerged in field grain procurement sale, such as topping new with old, rotating grains, pressure grades prices, counterfeit oil food, which seriously threatened grain-and-oil-food security. Blockchain technology advantage decentralization non-tampering Therefore, this study analyzes traceability data chain, presents blockchain-based model for chain. Firstly, method combining blockchain machine learning is proposed enhance authenticity reliability source by constructing anomalous data-processing models. addition, lightweight blockchain-storage data-recovery mechanism are reduce on supply-chain-data storage improve fault tolerance. results indicate that average query delay public 0.42 s, private 0.88 1.2 s. Finally, grain-and-oil-food-supply-chain system designed built using Hyperledger Fabric. Compared existing constructed achieves multi-source heterogeneous uploading, storage, recovery, supply great significance ensuring grain-and-oil food China.
Language: Английский
Citations
11
Food Control, Journal Year: 2024, Volume and Issue: 164, P. 110548 - 110548
Published: April 26, 2024
Food assurance systems (FAS) that are critical for protecting the quality and safety of food products can be defined as a systematic approach to ensuring safety, quality, authenticity products, from initial production stage final consumption by consumer. An Intelligent Assurance System (IFAS) is proposed system would have ability use intelligent sensors, data processing other advanced technologies detect control food. This review provides an overview current state-of-the-art in systems, with focus on four components assurance: authenticity, defence. scientific literature was conducted order clarify their definitions connections. synopsis fundamental concepts FAS, followed comprehensive recent advancements smart technology, such precision agriculture remote sensors management required IFAS. A analysis challenges when building IFAS, potential future directions also discussed. Furthermore, possible influence IFAS enhancing transparency traceability chain, reducing loss waste sustainable development, improving consumer confidence highlighted.
Language: Английский
Citations
4
Foods, Journal Year: 2025, Volume and Issue: 14(2), P. 247 - 247
Published: Jan. 14, 2025
This review explores the application of convolutional neural networks (CNNs) and recurrent (RNNs) in food safety detection risk prediction. paper highlights advantages CNNs image processing feature recognition, as well powerful capabilities RNNs (especially their variant LSTM) time series data modeling. also makes a comparative analysis many aspects: Firstly, disadvantages traditional prediction methods are compared with deep learning technologies such RNNs. Secondly, similarities differences between fully connected analyzed. Furthermore, statistical modeling discussed. Finally, directions compared. discusses combining these models Internet Things (IoT), blockchain, federated to improve accuracy efficiency warning. this mentions limitations field safety, challenges interpretability model, suggests use interpretable artificial intelligence (XAI) technology transparency model.
Language: Английский
Citations
0
Industrial Marketing Management, Journal Year: 2025, Volume and Issue: 125, P. 254 - 271
Published: Jan. 19, 2025
Language: Английский
Citations
0
International Journal on Smart Sensing and Intelligent Systems, Journal Year: 2025, Volume and Issue: 18(1)
Published: Jan. 1, 2025
Abstract With the rapid technological advancement, convergence of Internet Things (IoT), blockchain, and machine learning (ML) has a significant revolution across industries, driving them in areas like Industry 4.0, smart cities, advanced transportation systems. This study presents comprehensive review integration IoT, ML technologies, highlighting their transformative impact on diverse industries. It addresses challenges scalability, security, data management posed by growth interconnected IoT devices, proposing solutions through algorithms blockchain for security immutability. By examining real-world applications reviewing existing literature, this underscores potential benefits complexities merging these while also identifying research future directions. Overall, it offers insights into innovative constructive collaboration ML, which become most important modern advances.
Language: Английский
Citations
0
Food engineering series, Journal Year: 2025, Volume and Issue: unknown, P. 35 - 65
Published: Jan. 1, 2025
Language: Английский
Citations
0
Metrics, Journal Year: 2025, Volume and Issue: 2(1), P. 3 - 3
Published: Feb. 5, 2025
The agri-food sector is expanding, driven by growing global demand. At the same time, it faces challenge of increasing its efficiency and adopting sustainable practices. This study aimed to map scientific production in this field, identifying trends, emerging themes, critical gaps, future directions for research. A bibliometric analysis was conducted with 5141 papers published between 1977 2024, extracted from Scopus Web Science databases. We applied keyword co-occurrence analysis, thematic evolution, three-field graphs using metrics betweenness centrality, closeness PageRank. results revealed a significant growth publications sector, especially after 2012, emphasizing high centrality relevance themes such as sustainability, agri-food, agriculture. Topics bioactive compounds, blockchain, traceability were identified areas interest, circular economy stood out an topic. Italy, Spain, France lead international collaboration. most prominent journals Sustainability, Journal Cleaner Production, Agriculture Human Values. Research focusing on economy, compounds. International collaborations high-impact are pillars advances sector.
Language: Английский
Citations
0
Journal of Stored Products Research, Journal Year: 2025, Volume and Issue: 111, P. 102588 - 102588
Published: Feb. 16, 2025
Citations
0