Optimized Dynamic Monitoring and Quality Management System for Post-Harvest Matsutake of Different Preservation Packaging in Cold Chain

Yang, Zihan; Xu, Jinchao; Lin, Yang; Zhang, Xiaoshuan

doi:10.3390/foods11172646

Cited by 40 publications

(11 citation statements)

References 26 publications

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“…For instance, the higher oxygen level of food packaging materials might lead to aerobic bacteria growth, oxidation and chemical reactions of lipids and vitamins. In addition to food preservation, the material must be cost-effective, lightweight, biodegradable and eco-friendly [1][2][3]. To meet these requirements, three food packaging systems, including intelligent or smart (IOSP), active (AP) and sustainable or green (SOGP) packaging, have been developed [18,19].…”

Section: Basic Requirements Of Food Packagingmentioning

confidence: 99%

“…Therefore, significant attention has been given to developing more effective and cost-effective food packaging materials. Generally, conventional food packaging is passive and primarily developed as the mechanical support and barrier against external influences, such as moisture, dust, oxygen, microorganisms, odours and mechanical forces [2][3][4]. Preventing oxidation and pathogen contamination of packed food, preserving flavour and masking odours and maintaining optimum moisture levels are the main challenges in food packaging industries [5,6].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Electrospinning in Food Packaging: Current Trend and Future Direction

Al‐Attabi,

Ahmed,

Merza

et al. 2024

Packag Technol Sci

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Food packaging is a multidisciplinary field that includes food science, chemistry, engineering materials sciences and microbiology. Food packaging has sparked great interest in protecting the freshness and quality of foods and their raw materials from oxidation and microbial spoilage. Nanotechnology, especially electrospinning, has shown promising results in fabricating sophisticated food packaging materials. The current paper aims to review, highlight, discuss and challenge the latest electrospun food packaging studies. We will not only summarize the studies but also challenge the applied methods, materials and results. Moreover, we offer a more practical point of view regarding the industrial translation of electrospun food packaging.

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Section: Basic Requirements Of Food Packagingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Electrospinning in Food Packaging: Current Trend and Future Direction

Al‐Attabi,

Ahmed,

Merza

et al. 2024

Packag Technol Sci

View full text Add to dashboard Cite

show abstract

“…Yang et al 23 conducted an analysis of the logistics process of Matsutake and proposed optimizations for the dynamic monitoring and quality management systems specifically designed for post-harvest Matsutake in the cold chain. Their system involved real-time monitoring of micro-environmental parameters within the cold chain and utilized this data to identify the most effective preservation method.…”

Section: Literature Reviewmentioning

confidence: 99%

A fuzzy mathematical model for hybrid inventory and purchase optimization in a reverse logistics system considering shortage and warehouse capacity

Tang,

Thelkar

2023

Science Progress

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Making decisions about the design and implementation of a logistics network is crucial as it has long-term impacts. However, it is important to consider that demand factors and the number of returned items by customers may change over time. Therefore, it is necessary to design a logistics network that can adapt to various demand fluctuations. The main goal of this study is to calculate the quantity of products that should be sent at different times in a supply chain network to minimize the overall cost of reverse logistics and tardiness time. Accordingly, a multi-objective mathematical model is proposed that aims to optimize the total cost and the amount of delay in sending customer orders in a three-level logistics network, assuming that some parameters are uncertain. Additionally, the minimization of waiting time, considering the level of delay in sending, is applied as the second objective function. To handle the uncertainty in the reverse logistics network, a fuzzy approach is implemented, and the proposed model is solved using GAMS software. Furthermore, to solve the mathematical model in large dimensions, the Cuckoo Optimization Algorithm (COA) is applied in MATLAB software, and the results are compared to the global optimal solution. The outcomes show that the proposed algorithm has a desirable performance, as the total values sent to the manufacturer are equal to those obtained from the exact solution, and the objective function value decreases as the number of repetitions increases.

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“…Later, pustules form and turn yellow-green and eventually black. Severe infestations can cause foliage to chlorosis, deform, and eventually fall off (Jain et al, 2019;Bhatti et al, 2021;Lu et al, 2023;Yang et al, 2022;. The spread of this disease will seriously affect agricultural production and cause huge losses.…”

Section: Introductionmentioning

confidence: 99%

Deep reinforcement learning enables adaptive-image augmentation for automated optical inspection of plant rust

et al. 2023

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This study proposes an adaptive image augmentation scheme using deep reinforcement learning (DRL) to improve the performance of a deep learning-based automated optical inspection system. The study addresses the challenge of inconsistency in the performance of single image augmentation methods. It introduces a DRL algorithm, DQN, to select the most suitable augmentation method for each image. The proposed approach extracts geometric and pixel indicators to form states, and uses DeepLab-v3+ model to verify the augmented images and generate rewards. Image augmentation methods are treated as actions, and the DQN algorithm selects the best methods based on the images and segmentation model. The study demonstrates that the proposed framework outperforms any single image augmentation method and achieves better segmentation performance than other semantic segmentation models. The framework has practical implications for developing more accurate and robust automated optical inspection systems, critical for ensuring product quality in various industries. Future research can explore the generalizability and scalability of the proposed framework to other domains and applications. The code for this application is uploaded at https://github.com/lynnkobe/Adaptive-Image-Augmentation.git.

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Optimized Dynamic Monitoring and Quality Management System for Post-Harvest Matsutake of Different Preservation Packaging in Cold Chain

Cited by 40 publications

References 26 publications

Electrospinning in Food Packaging: Current Trend and Future Direction

Electrospinning in Food Packaging: Current Trend and Future Direction

A fuzzy mathematical model for hybrid inventory and purchase optimization in a reverse logistics system considering shortage and warehouse capacity

Deep reinforcement learning enables adaptive-image augmentation for automated optical inspection of plant rust

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