Real-Time Tracking and Remote Monitoring in Food Traceability

Badia-Melis, Ricardo; Ruiz-García, Luis

doi:10.1016/b978-0-08-100310-7.00011-9

Cited by 10 publications

(10 citation statements)

References 33 publications

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“…Other implementations of IoT, such as Near Field Communication (NFC) tags, can provide solid and reliable food traceability, for example [41] which proposes a system to improve and optimize food traceability based on a real-time tracking and remote monitoring of the food package. The NFC tags enable to identify a given food but it requires a NFC reader attached to the pc or another device.…”

Section: Iotmentioning

confidence: 99%

Monitoring Food Intake in an Aging Population: A Survey on Technological Solutions

et al. 2018

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The aging of the population has increased the research efforts focused on eldercare. In this area, nutrition is a topic of particular interest. A significant number of problems related with aging have their origin in a deficient nutrition. Many elders suffer changes in their nutritional patterns and these changes can cause serious deterioration of their physical condition. Therefore, to be able to address nutritional problems in the elderly, their nutritional patterns must be recorded and analyzed in an easy and efficient way. From a technological point of view, numerous works focus on monitoring the food intake, not only of elders but also of the general population. However, these works usually do not take into account the problems associated with an aging population. In this paper we present a survey of existing technological solutions for monitoring food intake. The analyzed solution are categorized based on their technological implementation and their adaptation to the needs of an aging population.

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Section: Iotmentioning

confidence: 99%

Monitoring Food Intake in an Aging Population: A Survey on Technological Solutions

et al. 2018

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“…The system, developed as a sensor-based tool, has been tested during several land transportation trips around Europe.Storage or in-transit temperature is the most important environmental factor affecting perishable food quality [6]. Therefore, the actors involved in the supply chain must deliver the commodities preserving the cold chain to avoid inappropriate food loses and waste, while preserving quality and safety [7]. By controlling this parameter, a longer shelf life for perishable food products will be ensured, but it represents a difficult puzzle to solve due to the many factors involved [7].…”

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confidence: 99%

“…Therefore, the actors involved in the supply chain must deliver the commodities preserving the cold chain to avoid inappropriate food loses and waste, while preserving quality and safety [7]. By controlling this parameter, a longer shelf life for perishable food products will be ensured, but it represents a difficult puzzle to solve due to the many factors involved [7]. In this work, lettuce has been selected as a model for the study of a quality loss estimation model depending on the storage temperature.…”

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confidence: 99%

“…Recently LoRa ® devices have been introduced into smart refrigeration solutions to track food temperature in the supply cold chain [24]. However, to optimize the destination or use of perishable foods in the event of changes in the thermal conditions of transport, it is necessary to implement a real-time tracking and monitoring system [7]. Some RFID, i-Button or Zigbee-based sensors require special equipment to read the data measured, which makes it more complicated to implement a real-time tracking and monitoring system [19].Although the thermal conditions of the products being transported can vary depending on many issues such as the type of product, its packaging or the load density, among others, installing a measuring device on each box or pallet to measure the temperature is not realistic nor practical [19].…”

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confidence: 99%

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confidence: 99%

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Real-Time Monitoring System for Shelf Life Estimation of Fruit and Vegetables

Torres-Sánchez

Martínez-Zafra

Castillejo

et al. 2020

Sensors

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The control of the main environmental factors that influence the quality of perishable products is one of the main challenges of the food industry. Temperature is the main factor affecting quality, but other factors like relative humidity and gas concentrations (mainly C2H4, O2 and CO2) also play an important role in maintaining the postharvest quality of horticultural products. For this reason, monitoring such environmental factors is a key procedure to assure quality throughout shelf life and evaluate losses. Therefore, in order to estimate the quality losses that a perishable product can suffer during storage and transportation, a real-time monitoring system has been developed. This system can be used in all post-harvest steps thanks to its Wi-Fi wireless communication architecture. Several laboratory trials were conducted, using lettuce as a model, to determine quality-rating scales during shelf life under different storage temperature conditions. As a result, a multiple non-linear regression (MNLR) model is proposed relating the temperature and the maximum shelf life. This proposed model would allow to predict the days the commodities will reduce their theoretical shelf-life when an improper temperature during storage or in-transit occurs. The system, developed as a sensor-based tool, has been tested during several land transportation trips around Europe.

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