An IoT-based beer fermentation monitoring system

Buonocore, Daniele; Ciavolino, Giuseppe; Di, Domenico; Liguori, Consolatina

doi:10.1109/metroagrifor52389.2021.9628536

Cited by 4 publications

(3 citation statements)

References 15 publications

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“…All these keywords aid in effective process control during the fermentation process. According to Buonocore et al (2021), IoT is implemented in monitoring the beer fermentation process. Effective control of the process was achieved through online remote monitoring.…”

Section: Resultsmentioning

confidence: 99%

“…More machine learning algorithms should be implemented to compare their predictive accuracies to the neural network algorithm implemented in the study. Buonocore et al (2021) proposed an online beer fermentation monitoring system. The process is monitored using the MQTT protocol and an ESP8266 Wi-Fi network module.…”

Section: Survey Of Iot Architecture and Iot Application In Food Ferme...mentioning

confidence: 99%

“…Buonocore et al (2021) proposed an online beer fermentation monitoring system. The process is monitored using the MQTT protocol and an ESP8266 Wi‐Fi network module.…”

Section: Survey Of Iot Architecture and Iot Application In Food Ferme...mentioning

confidence: 99%

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Internet of Things (IoT) in the food fermentation process: A bibliometric review

Adeleke

Nwulu

Adebo

2023

J Food Process Engineering

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This study investigated available literature on leveraging the Internet of Things (IoT) to optimize the food fermentation process. Utilizing a subjective examination strategy through bibliometric investigation, this paper assessed 44 articles between 2013 and 2022. The bibliometric study focused on publications per author, publications per country, and a research center based on co-occurrence keywords, and research patterns. While available publications in this domain show IoT can be used to optimize the fermentation process, uptake has been slow and has been in an infant stage in the past 8 years. The scholarly articles, using the co-occurrence of keywords, showed five (5) clusters, which are (i) implementing IoT in forecasting the fermentation process to achieve effective quality control, (ii) remotely monitoring and automating the production process to achieve effective process control, (iii) monitoring temperature in real-time during the fermentation process, (iv) digitally storing parameters during the fermentation process using WLAN, and (v) applying middleware in the processing properties of agricultural produce. These cluster areas revealed how IoT can be used to optimize the food fermentation process. Given the growth and interest in IoT technologies in the food fermentation process, this study explored available literature to highlight available IoT technologies in developing strategies for the food fermentation process and predictive analysis of fermented food products. Practical applicationsUsing IoT technologies, manufacturers may optimize their regulatory procedures and product quality by monitoring food fermentation process parameters such as temperature, carbon dioxide, humidity, viscosity, and so on in real-time. Food manufacturers may also obtain and use these real-time data for food safety. Some cutting-edge smart sensors and cloud-based predictive analytics systems can equally predict stages of the fermentation process and possibly detect challenges along the process.

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Section: Resultsmentioning

confidence: 99%

Section: Survey Of Iot Architecture and Iot Application In Food Ferme...mentioning

confidence: 99%

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Internet of Things (IoT) in the food fermentation process: A bibliometric review

Adeleke

Nwulu

Adebo

2023

J Food Process Engineering

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Data-driven innovation and 4th industrial revolution concepts for the development and improvement of fermented foods

Hlangwani¹,

Doorsamy²

2023

Indigenous Fermented Foods for the Tropics

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IoT implemented Osmotic Dehydrator

Mendoza,

Berru,

Chero

2023

Curr Res Nutr Food Sci

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Osmotic dehydration is a dehydration technique that allows the preservation of the organoleptic characteristics of the food and its nutritional properties compared to other preservation methods, such as hot air drying or solar drying. Studies on this dehydration process are usually carried out on a laboratory scale and with the constant presence of the evaluator, interrupting the process for sampling. That is why the main objective of this research was to build an automated osmotic dehydration equipment implementing the Internet of Things (IoT). The measurable factors involved in the process were determined, and the necessary sensors and actuators were chosen along with the best IoT alternative for the process. A prototype was built, which allows for controlling the agitation of the osmotic solution, temperature control, and remote monitoring of concentration and temperature variables. The equipment was tested by evaluating its performance in the dehydration of melon and apple, where the ANOVA tests demonstrated the significance (p < 0.05) of the factors chosen as part of the equipment design and their interaction with the process. In the apple samples, a weight loss of up to 44.007% and a water loss of 53.234% were obtained. For melon, the process showed greater efficiency in dehydration, with values of 75.259% for weight loss and 75.979% for water loss.

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An IoT-based beer fermentation monitoring system

Cited by 4 publications

References 15 publications

Internet of Things (IoT) in the food fermentation process: A bibliometric review

Internet of Things (IoT) in the food fermentation process: A bibliometric review

Data-driven innovation and 4th industrial revolution concepts for the development and improvement of fermented foods

IoT implemented Osmotic Dehydrator

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