An ontology model to represent aquaponics 4.0 system’s knowledge

Abbasi, Rabiya; Martı́nez, Pablo; Ahmad, Rafiq

doi:10.1016/j.inpa.2021.12.001

Cited by 27 publications

(25 citation statements)

References 59 publications

(57 reference statements)

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“…Custom is the direct representation of culture. According to the components of Chinese and Korean culture, the ontology model of Chinese and Korean culture is constructed [22], and its conceptual model is shown in Figure 2.…”

Section: Methodsmentioning

confidence: 99%

Cultural Cognition and Analytical Methods of Chinese and Korean Envoys in Ming Dynasty Based on Big Data Analysis Technology

Wang

Tang

2022

Advances in Multimedia

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During the Ming Dynasty, China and Korea exchanged frequently and recorded a large amount of written information, which is of great value for understanding the culture of that time. The large amount of data makes it difficult to conduct quantitative analysis by researchers, which makes the analysis limited. This paper carries out a research on the cognition and analysis method of Chinese and Korean envoys to foreign cultures in Ming Dynasty based on big data analysis technology. Based on the literature research, this paper determines the ontology model establishment method to efficiently detect the written records of Chinese and Korean envoys in Ming Dynasty. The established ontology model and the improved clustering analysis method can improve the efficiency of data detection, reduce the error of data detection, and provide data basis for the research of this paper. According to the technology of big data analysis, this paper analyzes the focus and status class of Chinese and Korean envoys in Ming Dynasty and analyzes cognition of the Chinese and Korean envoys for the foreign culture. The results show that the envoys of the Chinese and Korean pay different attention to the foreign culture due to their different cognition of the foreign culture, compared with Ming Dynasty envoys, Korean envoys paid 15.3 percent less attention to geography, 19.7 percent more to history, 11.7 percent more to people, and 16 percent less to customs. This reflects the two envoys’ different perceptions of the foreign culture. And the status class of the envoys exacerbates this difference. In the early Ming Dynasty, the creative diversity of Ming envoys was far lower than that of Korean envoys. As time went by, the creative diversity of Ming envoys increased. The results provide support for further understanding of Chinese and Korean culture and their relationship in Ming Dynasty.

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Section: Methodsmentioning

confidence: 99%

Cultural Cognition and Analytical Methods of Chinese and Korean Envoys in Ming Dynasty Based on Big Data Analysis Technology

Wang

Tang

2022

Advances in Multimedia

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“…One the other hand, emerging green technologies, such as supercritical fluids, cold plasma, pulsed electric field, ultrasound, and high pressure processing have been studied and suggested as alternatives to conventional extraction methods. These techniques have a high potential to improve or maintain sensory and nutritional properties of foods, thus increasing their positive perception by consumers ( 25 , 125 , 158 ).…”

Section: Consumer Acceptance Of Emerging Food Trendsmentioning

confidence: 99%

“…Food wastes is one of the major challenges for the global food system as approximately one-third of food produced in the world for human consumption is either lost or wasted each year. Valorization of food by-products and ugly produce (e.g., food products with an abnormal appearance) using smart solutions and technologies can constitute a promising strategy to tackle this challenge ( 25 – 27 ).…”

Section: Introductionmentioning

confidence: 99%

Consumer acceptance of new food trends resulting from the fourth industrial revolution technologies: A narrative review of literature and future perspectives

Hassoun¹,

Cropotova

Trif

et al. 2022

Front. Nutr.

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The growing consumer awareness of climate change and the resulting food sustainability issues have led to an increasing adoption of several emerging food trends. Some of these trends have been strengthened by the emergence of the fourth industrial revolution (or Industry 4.0), and its innovations and technologies that have fundamentally reshaped and transformed current strategies and prospects for food production and consumption patterns. In this review a general overview of the industrial revolutions through a food perspective will be provided. Then, the current knowledge base regarding consumer acceptance of eight traditional animal-proteins alternatives (e.g., plant-based foods and insects) and more recent trends (e.g., cell-cultured meat and 3D-printed foods) will be updated. A special focus will be given to the impact of digital technologies and other food Industry 4.0 innovations on the shift toward greener, healthier, and more sustainable diets. Emerging food trends have promising potential to promote nutritious and sustainable alternatives to animal-based products. This literature narrative review showed that plant-based foods are the largest portion of alternative proteins but intensive research is being done with other sources (notably the insects and cell-cultured animal products). Recent technological advances are likely to have significant roles in enhancing sensory and nutritional properties, improving consumer perception of these emerging foods. Thus, consumer acceptance and consumption of new foods are predicted to continue growing, although more effort should be made to make these food products more convenient, nutritious, and affordable, and to market them to consumers positively emphasizing their safety and benefits.

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“…The objective of all the control systems in any aquaponic setup should aim to correct the parameter values in the minimum amount of time in order to reduce its negative effects on the plants’ growth. Depending on the parameter selected, differences in time response can be critical to maintain a healthy environment [ 44 , 45 ]. The presented example is, in no fashion, an accurate representation of an optimized solution to control the humidity in the aquaponic environment.…”

Section: Resultsmentioning

confidence: 99%

Digital Twinning of Hydroponic Grow Beds in Intelligent Aquaponic Systems

Yanes

Abbasi

Martı́nez

2022

Sensors

Self Cite

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The use of automation, Internet-of-Things (IoT), and smart technologies is being rapidly introduced into the development of agriculture. Technologies such as sensing, remote monitoring, and predictive tools have been used with the purpose of enhancing agriculture processes, aquaponics among them, and improving the quality of the products. Digital twinning enables the testing and implementing of improvements in the physical component through the implementation of computational tools in a ‘twin’ virtual environment. This paper presents a framework for the development of a digital twin for an aquaponic system. This framework is validated by developing a digital twin for the grow beds of an aquaponics system for real-time monitoring parameters, namely pH, electroconductivity, water temperature, relative humidity, air temperature, and light intensity, and supports the use of artificial intelligent techniques to, for example, predict the growth rate and fresh weight of the growing crops. The digital twin presented is based on IoT technology, databases, a centralized control of the system, and a virtual interface that allows users to have feedback control of the system while visualizing the state of the aquaponic system in real time.

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An ontology model to represent aquaponics 4.0 system’s knowledge

Cited by 27 publications

References 59 publications

Cultural Cognition and Analytical Methods of Chinese and Korean Envoys in Ming Dynasty Based on Big Data Analysis Technology

Cultural Cognition and Analytical Methods of Chinese and Korean Envoys in Ming Dynasty Based on Big Data Analysis Technology

Consumer acceptance of new food trends resulting from the fourth industrial revolution technologies: A narrative review of literature and future perspectives

Digital Twinning of Hydroponic Grow Beds in Intelligent Aquaponic Systems

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