A Dynamic Data Driven Application System to Manage Urban Agricultural Ecosystems in Smart Cities

Ghandar, Adam; Theodoropoulos, Georgios; Zheng, Bin; Chen, Shijie; Gong, Yue; Zhong, Miner

doi:10.1109/uv.2018.8642114

Cited by 9 publications

(7 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…, 2021). According to Ghandar et al. (2018), urban agriculture and vertical farming can feed cities.…”

Section: Discussionmentioning

confidence: 99%

“…The use of technology can shift the focus to new solutions and innovations for agriculture, increasing the chances of achieving nutrition goals (Barth et al, 2021). According to Ghandar et al (2018), urban agriculture and vertical farming can feed cities. Therefore, considering food a primary good (Hart et al, 2002), every city can be considered a market, and every citizen can be regarded as a potential customer.…”

Section: Transaction Structurementioning

confidence: 99%

“…Technologies represent a driver to implement this new type of urban agri-food cultivation in the context of smart cities (Bresciani et al, 2018;Ferraris et al, 2018). The food culture that develops within smart cities represents an opportunity to improve food security, foster local economies, social and environmental sustainability (Appolloni et al, 2020;Ghandar et al, 2018). Among the assets available, the technological element cannot be ignored.…”

Section: Resource Structurementioning

confidence: 99%

See 2 more Smart Citations

Using bibliometric analysis to map innovative business models for vertical farm entrepreneurs

Biancone

Brescia

Lanzalonga

et al. 2022

BFJ

View full text Add to dashboard Cite

PurposeThis paper aims to explore the literature on vertical farming to define key elements to outline a business model for entrepreneurs. The research aims to stimulate entrepreneurship for vertical farming in a smart cities' context, recognising urban agriculture as technology to satisfy increasing food needs.Design/methodology/approachThe research conducts a structured literature review on 186 articles on vertical farming extracted from the Scopus. Moreover, the bibliometric analysis revealed the descriptive statistics on this field and the main themes through the authors' keywords.FindingsDifferent perspectives showed the multidisciplinary nature of the topic and how the intersection of different skills is necessary to understand the subject entirely. The keywords analysis allowed for identifying the topics covered by the authors and the business model's elements.Research limitations/implicationsThe research explores a topic in the embryonic stage to define key strands of literature. It provides business model insights extending George and Bock's (2011) research to stimulate entrepreneurship in vertical farming. Limitations arise from the sources used to develop our analysis and how the topic appears as a frontier innovation.Originality/valueOriginality is the integration of literature strands related to vertical farming, highlighting its multidisciplinary nature to provide a holistic understanding of the themes. In smart cities' context, innovations allow traditional business models to be interpreted in a novel perspective and revealed the elements for transforming vertical farming from innovative technology to an effective source of food sustenance. Finally, the paper suggests a new methodology application for the analysis of word clusters by integrating correspondence analysis and multidimensional scaling analysis.

show abstract

“…, 2021). According to Ghandar et al. (2018), urban agriculture and vertical farming can feed cities.…”

Section: Discussionmentioning

confidence: 99%

Section: Transaction Structurementioning

confidence: 99%

Section: Resource Structurementioning

confidence: 99%

See 1 more Smart Citation

Using bibliometric analysis to map innovative business models for vertical farm entrepreneurs

Biancone

Brescia

Lanzalonga

et al. 2022

BFJ

View full text Add to dashboard Cite

show abstract

“…The main premise of the proposed decision support system is that using a networked infrastructure, such as promoted in ''smart cities'', and decision analytics and online simulation, it will be possible for diverse independent urban farming installations scattered throughout an urban area to work in a coordinated way so that production from urban farming could be scaled up to compete with the volume and consistency of traditional agribusiness [3]. While maintaining, and optimizing, the social and environmental benefits inherent to urban agriculture [2], [4].…”

Section: Introductionmentioning

confidence: 99%

“…The majority of applications of the digital twin concept are in manufacturing. Earlier versions of some of this work was introduced in earlier conference publications, see [4], [24] and [25], with the latter receiving the Best Paper Award in AsiaSim 2019. 2 The contributions of this article are summarized as follows:…”

Section: Introductionmentioning

confidence: 99%

A Decision Support System for Urban Agriculture Using Digital Twin: A Case Study With Aquaponics

et al. 2021

Self Cite

View full text Add to dashboard Cite

There are many pressures on the global food system such as urbanization, climate change, and environmental degradation. Urban agriculture is an approach to producing food inside cities where, globally, more than half the worlds population live. It has been shown to have a range of potential benefits, for instance in reducing waste and logistics costs. Increased uptake of urban farming can even relieve pressure on the natural environment by reducing the burden of production required from farmland by creating space for it to recover from accumulated damage as a result of the use of unsustainable farming practices historically. This article describes an approach for a new type of decision support system suitable for urban farming production. We discuss differences between the requirements and the users of decision support in urban agriculture, and those of ordinary agribusiness enterprises. A case study is performed using a novel technology for urban farming: a cyber-physical implementation of aquaponics is enhanced with adaptive capabilities using a digital twin system and machine learning. Aquaponics is a farming technique that utilizes a harmonious nutrient exchange cycle for growing plants and fish together, while conserving water, and possibly without the need for soil or even sunlight. Empirical results are provided that evaluate the use of data driven decision analytics and a digital twin model to plan production from the aquaponic system during a three month trial. Another set of results evaluate a proposed modelling framework for large scale urban agriculture ecosystems. This concept forms the basis of the suggested approach for an urban farming decision support system that coordinates the activities of many independent producers to target collective goals.INDEX TERMS Decision support, urban agriculture, modelling, simulation, digital twin, Internet of Things, metaheuristics.

show abstract

Digital Twin Technology for Aquaponics: Towards Optimizing Food Production with Dynamic Data Driven Application Systems

Ahmed

Zulfiqar

Ghandar

et al. 2019

Communications in Computer and Information Science

View full text Add to dashboard Cite

A Dynamic Data Driven Application System to Manage Urban Agricultural Ecosystems in Smart Cities

Cited by 9 publications

References 23 publications

Using bibliometric analysis to map innovative business models for vertical farm entrepreneurs

Using bibliometric analysis to map innovative business models for vertical farm entrepreneurs

A Decision Support System for Urban Agriculture Using Digital Twin: A Case Study With Aquaponics

Digital Twin Technology for Aquaponics: Towards Optimizing Food Production with Dynamic Data Driven Application Systems

Contact Info

Product

Resources

About