Contributions of artificial intelligence for circular economy transition leading toward sustainability: an explorative study in agriculture and food industries of Pakistan.
Saved in:
| Title: | Contributions of artificial intelligence for circular economy transition leading toward sustainability: an explorative study in agriculture and food industries of Pakistan. |
|---|---|
| Authors: | Ali, Zain Anwar1,2 (AUTHOR) zainanwar86@hotmail.com, Zain, Mahreen3 (AUTHOR), Pathan, M. Salman4 (AUTHOR), Mooney, Peter4 (AUTHOR) |
| Source: | Environment, Development & Sustainability. Aug2024, Vol. 26 Issue 8, p19131-19175. 45p. |
| Subject Terms: | *Circular economy, *Sustainability, *Artificial intelligence, *Food industry, *Sustainable development |
| Geographic Terms: | Pakistan |
| Abstract: | Circular economy (CE) regenerates nature by introducing circularity in economic systems. It tackles various global challenges of sustainability, specifically in the agriculture and food sectors. Digital technologies support its implementations; especially, artificial intelligence (AI) is acquiring momentum. In this regard through algorithms, remote sensors, drones etc must be incorporated to achieve the desired target. The current studies provide bounded investigations of AI-driven CE exclusively in Pakistan. The main purpose of this paper is to elaborate on AI support in the implementation of CE practices and to explore the current waste situation in Pakistan and the implementations of CE and AI-driven CE practices in it. Inductive research is conducted in two stages. On the one hand, the theory is developed to evaluate the CE concept and AI techniques to strengthen its practices. On the other hand, a framework is proposed for multi-purpose case studies in the agriculture and food industries of Pakistan to integrate capabilities of CE and CE driven by AI. The outcomes of this research reveal that the true value of AI lies in the transition of CE and recommends that Pakistan must take some crucial measures to boost these practices to achieve sustainable development goals. Some limitations and future research proposals are also provided. The study helps researchers, companies and institues to participate positively towards the Circular Economy goal achievement by imlementing the AI. [ABSTRACT FROM AUTHOR] |
| Database: | Energy & Power Source |
|
Full text is not displayed to guests.
Login for full access.
|
|
| FullText | Links: – Type: pdflink Text: Availability: 1 |
|---|---|
| Header | DbId: enr DbLabel: Energy & Power Source An: 178779074 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Contributions of artificial intelligence for circular economy transition leading toward sustainability: an explorative study in agriculture and food industries of Pakistan. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Ali%2C+Zain+Anwar%22">Ali, Zain Anwar</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> zainanwar86@hotmail.com</i><br /><searchLink fieldCode="AR" term="%22Zain%2C+Mahreen%22">Zain, Mahreen</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Pathan%2C+M%2E+Salman%22">Pathan, M. Salman</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mooney%2C+Peter%22">Mooney, Peter</searchLink><relatesTo>4</relatesTo> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Environment%2C+Development+%26+Sustainability%22">Environment, Development & Sustainability</searchLink>. Aug2024, Vol. 26 Issue 8, p19131-19175. 45p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Circular+economy%22">Circular economy</searchLink><br />*<searchLink fieldCode="DE" term="%22Sustainability%22">Sustainability</searchLink><br />*<searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br />*<searchLink fieldCode="DE" term="%22Food+industry%22">Food industry</searchLink><br />*<searchLink fieldCode="DE" term="%22Sustainable+development%22">Sustainable development</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Pakistan%22">Pakistan</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Circular economy (CE) regenerates nature by introducing circularity in economic systems. It tackles various global challenges of sustainability, specifically in the agriculture and food sectors. Digital technologies support its implementations; especially, artificial intelligence (AI) is acquiring momentum. In this regard through algorithms, remote sensors, drones etc must be incorporated to achieve the desired target. The current studies provide bounded investigations of AI-driven CE exclusively in Pakistan. The main purpose of this paper is to elaborate on AI support in the implementation of CE practices and to explore the current waste situation in Pakistan and the implementations of CE and AI-driven CE practices in it. Inductive research is conducted in two stages. On the one hand, the theory is developed to evaluate the CE concept and AI techniques to strengthen its practices. On the other hand, a framework is proposed for multi-purpose case studies in the agriculture and food industries of Pakistan to integrate capabilities of CE and CE driven by AI. The outcomes of this research reveal that the true value of AI lies in the transition of CE and recommends that Pakistan must take some crucial measures to boost these practices to achieve sustainable development goals. Some limitations and future research proposals are also provided. The study helps researchers, companies and institues to participate positively towards the Circular Economy goal achievement by imlementing the AI. [ABSTRACT FROM AUTHOR] |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=enr&AN=178779074 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s10668-023-03458-9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 45 StartPage: 19131 Subjects: – SubjectFull: Circular economy Type: general – SubjectFull: Sustainability Type: general – SubjectFull: Artificial intelligence Type: general – SubjectFull: Food industry Type: general – SubjectFull: Sustainable development Type: general – SubjectFull: Pakistan Type: general Titles: – TitleFull: Contributions of artificial intelligence for circular economy transition leading toward sustainability: an explorative study in agriculture and food industries of Pakistan. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Ali, Zain Anwar – PersonEntity: Name: NameFull: Zain, Mahreen – PersonEntity: Name: NameFull: Pathan, M. Salman – PersonEntity: Name: NameFull: Mooney, Peter IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2024 Type: published Y: 2024 Identifiers: – Type: issn-print Value: 1387585X Numbering: – Type: volume Value: 26 – Type: issue Value: 8 Titles: – TitleFull: Environment, Development & Sustainability Type: main |
| ResultId | 1 |
