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AI can empower agriculture for global food security

2024-04-25Recensão Acesso aberto
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dc.contributor.authorAhmad, Ali
dc.contributor.authorLiew, Anderson Xun-Wang
dc.contributor.authorVenturini, Francesca
dc.contributor.authorKalogeras, Athanasios
dc.contributor.authorCandiani, Alessandro
dc.contributor.authorDi Benedetto, Giacomo
dc.contributor.authorAjibola, Segun
dc.contributor.authorCartujo, Pedro
dc.contributor.authorRomero, Pablo
dc.contributor.authorLykoudi, Aspasia
dc.contributor.authorGrandis, Michelangelo Mastrorocco de
dc.contributor.authorXouris, Christos
dc.contributor.authorLo Bianco, Riccardo
dc.contributor.authorDoddy, Irawan
dc.contributor.authorElegbede, Isa
dc.contributor.authorLabate, Giuseppe Falvo D'Urso
dc.contributor.authorGarcía del Moral, Luis Fernando
dc.contributor.authorMartos, Vanessa
dc.contributor.institutionNOVA Information Management School (NOVA IMS)
dc.contributor.pblFrontiers Media
dc.date.accessioned2024-05-15T01:30:34Z
dc.date.available2024-05-15T01:30:34Z
dc.date.issued2024-04-25
dc.descriptionAhmad, A., Liew, A. X. W., Venturini, F., Kalogeras, A., Candiani, A., Di Benedetto, G., Ajibola, S., Cartujo, P., Romero, P., Lykoudi, A., Grandis, M. M. D., Xouris, C., Lo Bianco, R., Doddy, I., Elegbede, I., Labate, G. F. DU., García del Moral, L. F., & Martos, V. (2024). AI can empower agriculture for global food security: challenges and prospects in developing nations. Frontiers in Artificial Intelligence, 7, 1-18. Article 1328530. https://doi.org/10.3389/frai.2024.1328530 --- The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. The present work has been developed as part of the VIRTUOUS project, funded by the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie-RISE grant agreement no. 872181 (https://www.virtuoush2020.com/) and as a part of the SUSTAINABLE project, funded by the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie-RISE grant agreement no. 101007702 (https://www.projectsustainable.eu) and Project of excellence of the Junta de Andalucía-FEDER. ref. P18-H0-4700.
dc.description.abstractFood and nutrition are a steadfast essential to all living organisms. With specific reference to humans, the sufficient and efficient supply of food is a challenge as the world population continues to grow. Artificial Intelligence (AI) could be identified as a plausible technology in this 5th industrial revolution in bringing us closer to achieving zero hunger by 2030—Goal 2 of the United Nations Sustainable Development Goals (UNSDG). This goal cannot be achieved unless the digital divide among developed and underdeveloped countries is addressed. Nevertheless, developing and underdeveloped regions fall behind in economic resources; however, they harbor untapped potential to effectively address the impending demands posed by the soaring world population. Therefore, this study explores the in-depth potential of AI in the agriculture sector for developing and under-developed countries. Similarly, it aims to emphasize the proven efficiency and spin-off applications of AI in the advancement of agriculture. Currently, AI is being utilized in various spheres of agriculture, including but not limited to crop surveillance, irrigation management, disease identification, fertilization practices, task automation, image manipulation, data processing, yield forecasting, supply chain optimization, implementation of decision support system (DSS), weed control, and the enhancement of resource utilization. Whereas AI supports food safety and security by ensuring higher crop yields that are acquired by harnessing the potential of multi-temporal remote sensing (RS) techniques to accurately discern diverse crop phenotypes, monitor land cover dynamics, assess variations in soil organic matter, predict soil moisture levels, conduct plant biomass modeling, and enable comprehensive crop monitoring. The present study identifies various challenges, including financial, infrastructure, experts, data availability, customization, regulatory framework, cultural norms and attitudes, access to market, and interdisciplinary collaboration, in the adoption of AI for developing nations with their subsequent remedies. The identification of challenges and opportunities in the implementation of AI could ignite further research and actions in these regions; thereby supporting sustainable development.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent18
dc.format.extent3597393
dc.identifier.doi10.3389/frai.2024.1328530
dc.identifier.issn2624-8212
dc.identifier.otherPURE: 90720329
dc.identifier.otherPURE UUID: b2a15cd0-7e68-489b-af81-b18e3a962b84
dc.identifier.othercrossref: 10.3389/frai.2024.1328530
dc.identifier.otherScopus: 85192520665
dc.identifier.otherWOS: 001216347400001
dc.identifier.urihttp://hdl.handle.net/10362/167408
dc.identifier.urlhttps://www.scopus.com/pages/publications/85192520665
dc.identifier.urlhttps://www.webofscience.com/wos/woscc/full-record/WOS:001216347400001
dc.identifier.urlhttps://www.frontiersin.org/articles/10.3389/frai.2024.1328530/full
dc.language.isoeng
dc.peerreviewedyes
dc.subjectedge intelligence
dc.subjectagribusiness
dc.subjectAgriculture 5.0
dc.subjectSustainability
dc.subjectfood security
dc.subjectArtificial Intelligence
dc.subjectSDG 1 - No Poverty
dc.subjectSDG 2 - Zero Hunger
dc.titleAI can empower agriculture for global food securityen
dc.title.subtitlechallenges and prospects in developing nationsen
dc.typereview
degois.publication.firstPage1
degois.publication.lastPage18
degois.publication.titleFrontiers in Artificial Intelligence
degois.publication.volume7
dspace.entity.typePublication
rcaap.rightsopenAccess

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