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生物能源与农业、林业及其他土地利用的关系:突出人工智能和共引网络的具体贡献。

Bioenergy relations with agriculture, forestry and other land uses: Highlighting the specific contributions of artificial intelligence and co-citation networks.

作者信息

Martinho Vítor João Pereira Domingues, Rodrigues Raimundo Nonato

机构信息

Agricultural School (ESAV) and CERNAS-IPV Research Centre, Polytechnic Institute of Viseu (IPV), 3504-510, Viseu, Portugal.

Center of Applied Social Sciences, Department of Accounting and Actuarial Sciences, Federal University of Pernambuco, Recife 50740-580, Brazil.

出版信息

Heliyon. 2024 Feb 10;10(4):e26267. doi: 10.1016/j.heliyon.2024.e26267. eCollection 2024 Feb 29.

DOI:10.1016/j.heliyon.2024.e26267
PMID:38379976
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10877436/
Abstract

The concerns with the environment and sustainability have promoted options for energy sources that mitigate the footprint of human life. The use of biomass from agriculture, forestry and other land uses (AFOLU) has enormous potential for the production of bioenergy as a renewable source of energy. In this context, this research aims to analyse the interrelationships between bioenergy and agriculture, forestry and other land uses, highlighting the contributions of the digital transition for these dimensions. To achieve these objectives, a bibliometric analysis through co-citation links (and items related to cited authors, references and sources) was carried out for the dimensions associated with the bioenergy and the AFOLU and after a specific literature survey was performed for the contributions from the digital transition for these frameworks. With this study, top authors, references and sources were identified for the topics assessed and it was highlighted the importance of digital transitions for more efficient bioenergy use and production in the worldwide contexts.

摘要

对环境和可持续性的关注推动了能源选择,以减轻人类生活的足迹。利用农业、林业和其他土地利用(AFOLU)产生的生物质作为可再生能源生产生物能源具有巨大潜力。在此背景下,本研究旨在分析生物能源与农业、林业和其他土地利用之间的相互关系,突出数字转型在这些方面的贡献。为实现这些目标,通过共引链接(以及与被引作者、参考文献和来源相关的项目)对与生物能源和AFOLU相关的维度进行了文献计量分析,并针对数字转型对这些框架的贡献进行了特定的文献调查。通过这项研究,确定了所评估主题的顶级作者、参考文献和来源,并强调了数字转型对于全球范围内更高效地使用和生产生物能源的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3034/10877436/a37f1190afc5/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3034/10877436/ce3b4e160422/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3034/10877436/ee1c0a2407cd/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3034/10877436/716385beb1b3/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3034/10877436/a37f1190afc5/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3034/10877436/ce3b4e160422/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3034/10877436/ee1c0a2407cd/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3034/10877436/716385beb1b3/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3034/10877436/a37f1190afc5/gr4.jpg

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EU climate plan sacrifices carbon storage and biodiversity for bioenergy.欧盟气候计划为生物能源牺牲碳储存和生物多样性。
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The development of input-monitoring system on biofuel economics and social welfare analysis.
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Can exascale computing and explainable artificial intelligence applied to plant biology deliver on the United Nations sustainable development goals?应用于植物生物学的 exascale 计算和可解释的人工智能能否实现联合国可持续发展目标?
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