Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 111 - 134
Опубликована: Янв. 1, 2025
Язык: Английский
Sustainable Production and Consumption, Год журнала: 2024, Номер 46, С. 522 - 542
Опубликована: Март 13, 2024
Язык: Английский
Процитировано
53
Environmental Research, Год журнала: 2024, Номер 250, С. 118528 - 118528
Опубликована: Фев. 23, 2024
Язык: Английский
Процитировано
22
Electronics, Год журнала: 2025, Номер 14(4), С. 696 - 696
Опубликована: Фев. 11, 2025
The integration of artificial intelligence (AI) agents with the Internet Things (IoT) has marked a transformative shift in environmental monitoring and management, enabling advanced data gathering, in-depth analysis, more effective decision making. This comprehensive literature review explores AI IoT technologies within sciences, particular focus on applications related to water quality climate data. methodology involves systematic search selection relevant studies, followed by thematic, meta-, comparative analyses synthesize current research trends, benefits, challenges, gaps. highlights how enhances IoT’s collection capabilities through predictive modeling, real-time analytics, automated making, thereby improving accuracy, timeliness, efficiency systems. Key benefits identified include enhanced precision, cost efficiency, scalability, facilitation proactive management. Nevertheless, this encounters substantial obstacles, including issues quality, interoperability, security, technical constraints, ethical concerns. Future developments point toward enhancements technologies, incorporation innovations like blockchain edge computing, potential formation global systems, greater public involvement citizen science initiatives. Overcoming these challenges embracing new technological trends could enable play pivotal role strengthening sustainability resilience.
Язык: Английский
Процитировано
3
Journal of Environmental Management, Год журнала: 2025, Номер 373, С. 123864 - 123864
Опубликована: Янв. 1, 2025
The rapid advancement of Artificial Intelligence (AI) presents unprecedented opportunities for participatory environmental management. This paper explores the integration AI technologies into approaches, which engage diverse stakeholders in decision-making processes. Using artificial intelligence, a corpus 80 papers was compiled and subsequently analyzed with text mining tools. By identifying systematizing academics' contributions to knowledge about AI-driven tools, this study also discusses challenges ethical considerations inherent deployment, emphasizing need transparent, equitable, accountable systems. Looking ahead, we outline future prospects management, focusing on potential foster adaptive management strategies, enhance stakeholder collaboration, support sustainable development goals.
Язык: Английский
Процитировано
2
The Science of The Total Environment, Год журнала: 2024, Номер 927, С. 172310 - 172310
Опубликована: Апрель 8, 2024
Язык: Английский
Процитировано
13
Medicine, Год журнала: 2024, Номер 103(27), С. e38811 - e38811
Опубликована: Июль 5, 2024
The application of artificial intelligence (AI) technologies in scientific research has significantly enhanced efficiency and accuracy but also introduced new forms academic misconduct, such as data fabrication text plagiarism using AI algorithms. These practices jeopardize integrity can mislead directions. This study addresses these challenges, underscoring the need for community to strengthen ethical norms, enhance researcher qualifications, establish rigorous review mechanisms. To ensure responsible transparent processes, we recommend following specific key actions: Development enforcement comprehensive guidelines that include clear protocols use analysis publication, ensuring transparency accountability AI-assisted research. Implementation mandatory ethics training researchers, aimed at fostering an in-depth understanding potential misuses promoting practices. Establishment international collaboration frameworks facilitate exchange best development unified standards Protecting is paramount maintaining public trust science, making recommendations urgent consideration action.
Язык: Английский
Процитировано
13
The Innovation Geoscience, Год журнала: 2024, Номер 2(3), С. 100087 - 100087
Опубликована: Янв. 1, 2024
<sec></sec><sec><p> Sustainable development depends on the integration of economy, society, and environment. Yet, escalating environmental challenges pose threats to both society economy. Despite progress in addressing issues promote sustainability, knowledge gaps scientific research, technological advancement, engineering practice, policy persist. In this review, we aim narrow these by proposing innovation-based solutions refining existing paradigms. Reviewing past research actions, first elucidate evolution sustainability science essence sustainable its assessment. Secondly, summarize current major issues, including global warming climate change, biodiversity loss, land degradation desertification, pollution, as well their relationships with achievement Development Goals (SDGs). Subsequently, review critically evaluates role innovations science, technology, engineering, (iSTEP) synergies advancing SDGs. While sequential may vary based specific contexts or scenarios within iSTEP framework, each component reinforces others, fostering continuous improvement. Finally, offers recommendations future perspectives for formulating roadmaps. Recommendations include a vision promoting interdisciplinary collaboration, encouraging transboundary cooperation among stakeholders endeavors.</p></sec>
Язык: Английский
Процитировано
11
Environmental Research, Год журнала: 2024, Номер 249, С. 118246 - 118246
Опубликована: Янв. 24, 2024
Язык: Английский
Процитировано
10
Frontiers in Environmental Economics, Год журнала: 2025, Номер 3
Опубликована: Янв. 9, 2025
Artificial intelligence (AI) plays a pivotal role in the development of green economy. This paper examines impact artificial on economic efficiency (GEE) using panel data from 30 provinces China spanning 2011–2020. A multiple linear regression model, alongside various endogeneity and robustness tests, is applied to ensure reliable findings. The empirical results indicate that AI significantly enhances GEE. However, marginal effect GEE influenced by different governance approaches. In terms policy governance, excessive market-based environmental regulation (MER) diminishes AI, while stronger administrative-command regulations (CER) informal (IER) amplify it. Regarding technological substantive innovations (SUG) reduce AI's effect, whereas symbolic (SYG) may increase Notably, threshold SUG surpasses SYG. legal both administrative judicial intellectual property protections though protection (AIP) exhibits more significant than (JIP). These findings offer practical insights for optimizing strategies maximize promoting highlight need balanced sustainable development. Policymakers should tailor encourage regional collaboration harness spatial spillover effects. Enterprises can leverage AI-driven align growth with ecological goals, fostering coordinated
Язык: Английский
Процитировано
1
Cogent Food & Agriculture, Год журнала: 2025, Номер 11(1)
Опубликована: Янв. 20, 2025
Global food security is seriously threatened by climate change, which calls for creative agricultural solutions. However, little known about how different smart technologies are integrated to enhance security. As a strategic reaction these difficulties, this review investigates the incorporation of remote sensing (RS) as well artificial intelligence (AI) into climate-smart agriculture (CSA). This demonstrates advances can improve resilience, productivity, and sustainability utilizing AI's capacity predictive analytics, crop modelling, precision agriculture, along with RS's strengths in projections, land management, continuous surveillance. Several important tactics were covered, such combining AI RS regulate risks, maximize resource utilization, practice choices. The also discusses issues like policy frameworks, building, accessibility that prevent from being widely adopted. highlights further CSA offers insights they help ensure systems remain secure changing climates.
Язык: Английский
Процитировано
1