Planetary digital twin

Teixeira, Rafael R.; Puccinelli, Juliana B.; Guterres, Bruna; Pias, Marcelo; Oliveira, Vinicus Menezes; Botelho, Sílvia Silva da Costa; Poersch, Luís; Filho, Nelson Duarte; Janati, Ahmed; Paris, Maxime

doi:10.1145/3477314.3508384

Cited by 10 publications

(2 citation statements)

References 11 publications

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“…Authors [121,126,216] advocate for the use of low-power sensors, aerial images from drones, and advanced clustering algorithms to enrich data collection, improve system scalability, and enhance decision-making accuracy. The versatility of IoT applications is demonstrated by its deployment in diverse agricultural stages [76] and various forms of agriculture, such as crop production [104,109,147,182], fish farming [108], aquaculture [89,159,239], and beekeeping [139,149]. The authors recommend evaluating the system's efficacy against scenarios with missing data, providing robust insights into real-world challenges.…”

Section: Iot Opportunitiesmentioning

confidence: 99%

IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities

Senoo,

Anggraini,

Kumi

et al. 2024

Electronics

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The global agricultural sector confronts significant obstacles such as population growth, climate change, and natural disasters, which negatively impact food production and pose a threat to food security. In response to these challenges, the integration of IoT and AI technologies emerges as a promising solution, facilitating data-driven decision-making, optimizing resource allocation, and enhancing monitoring and control systems in agricultural operations to address these challenges and promote sustainable farming practices. This study examines the intersection of IoT and AI in precision agriculture (PA), aiming to provide a comprehensive understanding of their combined impact and mutually reinforcing relationship. Employing a systematic literature review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines, we explore the synergies and transformative potential of integrating IoT and AI in agricultural systems. The review also aims to identify present trends, challenges, and opportunities in utilizing IoT and AI in agricultural systems. Diverse forms of agricultural practices are scrutinized to discern the applications of IoT and AI systems. Through a critical analysis of existing literature, this study contributes to a deeper understanding of how the integration of IoT and AI technologies can revolutionize PA, resulting in improved efficiency, sustainability, and productivity in the agricultural sector.

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Section: Iot Opportunitiesmentioning

confidence: 99%

IoT Solutions with Artificial Intelligence Technologies for Precision Agriculture: Definitions, Applications, Challenges, and Opportunities

Senoo,

Anggraini,

Kumi

et al. 2024

Electronics

View full text Add to dashboard Cite

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“…A recent review paper with a specific focus on the interactions between digital twin technology and livestock farming can be found in [122], where promising use case examples were proposed for different aspects of livestock farming, for instance, livestock real-time monitoring and management, farming property energy management, early livestock diseases detection, feed intake optimisation, etc. In the closely related aquaculture sector, digital twin enabled smart fishery and precision aquaculture have been emerging as well [123,124], promoting sustainable management of the underwater environment and aquaculture production.…”

Section: Agriculture Livestock Farming Fishery and The Earthmentioning

confidence: 99%

Enabling Digital Twins to Support the UN SDGs

Hassani

Huang

MacFeely

2022

BDCC

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Digitalisation has enjoyed rapid acceleration during the COVID-19 pandemic on top of the already fast-paced expansion impacting almost every aspect of daily life. Digital twin technology, which is considered a building block of Metaverse and an important pillar of Industrial revolution 4.0, has also received growing interest. Apart from its significant contribution to intelligent manufacturing, there has been considerable discussion on its implementation and the as yet undiscovered potential. This paper reviews the current trajectory of digital twin applications in supporting general sustainability, in the context of the 17 UN SDGs. Furthermore, it connects researchers and readers from different fields with the aim of achieving a better understanding of emerging digital twin technologies, the current values this technology has brought to support UN SDGs, and identify areas with potential for future research to better contribute to achieving the remaining tasks of Agenda 2030.

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