A review on the practice of big data analysis in agriculture
A Kamilaris, A Kartakoullis… - Computers and Electronics …, 2017 - Elsevier
To tackle the increasing challenges of agricultural production, the complex agricultural
ecosystems need to be better understood. This can happen by means of modern digital …
ecosystems need to be better understood. This can happen by means of modern digital …
[HTML][HTML] Marine energy digitalization digital twin's approaches
Digital twins (DTs) promise innovation for the marine renewable energy sector using modern
technological advances and the existing maritime knowledge frameworks. The DT is a …
technological advances and the existing maritime knowledge frameworks. The DT is a …
Deploying artificial intelligence for climate change adaptation
Artificial Intelligence (AI) is believed to have a significant potential use in tackling climate
change. This paper explores the connections between AI and climate change research as a …
change. This paper explores the connections between AI and climate change research as a …
[HTML][HTML] Multimodal remote sensing benchmark datasets for land cover classification with a shared and specific feature learning model
As remote sensing (RS) data obtained from different sensors become available largely and
openly, multimodal data processing and analysis techniques have been garnering …
openly, multimodal data processing and analysis techniques have been garnering …
How can Big Data and machine learning benefit environment and water management: a survey of methods, applications, and future directions
AY Sun, BR Scanlon - Environmental Research Letters, 2019 - iopscience.iop.org
Big Data and machine learning (ML) technologies have the potential to impact many facets
of environment and water management (EWM). Big Data are information assets …
of environment and water management (EWM). Big Data are information assets …
Big Data and cloud computing: innovation opportunities and challenges
Big Data has emerged in the past few years as a new paradigm providing abundant data
and opportunities to improve and/or enable research and decision-support applications with …
and opportunities to improve and/or enable research and decision-support applications with …
State-of-the-art internet of things in protected agriculture
X Shi, X An, Q Zhao, H Liu, L ** digital twins of the earth: The destination earth case
S Nativi, P Mazzetti, M Craglia - Remote Sensing, 2021 - mdpi.com
This manuscript discusses the key characteristics of the Digital Ecosystems (DEs) model,
which, we argue, is particularly appropriate for connecting and orchestrating the many …
which, we argue, is particularly appropriate for connecting and orchestrating the many …
[HTML][HTML] Big data in agriculture: Between opportunity and solution
SA Osinga, D Paudel, SA Mouzakitis… - Agricultural …, 2022 - Elsevier
CONTEXT Big data applications in agriculture evolve fast, as more experience, applications,
good practices and computational power become available. Actual solutions to real-life …
good practices and computational power become available. Actual solutions to real-life …
A cloud-based cyber-physical system for adaptive shop-floor scheduling and condition-based maintenance
D Mourtzis, E Vlachou - Journal of manufacturing systems, 2018 - Elsevier
Abstract Manufacturing, through the Industry 4.0 concept, is moving to the next phase; that of
digitalization. Industry 4.0 enables the transition of traditional manufacturing systems to …
digitalization. Industry 4.0 enables the transition of traditional manufacturing systems to …