The role of interoperable data standards in precision livestock farming in extensive livestock systems: A review

C Bahlo, P Dahlhaus, H Thompson, M Trotter - Computers and electronics …, 2019 - Elsevier
Livestock industries are increasingly embracing precision farming and decision support
tools. As a result, sensors, weather stations, individual animal tracking, feed monitoring and …

[PDF][PDF] A comprehensive review of ontologies in the hydrology towards guiding next generation artificial intelligence applications

Ö Baydaroğlu, S Yeşilköy, Y Sermet… - Journal of …, 2023 - researchgate.net
Big data generated by remote sensing, ground-based measurements, models and
simulations, social media and crowdsourcing, and a wide range of structured and …

A new international initiative for facilitating data-driven Earth science transformation

Q Cheng, R Oberhänsli, M Zhao - Geological Society, London …, 2020 - lyellcollection.org
Data-driven techniques including machine-learning (ML) algorithms with big data are re-
activating and re-empowering research in traditional disciplines for solving new problems …

Managing groundwater resources using a national reference database: the French ADES concept

A Winckel, S Ollagnier, S Gabillard - SN Applied Sciences, 2022 - Springer
Groundwater is an integral part of the water cycle and an essential human resource.
Humans must protect this ever-changing heritage and preserve it in a sustainable way by …

A comprehensive review of ontologies in the hydrology towards guiding next generation artificial intelligence applications

Ö Baydaroğlu, S Yeşilköy, MY Sermet, I Demir - 2022 - eartharxiv.org
Open science presents a new approach for knowledge discovery, dissemination, and
integrity. The idea behind open science is to reinforce research activities and create open …

Water features and their parts

B Brodaric, T Hahmann, M Gruninger - Applied ontology, 2019 - content.iospress.com
Water features such as rivers, clouds, and aquifers are primarily understood from sensor
measurements. Ontologies for the hydro domain play a key role in describing sensor …

What we talk about when we talk about uncertainty. Toward a unified, data-driven framework for uncertainty characterization in hydrogeology

F Heße, A Comunian, S Attinger - Frontiers in Earth Science, 2019 - frontiersin.org
In this manuscript, we compare and discuss different frameworks for hydrogeological
uncertainty analysis. Since uncertainty is a property of knowledge, we base this comparison …

Geological Survey of Canada 8.0: mapping the journey towards predictive geoscience

D Lebel - Geological Society, London, Special Publications, 2020 - lyellcollection.org
Abstract The Geological Survey of Canada (GSC) has been furthering the geoscientific
understanding of Canada since its inception in 1842, the equivalent of seven generations …

Groundwater sustainability in a digital world

AS Elshall, M Ye, Y Wan - Water and Climate Change, 2022 - Elsevier
Focused on connectivity and enabled by smart technologies, the fourth industrial revolution
is creating a digital transformation that is advancing and prompting sustainable groundwater …

An agile and parsimonious approach to data management in groundwater science using open-source resources

G De Filippis, S Stevenazzi, C Camera, D Pedretti… - Hydrogeology …, 2020 - air.unimi.it
National governments and international organizations such as the European Commission,
are promoting the increased use ofinformation and communication technologies to assist …