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Framework for Enhancing Urban Living Through Sustainable Plant Selection in Residential Green Spaces

Udayasoorian Kaaviya Priya, Ramalingam Senthil • Urban Science (2024)

Residential greening is a critical strategy for mitigating the negative impacts of urbanization on the environment, biodiversity, and human well-being. Proper plant species selection is essential for the success of residential greening proj...

DOAJ Open Access (DOAJ) DOI: 10.3390/urbansci8040235

The Evolution of Phytochemical and Medicinal Plant Research in Chile: Status, Opportunities, and Challenges

Gonzalo Fuentes-Barros, Sebastián Castro-Saavedra, Nicolás Montalva, Alejandro Vega-Muñoz et al. • Plants (2026)

Background: The global use of herbal medicines and research on plant bioactive compounds have steadily increased. In Chile, this growth is linked to ethnobotanical knowledge and advances in phytochemistry, although gaps persist in its evolu...

DOAJ Open Access (DOAJ) DOI: 10.3390/plants15142135

Water mites (Acari, Hydrachnidia) of riparian springs in a small lowland river valley: what are the key factors for species distribution?

Andrzej Zawal, Robert Stryjecki, Edyta Buczyńska, Paweł Buczyński et al. • PeerJ (2018)

This paper examines the impact of disturbance factors—flooding and intermittency—on the distribution of water mites in the riparian springs situated in the valley of a small lowland river, the Krąpiel. The landscape factors and physicochemi...

DOAJ Open Access (DOAJ) DOI: 10.7717/peerj.4797

A Survey on Underwater Computer Vision

Salma González-Sabbagh, Antonio Robles‐Kelly • ACM Computing Surveys (2023)

Underwater computer vision has attracted increasing attention in the research community due to the recent advances in underwater platforms such as of rovers, gliders, autonomous underwater vehicles (AUVs) , and the like, that now make possi...

OPENALEX other-oa DOI: https://doi.org/10.1145/3578516

Deep learning and computer vision will transform entomology

Toke T. Høye, Johanna Ärje, Kim Bjerge, Oskar Liset Pryds Hansen et al. • Proceedings of the National Academy of Sciences (2021)

ABSTRACT Most animal species on Earth are insects, and recent reports suggest that their abundance is in drastic decline. Although these reports come from a wide range of insect taxa and regions, the evidence to assess the extent of the phe...

OPENALEX cc-by DOI: https://doi.org/10.1073/pnas.2002545117 PMC: 7812775

Deep learning as a tool for ecology and evolution

Marek L. Borowiec, Rebecca B. Dikow, Paul B. Frandsen, Alexander J. McKeeken et al. • Methods in Ecology and Evolution (2022)

Abstract Deep learning is driving recent advances behind many everyday technologies, including speech and image recognition, natural language processing and autonomous driving. It is also gaining popularity in biology, where it has been use...

OPENALEX cc-by-nc DOI: https://doi.org/10.1111/2041-210x.13901

Machine learning for ecosystem services

Simon Willcock, Javier Martínez‐López, Danny A. P. Hooftman, Kenneth J. Bagstad et al. • Ecosystem Services (2018)

Recent developments in machine learning have expanded data-driven modelling (DDM) capabilities, allowing artificial intelligence to infer the behaviour of a system by computing and exploiting correlations between observed variables within i...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.ecoser.2018.04.004

Mapping drivers of tropical forest loss with satellite image time series and machine learning

Jan Pišl, Marc Rußwurm, Lloyd Haydn Hughes, Gaston Lenczner et al. • Environmental Research Letters (2024)

The rates of tropical deforestation remain high, resulting in carbon emissions, biodiversity loss, and impacts on local communities. To design effective policies to tackle this, it is necessary to know what the drivers behind deforestation ...

DOAJ Open Access (DOAJ) DOI: 10.1088/1748-9326/ad44b2

Enhancing host-pathogen phenotyping dynamics: early detection of tomato bacterial diseases using hyperspectral point measurement and predictive modeling

Mafalda Reis Pereira, Mafalda Reis Pereira, Filipe Neves dos Santos, Fernando Tavares et al. • Frontiers in Plant Science (2023)

Early diagnosis of plant diseases is needed to promote sustainable plant protection strategies. Applied predictive modeling over hyperspectral spectroscopy (HS) data can be an effective, fast, cost-effective approach for improving plant dis...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpls.2023.1242201

Highest methane concentrations in an Arctic river linked to local terrestrial inputs

K. Castro-Morales, A. Canning, S. Arzberger, W. A. Overholt et al. • Biogeosciences (2022)

Large amounts of methane (CH4) could be released as a result of the gradual or abrupt thawing of Arctic permafrost due to global warming. Once available, this potent greenhouse gas is emitted into the atmosphere or transported laterally int...

DOAJ Open Access (DOAJ) DOI: 10.5194/bg-19-5059-2022