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Artificial intelligence, machine learning and big data in natural resources management: A comprehensive bibliometric review of literature spanning 1975–2022
Applying artificial intelligence (AI), machine learning (ML), and big data to natural resource
management (NRM) is revolutionizing how natural resources are managed. To gain more …
management (NRM) is revolutionizing how natural resources are managed. To gain more …
Internet of Things and citizen science as alternative water quality monitoring approaches and the importance of effective water quality communication
The increasing demand for water and worsening climate change place significant pressure
on this vital resource, making its preservation a global priority. Water quality monitoring …
on this vital resource, making its preservation a global priority. Water quality monitoring …
Analysing the impact of geopolitical risk and economic policy uncertainty on the environmental sustainability: evidence from BRICS countries
H Li, MSE Ali, B Ayub, I Ullah - Environmental Science and Pollution …, 2024 - Springer
This key article seeks to empirically examine the impact of geopolitical risk, economic policy
uncertainty (EPU), natural resources, and renewable energy on a country's ecological …
uncertainty (EPU), natural resources, and renewable energy on a country's ecological …
[HTML][HTML] Development of LoRaWAN-based IoT system for water quality monitoring in rural areas
WA Jabbar, TM Ting, MFI Hamidun… - Expert systems with …, 2024 - Elsevier
This article delineates the design and deployment of an innovative real-time water quality
monitoring system tailored for rural regions, focusing on monitoring the water resource …
monitoring system tailored for rural regions, focusing on monitoring the water resource …
Toward design of internet of things and machine learning-enabled frameworks for analysis and prediction of water quality
The degradation of water quality has become a critical concern worldwide, necessitating
innovative approaches for monitoring and predicting water quality. This paper proposes an …
innovative approaches for monitoring and predicting water quality. This paper proposes an …
Forecasting water quality variable using deep learning and weighted averaging ensemble models
Water quality variables, including chlorophyll-a (Chl-a), play a pivotal role in comprehending
and evaluating the condition of aquatic ecosystems. Chl-a, a pigment present in diverse …
and evaluating the condition of aquatic ecosystems. Chl-a, a pigment present in diverse …
Does green financing develop a cleaner environment for environmental sustainability: Empirical insights from association of southeast Asian nations economies
W Fu, M Irfan - Frontiers in Psychology, 2022 - frontiersin.org
One of the most frequently used terms in climate change discussions is environmental
sustainability. With economic growth and foreign direct investment as moderator factors, this …
sustainability. With economic growth and foreign direct investment as moderator factors, this …
[HTML][HTML] Technological innovations for agricultural production from an environmental perspective: A review
PV Méndez-Zambrano, LP Tierra Pérez… - Sustainability, 2023 - mdpi.com
Information and communication technology (ICT) in develo** countries is a key element
for growth and economic development. This work conducted an evaluation regarding the …
for growth and economic development. This work conducted an evaluation regarding the …
A practical and economical strategy to mitigate salinity stress through seed priming
Soil salinity is one of the significant abiotic threats to crops that deteriorates crop yields, and
the world's increasing population faces serious food problems due to abiotic threats. It is one …
the world's increasing population faces serious food problems due to abiotic threats. It is one …
[HTML][HTML] Industrial Internet of Water Things architecture for data standarization based on blockchain and digital twin technology☆
Introduction: The Industrial Internet of Water Things (IIoWT) has recently emerged as a
leading architecture for efficient water distribution in smart cities. Its primary purpose is to …
leading architecture for efficient water distribution in smart cities. Its primary purpose is to …