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[HTML][HTML] Applications of machine learning to water resources management: A review of present status and future opportunities
Water is the most valuable natural resource on earth that plays a critical role in the socio-
economic development of humans worldwide. Water is used for various purposes, including …
economic development of humans worldwide. Water is used for various purposes, including …
[HTML][HTML] Smart applications and digital technologies in viticulture: A review
It is important to continuously monitor the long-term impact of viticultural management
practices and assess opportunities for improving the environmental footprint of vineyard …
practices and assess opportunities for improving the environmental footprint of vineyard …
Long lead-time daily and monthly streamflow forecasting using machine learning methods
Long lead-time streamflow forecasting is of great significance for water resources planning
and management in both the short and long terms. Despite of some studies using machine …
and management in both the short and long terms. Despite of some studies using machine …
Coupling a hybrid CNN-LSTM deep learning model with a boundary corrected maximal overlap discrete wavelet transform for multiscale lake water level forecasting
Develo** accurate lake water level (WL) forecasting models is important for flood control,
shoreline maintenance and sustainable water resources planning and management. In this …
shoreline maintenance and sustainable water resources planning and management. In this …
[HTML][HTML] Exploring temporal dynamics of river discharge using univariate long short-term memory (LSTM) recurrent neural network at East Branch of Delaware River
River flow prediction is a pivotal task in the field of water resource management during the
era of rapid climate change. The highly dynamic and evolving nature of the climatic …
era of rapid climate change. The highly dynamic and evolving nature of the climatic …
[HTML][HTML] Water stress identification of winter wheat crop with state-of-the-art AI techniques and high-resolution thermal-RGB imagery
Timely crop water stress detection can help precision irrigation management and minimize
yield loss. A two-year study was conducted on non-invasive winter wheat water stress …
yield loss. A two-year study was conducted on non-invasive winter wheat water stress …
High temporal resolution urban flood prediction using attention-based LSTM models
Rapid and accurate urban flood forecasting with high temporal resolution is critical to
address future flood risks under urbanization and climate change. Machine learning models …
address future flood risks under urbanization and climate change. Machine learning models …
Groundwater level response identification by hybrid wavelet–machine learning conjunction models using meteorological data
Due to its heterogeneous and complex nature, groundwater modeling needs great effort to
quantify the aquifer, a crucial tool for policymakers and hydrogeologists to understand the …
quantify the aquifer, a crucial tool for policymakers and hydrogeologists to understand the …
Exploring machine learning algorithms for accurate water level forecasting in Muda river, Malaysia
Accurate water level prediction for both lake and river is essential for flood warning and
freshwater resource management. In this study, three machine learning algorithms: multi …
freshwater resource management. In this study, three machine learning algorithms: multi …
On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction
Accurate pan evaporation (E pan) prediction is a critical issue in water resources
management, particularly when designing and managing rural water resource systems, and …
management, particularly when designing and managing rural water resource systems, and …