Drought prediction: a comprehensive review of different drought prediction models and adopted technologies
Precipitation deficit conditions and temperature anomalies are responsible for the
occurrence of various types of natural disasters that cause tremendous loss of human life …
occurrence of various types of natural disasters that cause tremendous loss of human life …
[HTML][HTML] Drought forecasting: a review and assessment of the hybrid techniques and data pre-processing
Drought is a prolonged period of low precipitation that negatively impacts agriculture,
animals, and people. Over the last decades, gradual changes in drought indices have been …
animals, and people. Over the last decades, gradual changes in drought indices have been …
Prediction of meteorological drought and standardized precipitation index based on the random forest (RF), random tree (RT), and Gaussian process regression (GPR …
Agriculture, meteorological, and hydrological drought is a natural hazard which affects
ecosystems in the central India of Maharashtra state. Due to limited historical data for …
ecosystems in the central India of Maharashtra state. Due to limited historical data for …
[HTML][HTML] Predicting crop yields using a new robust Bayesian averaging model based on multiple hybrid ANFIS and MLP models
Predicting crop yield is an important issue for farmers. Food security is important for decision-
makers. The agriculture industry can more accurately supply human demand for food if the …
makers. The agriculture industry can more accurately supply human demand for food if the …
Prediction of streamflow drought index for short-term hydrological drought in the semi-arid Yesilirmak Basin using Wavelet transform and artificial intelligence …
OM Katipoğlu - Sustainability, 2023 - mdpi.com
The prediction of hydrological droughts is vital for surface and ground waters, reservoir
levels, hydroelectric power generation, agricultural production, forest fires, climate change …
levels, hydroelectric power generation, agricultural production, forest fires, climate change …
[HTML][HTML] Performance of machine learning techniques for meteorological drought forecasting in the Wadi Mina Basin, Algeria
Water resources, land and soil degradation, desertification, agricultural productivity, and
food security are all adversely influenced by drought. The prediction of meteorological …
food security are all adversely influenced by drought. The prediction of meteorological …
A contemporary review on drought modeling using machine learning approaches
Drought is the least understood natural disaster due to the complex relationship of multiple
contributory factors. Its beginning and end are hard to gauge, and they can last for months or …
contributory factors. Its beginning and end are hard to gauge, and they can last for months or …
Improving drought modeling using hybrid random vector functional link methods
Drought modeling is essential in water resources planning and management in mitigating its
effects, especially in arid regions. Climate change highly influences the frequency and …
effects, especially in arid regions. Climate change highly influences the frequency and …
Evaluation of machine learning techniques for hydrological drought modeling: A case study of the Wadi Ouahrane basin in Algeria
Forecasting meteorological and hydrological drought using standardized metrics of rainfall
and runoff (SPI/SRI) is critical for the long-term planning and management of water …
and runoff (SPI/SRI) is critical for the long-term planning and management of water …
[HTML][HTML] A comparative analysis of data mining techniques for agricultural and hydrological drought prediction in the eastern Mediterranean
Drought is a natural hazard which affects ecosystems in the eastern Mediterranean.
However, limited historical data for drought monitoring and forecasting are available in the …
However, limited historical data for drought monitoring and forecasting are available in the …