The agriculture sector is highly vulnerable to natural disasters and climate change, leading
to severe impacts on food security, economic stability, and rural livelihoods. The use of …

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 …

Monitoring drought in semi-arid regions due to climate change is of paramount importance.
This study, conducted in Morocco's Upper Drâa Basin (UDB), analyzed data spanning from …

Water availability for agricultural practices is dynamically influenced by climatic variables,
particularly droughts. Consequently, the assessment of drought events is directly related to …

Rapid advancements in technology, particularly in soil tools and agricultural machinery,
have led to the proliferation of mechanized agriculture. The interaction between such …

Ensuring the security of China's rice harvest is imperative for sustainable food production.
The existing study addresses a critical need by employing a comprehensive approach that …

Convolutional neural network (CNN) is a deep learning (DL) model that has significantly
contributed to medical systems because it is very useful in digital image processing …

Although the accurate prediction of the Standardized Precipitation Evapotranspiration Index
(SPEI) is considered meaningful in reducing drought losses, its wide applications are limited …

A reliable prediction of the spatio-temporal drought variation can lead to a reduction in
vulnerability and an improvement in the management of drought-dependent businesses. In …

Drought is a complex and devastating natural disaster that needs to be constantly
investigated. In this study, standardized precipitation indexes (SPI-3 and SPI-6) were …