Drought prediction is of critical importance to early warning for drought managements. This
review provides a synthesis of drought prediction based on statistical, dynamical, and hybrid …

By effectively observing the land surface and obtaining farmland conditions, satellite remote
sensing has played an essential role in agricultural drought monitoring over past decades …

Owing to its severe effect on productivity of rain-fed crops and indirect effect on employment
as well as per capita income, agricultural drought has become a prime concern worldwide …

Drought monitoring and declaration in India are challenging due to the requirement of
multiple drought indices representing meteorological, hydrological, and agricultural …

This paper focus on the drought monitoring and forecasting for semi-arid region based on
the various machine learning models and SPI index. Drought phenomena are crucial role in …

This article presents an analysis of the response of the annual crop yield in five main dryland
cultivations in the United States to different time-scales of drought, and explores the …

For Sri Lanka, as an agricultural country, a methodical drought monitoring mechanism,
including spatial and temporal variations, may significantly contribute to its agricultural …

Droughts are one of the most catastrophic natural disasters on the planet, impacting millions
of people in various ways (eg, food security, economic losses, and migration). The growing …

Agricultural drought affects the regional food security and thus understanding how
meteorological drought propagates to agricultural drought is crucial. This study examines …

Global food security is negatively affected by drought. Climate projections show that drought
frequency and intensity may increase in different parts of the globe. These increases are …