The agriculture industry is undergoing a rapid digital transformation and is growing powerful
by the pillars of cutting-edge approaches like artificial intelligence and allied technologies …

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 …

Prediction of suspended sediment load (SSL) in streams is significant in hydrological
modeling and water resources engineering. Development of a consistent and accurate …

Agricultural droughts are a prime concern for economies worldwide as they negatively
impact the productivity of rain-fed crops, employment, and income per capita. In this study …

Nowadays, great attention has been attributed to the study of runoff and its fluctuation over
space and time. There is a crucial need for a good soil and water management system to …

Climate change has caused droughts to increase in frequency and severity worldwide,
which has attracted scientists to create drought prediction models to mitigate the impacts of …

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 …

Rainfall forecasting is critical because it is the componen t that has the strongest link to
natural disasters such as landslides, floods, mass movements, and avalanches. The present …

Forecasting water quality parameters helps plan crop selection and irrigation strategies but
is often costly because many parameters are required, particularly in develo** nations …

The prediction of hydrological droughts is vital for surface and ground waters, reservoir
levels, hydroelectric power generation, agricultural production, forest fires, climate change …