In this study we evaluate Climate Smart Agriculture (CSA) assessment tools with regard to
their suitability for covering not only biophysical but also socio-economic aspects of CSA …

Traditional agricultural systems require huge amount of power for field watering. This paper
proposes a smart irrigation system that helps farmers water their agricultural fields using …

Rice has a huge impact on socio-economic growth, and ensuring its sustainability and
optimal utilization is vital. This review provides an insight into the role of smart farming in …

From last decade, Big data analytics and machine learning is a hotspot research area in the
domain of agriculture. Agriculture analytics is a data intensive multidisciplinary problem. Big …

Extreme heat events have become more frequent and severe under climate change and
seriously threaten rice growth. Most existing crop models tend to underestimate the impacts …

Global climate change and increasing pressure of water shortage reinforce the necessity of
optimal water management. In this study, a type-2 fuzzy mixed-integer bi-level programming …

Spatial and temporal variability of streamflow due to climate change affects hydrological
processes and irrigation demands at a basin scale. This study investigated the impacts of …

Rainfall is a vital component in the rice water demand model for estimating irrigation
requirements. Information on how the future patterns are likely to evolve is essential for rice …

Assessing the impact of climate change (CC) on agricultural production systems is mainly
done using crop models associated with climate model outputs. This review is one of the …

An integrated modeling approach analyzing water demand and supply balances under
management options in a river basin is essential for the management and adaptive …