Accurate drought prediction is essential for drought resilience and water resources
management. The skill of seasonal drought prediction from dynamical and statistical models …

Soil moisture (SM) is a crucial parameter of hydrological processes as it affects the
exchange of water and heat at the land/atmosphere interface. Regional hydrological …

The most noticeable sector for the survival of the huge population needs the proper
technique for the upliftment of the agricultural sector. Various factors make the agriculture …

Accurate root zone soil moisture (RZSM) estimation is essential for precision irrigation (PI)
systems that seek to optimize water use efficiency. Large-scale in-situ sensors for direct …

Early warning and focused regulation of veterinary drug residues in freshwater products can
protect human health and stabilize social development. To improve the prediction accuracy …

A deep learning technology is adopted to predict seasonal rainfall efficiently. Various rainfall
data are collected from the internet. A deep feature extraction is done by autoencoder …

Natural disasters and floods brought on by heavy rainfall pose serious threats to human
health and lives every year on a global scale. The intricacy of meteorological data makes it …

Abstract Internet of Things (IoT) has revolutionized different technological fields and
applications. Many sensory devices are connected in the network, and an enormous amount …

The paper Impact of Deep Learning in the Analytics of Climate Change surveys the recent
advances and applications of deep learning methods for various climate change related …

The Cisco-La Trobe Centre for AI and Internet of Things (IoT) based at La Trobe University is
Australia's only industry-sponsored research centre which specializes in combining the …