Because of the recent advances in drones or Unmanned Aerial Vehicle (UAV) platforms,
sensors and software, UAVs have gained popularity among precision agriculture …

Data-driven models for water body extraction have experienced accelerated growth in
recent years, thanks to advances in processing techniques and computational resources, as …

Because of the recent development in advanced sensors, data acquisition platforms, and
data analysis methods, unmanned aerial vehicle (UAV) or drone-based remote sensing has …

Background In the last two decades, Nepal has experienced an increase in both forest fire
frequency and area, but very little is known about its spatiotemporal dimension. A limited …

The accurate trajectory of the train ahead with more dynamic behaviour, such as train
position, speed, acceleration, etc., is the critical issue of virtual coupling for future railways …

In real-world scenarios involving groundwater contamination, the environmental complexity
substantially complicates the tasks of tracing pollution sources and characterizing the …

Pastures are important feed sources for livestock and require an optimal management
strategy to boost the productivity and sustainability of grassland. Remote sensing (RS) has …

This book provides an extensive overview of recent advances in machine learning (ML) and
deep learning (DL). It starts with a comprehensive introduction to the latest architectural and …

As the volume of satellite images increases rapidly, unsupervised classification can be
utilized to swiftly investigate land cover distributions without prior knowledge and to …

The impact of climate change, arguably global warming and resulting drought, is one of the
most escalating agricultural challenges affecting crop productivity. Therefore, effective water …