This paper reviewed a set of twenty-one original and innovative papers included in a special
issue on UAVs for vegetation monitoring, which proposed new methods and techniques …

Artificial intelligence (AI) has advanced at an astounding rate and transformed numerous
economic sectors. Nevertheless, a comprehensive understanding of how AI can improve the …

Parallel to the rising debates over sustainable energy and artificial intelligence solutions, the
world is currently discussing the ethics of artificial intelligence and its possible negative …

The challenges of urbanization, land degradation, water scarcity, and climate change are
threatening agricultural systems and food security. Therefore, it is essential to manage land …

Researchers and engineers have increasingly used Deep Learning (DL) for a variety of
Remote Sensing (RS) tasks. However, data from local observations or via ground truth is …

Protagonists allege that artificial intelligence (AI) is revolutionising contemporaneous
mindscapes. Here, we authoritatively review the status quo of AI and machine learning …

In recent years, the use of unmanned aerial vehicles (UAVs) has received increasing
attention in remote sensing, vegetation monitoring, vegetation index (VI) map**, precision …

The DoD's artificial intelligence (AI) strategy requires the delivery of transformative and
disruptive capabilities that impact the “character of the future battlefield and the pace of …

Water is the most limiting natural resource in many semi-arid areas. This, together with the
current climate change scenario, is fostering a context of uncertainty and major challenges …

Featured Application In this paper, an all-inclusive review of deep learning sensor fusion
with its challenges and future perspectives in plant water stress assessment has been …