Artificial intelligence (AI) and especially reinforcement learning (RL) have the potential to
enable agents to learn and perform tasks autonomously with superhuman performance …

In an era marked by rapid technological progress, the pivotal role of Artificial Intelligence (AI)
is increasingly evident across various sectors, including local governments. These …

This paper delineates the contemporary landscape, challenges, and prospective
developments in human-centred artificial intelligence (AI) within the ambit of smart farming, a …

Biodiversity monitoring using machine learning and AI-based approaches is becoming
increasingly popular. It allows for providing detailed information on species distribution and …

Abstract Purpose of the Review Recent technological innovations in Artificial Intelligence
(AI) have successfully revolutionized many industrial processes, enhancing productivity and …

Smart forestry, an innovative approach leveraging artificial intelligence (AI), aims to enhance
forest management while minimizing the environmental impact. The efficacy of AI in this …

Globally, pests and plant diseases severely threaten forestry and agriculture. Plant
protection could be substantially enhanced by using noncontact, extremely effective, and …

Preserving biodiversity is crucial for maintaining ecological balance; however, traditional
conservation methods often face various limitations. In most cases, the efficacy of these …

The evolving technologies regarding Unmanned Aerial Vehicles (UAVs) have led to their
extended applicability in diverse domains, including surveillance, commerce, military, and …

We present an exciting journey from 3D point‐cloud data (PCD) to the state of the art in
graph neural networks (GNNs) and their evolution with explainable artificial intelligence …