Population growth, climate change, and the worldwide COVID-19 pandemic are imposing
increasing pressure on global agricultural production. The challenge of increasing crop yield …

This paper offers a comprehensive overview of machine learning (ML) methodologies and
algorithms, highlighting their practical applications in the critical domain of water resource …

This paper explores the potential of smart crop management based on the incorporation of
tools like digital agriculture, which considers current technological tools applied in …

Current access infrastructures are characterized by heterogeneity, low latency, high
throughput, and high computational capability, enabling massive concurrent connections …

Space-air-ground integrated networks (SAGINs) are key elements for facilitating high-speed
seamless connectivity to the devices/users in infrastructure-less environments, where the …

Agriculture represents an essential aspect of human existence, providing the sustenance
necessary for survival in the form of food and various other products. Additionally, it serves …

This article offers a comprehensive AI-centric review of deep learning in exploring landslides
with remote-sensing techniques, breaking new ground beyond traditional methodologies …

For a globally recognized plant breeding organization, manually recorded field observation
data is crucial for plant breeding decision making. However, certain phenotypic traits such …

Global Navigation Satellite Systems (GNSS) in precision agriculture (PA) represent a
cornerstone for field map**, machinery guidance, and variable rate technology. However …

The advancement of unmanned aerial vehicles (UAVs) offers precise and accurate spectral
and spatial information about crops and plays a pivotal role in precision agriculture. This …