Cyber-physical systems for agricultural automation require predictable performance across sensing, communication, edge, fog, and cloud resources, yet buffer sizes and offloading decisions are often selected empirically. This paper presents a five-tie...
Geospatial artificial intelligence (GeoAI) offers opportunities to translate heterogeneous agricultural observations into site-specific management decisions. This systematic review synthesizes literature published in 2019–2026, identified throu...
Soil variability within agricultural fields is rarely captured by conventional management, which applies inputs uniformly regardless of underlying spatial heterogeneity. This exploratory study evaluated whether freely available Sentinel-2 multispectr...
Artificial intelligence (AI) has emerged as a transformative tool for plant health monitoring, offering new opportunities for scalable, timely, and data-driven pest and disease management in agriculture. This review provides a comprehensive synthesis...
Global food systems are under increasing pressure due to population growth, with food demand projected to rise substantially by the mid-century [...]
