artificial intelligence

Climate Change and Emerging Pest Challenges

Climate change is emerging as a major challenge to horticultural production by altering temperature, rainfall, atmospheric carbon dioxide, humidity and the frequency of extreme weather events. These changes directly and indirectly influence the survival, development, reproduction, dispersal and seasonal activity of ins...

NEXT-GENERATION MICROBIAL BIOPESTICIDES FOR SUSTAINABLE AGRICULTURE: OMICS, FORMULATION AND PRECISION DELIVERY

The increasing dependence on synthetic pesticides has raised concerns regarding environmental contamination, pesticide resistance, biodiversity loss and soil health, creating an urgent need for sustainable pest management strategies. Microbial biopesticides offer an environmentally compatible alternative by utilizing b...

Graph-matching domain adaptation for cross-border cropland masks: an artificial intelligence evaluation of label-scarcity transfer failure in national agricultural statistics

Cross-border transfer of cropland masks is routinely proposed as a remedy for label scarcity in national agricultural statistics, yet the conditions under which graph-matching domain adaptation fails have not been formalised. The analysis treats label scarcity as a structural property of the target domain rather than a...

Peptide Technologies for the Detection and Remediation of Micro and Nanoplastics from Molecular Mechanisms to Artificial Intelligence Guided Design

Same Technology, Different Problems? A Comparative Bibliometric Analysis of Generative AI Across Education, Business, Communication, and Governance

The rapid diffusion of generative artificial intelligence (GenAI) has raised questions about whether this technological phenomenon is problematised differently across institutional domains. This study compares GenAI scholarship in education, business and organisational research, communication and media and public gover...

Sequential decision-theoretic triage of climate-model ensemble members under compute budgets: an artificial intelligence evaluation of tail-risk omission in national adaptation planning

National adaptation planning routinely draws on multi-model climate ensembles, yet the compute available for downscaling, bias correction and stress testing is finite, so planners must choose which ensemble members to process. the present analysis formalises that choice as a sequential decision problem in which a plann...

[Advances in the integration of artificial intelligence and electrocardiogram for heart failure risk prediction, diagnosis, and treatment].

Role of Artificial Intelligence and Internet of Things in Pest Management

Agricultural pests represent significant biological limitations to both the productivity and quality of crops as well as to their economic returns. Traditional methods of pest control usually rely on conventional and less effective techniques such as field inspections, the use of pheromone traps, monitoring weather con...

National Academies of Sciences, Engineering, and Medicine (2025). Artificial Intelligence and the Future of Work. The National Academies Press

La reseña analiza Artificial Intelligence and the Future of Work (National Academies of Sciences, Engineering, and Medicine), destacando su aportación al estudio de las transformaciones del trabajo derivadas de la inteligencia artificial. Se valora especialmente su concepción de la IA como una tecnología de propósito g...

The Formless Battlespace: Urban Combat Doctrine, Multi-Domain Kill Webs, and the Space-Quantum Nexus in the Megacity Era

Urbanisation is pulling armed conflict into dense, three-dimensional and heavily populated terrain where the classical advantages of manoeuvre warfare erode and positional, attritional dynamics return. This paper argues that the megacity must be understood as a complex adaptive system that rewards a doctrine of fluidit...

Counterfactual crop-yield attribution to seasonal forecast advisories via doubly robust estimation: an artificial intelligence evaluation of adoption-selection bias in extension targeting

Seasonal forecast advisories are promoted as a climate service that raises crop yields, yet extension agencies typically target farmers who already differ from non-adopters in ways that also affect yield. the present analysis formalises the resulting adoption-selection bias and evaluates a doubly robust estimator for c...

AI-Driven Dynamic Trust in Zero Trust Architecture: A Systematic Literature Review of Machine Learning, Federated Learning and Governance Challenges

Sophisticated cyber threats have exposed the limits of perimeter-based security models, and Zero Trust Architecture (ZTA) has increasingly been adopted as an alternative paradigm. Purpose: This Systematic Literature Review examines the integration of Artificial Intelligence (AI) and Machine Learning (ML) within Zero Tr...