Results 211 to 220 of about 49,392 (306)
ABSTRACT Lethal autonomous weapon systems (LAWS), while offering strategic advantages in warfare, pose significant ethical, legal, and security risks, especially for countries in the Global South. This article examines how a philosophical perspective, rooted in African ethical and political thought, can enrich regional and global debates on regulating ...
Ezenwa E. Olumba +3 more
wiley +1 more source
Temporal-aware transformer networks for state of charge multi-output prediction in unmanned aerial vehicle lithium-ion batteries. [PDF]
Hua M +6 more
europepmc +1 more source
ABSTRACT Background and Objectives Mosquitoes of the genus Aedes, including but not limited to Aedes aegypti, are major vectors of arboviruses such as dengue, Zika and other related diseases. Their global expansion is driven by climate change, globalisation, urbanisation and human mobility.
Ana Izabel Passarella Teixeira +8 more
wiley +1 more source
Precise Image Color Correction Based on Dual Unmanned Aerial Vehicle Cooperative Flight. [PDF]
Lu X, Xie J, Yan J, Zhou J, Cen H.
europepmc +1 more source
Abstract Water scarcity is a major threat to crop production and quality. Improving drought tolerance through variety selection requires a deeper understanding of plant ecophysiological responses, but large‐scale phenotyping remains a bottleneck. This study assessed the potential of high‐throughput tools (spectroscopy and poro‐fluorometry) to predict ...
Eva Coindre +13 more
wiley +1 more source
An Efficient Algorithm for Small Livestock Object Detection in Unmanned Aerial Vehicle Imagery. [PDF]
Chen W, Wang D, Xie X.
europepmc +1 more source
A Bioethical Assessment of the Environmental Impacts of War
Bioethics, EarlyView.
Funda Gülay Kadioglu
wiley +1 more source
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
A smart nail platform for wireless subsoil health monitoring via unmanned aerial vehicle-assisted radio frequency interrogation. [PDF]
Ramesh Y +7 more
europepmc +1 more source
Phenotypic scoring of canola blackleg severity using machine learning image analysis
Abstract Canola blackleg is a fungal disease that causes significant yield loss and plant death of infected canola (Brassica napus L., Brassica rapa L., Brassica juncea L.) fields worldwide. One of the most effective methods for controlling blackleg is through the cultivation of resistant varieties.
Qiao Hu +15 more
wiley +1 more source

