Regulation &Governance, EarlyView.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
Correction: Kumar et al. Investigation of Unsafe Construction Site Conditions Using Deep Learning Algorithms Using Unmanned Aerial Vehicles. <i>Sensors</i> 2024, <i>24</i>, 6737. [PDF]
Sensors (Basel)Kumar S +5 more
europepmc +1 more source
Spatial Scale Gap Filling Using an Unmanned Aerial System: A Statistical Downscaling Method for Applications in Precision Agriculture. [PDF]
Sensors (Basel), 2017 Hassan-Esfahani L +3 more
europepmc +1 more source
Assessment of corn chlorophyll content via UAV‐derived vegetative indices across growth stages
Agrosystems, Geosciences &Environment, Volume 9, Issue 4, December 2026.Abstract Traditional chlorophyll (Chl) assessment methods are labor‐intensive and spatially limited. This study evaluated unmanned aerial vehicle (UAV) multispectral imagery for nondestructive field‐scale canopy Chl estimation in corn (Zea mays L.) to support precision nutrient management.
Aarati Khulal +7 more
wiley +1 more source
Heterogeneous agricultural robots: a review of collaborative sensing and control, challenges and opportunities. [PDF]
Front Plant SciGu R +10 more
europepmc +1 more source
Utilizing high‐throughput phenotyping to identify metribuzin tolerance in winter wheat
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Plant breeders and weed scientists address weed management collaboratively by selecting for herbicide tolerance in breeding programs. Metribuzin, a Group 5 PSII‐inhibiting herbicide, is labeled for use in wheat (Triticum aestivum L.). However, application to currently available lines results in frequent, variable, and unpredictable crop injury.
Melinda Zubrod +4 more
wiley +1 more source
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.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
Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.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
Trajectory tracking control of unmanned aerial vehicle with disturbance observer and robust adaptive neural dynamic surface. [PDF]
PLoS OnePan X, Wang D, Liu Y, Nan X.
europepmc +1 more source
Phenotypic scoring of canola blackleg severity using machine learning image analysis
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.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