Results 51 to 60 of about 4,176 (173)

A high‐altitude thermal infrared method for estimating moose abundance and demography in Rocky Mountain National Park, USA

Wildlife Biology, EarlyView.
Resource managers require accurate estimates of large herbivore abundance and demography to maintain ecological integrity. Common methods to count these species, including observations from low altitude helicopter flights, may conflict with other protected area management objectives and struggle to produce precise estimates for more cryptic species. To
Hanem G. Abouelezz, N. Thompson Hobbs
wiley   +1 more source

Estimating red deer Cervus elaphus population density using drones in a steep and rugged terrain

Wildlife Biology, EarlyView.
Precise and accurate information about population density, crucial for wildlife management, is difficult to obtain for elusive species living in dense forests or steep and inaccessible terrain. Using unmanned aerial vehicles (UAVs), we developed a method for obtaining absolute population estimates of ungulates living in steep, rugged, and partly ...
Julie Bommerlund, Torbjørn Ergon, Simon Filhol, Atle Mysterud   +3 more
wiley   +1 more source

Experimental assessment of large mammal population estimates from airborne thermal videography

Wildlife Biology, EarlyView.
Wildlife resource management requires reliable, fast, and affordable methods of surveying wildlife populations to develop and adaptively adjust policies. Thermal video from drones can yield high rates of detection over large areas with relative speed and safety.
Julia S. McElhinny, Gregory D. Larsen, Maxwell Messinger, Chad H. Newbolt, Andrew Whitworth, Stephen S. Ditchkoff, Miles R. Silman, Jared T. Beaver   +7 more
wiley   +1 more source

War as a Phenomenon of Inquiry in Management Studies

Journal of Management Studies, EarlyView.
Abstract We argue that war as a phenomenon deserves more focused attention in management. First, we highlight why war is an important and relevant area of inquiry for management scholars. We then integrate scattered conversations on war in management studies into a framework structured around three building blocks – (a) the nature of war from an ...
Fabrice Lumineau, Arne Keller
wiley   +1 more source

Law and Infrastructure: Reliability, Automation Transition, and Irregularities of “U‐Space”

Regulation &Governance, EarlyView.
ABSTRACT The European Union (EU) is making regulatory efforts to allow for the safe integration of drones into civilian airspace through automated means. Commission Implementing Regulation (EU) 2021/664 concerning unmanned traffic management (a system referred to as “U‐Space”) furthers that commitment. Accordingly, drone operators must avail themselves
Samar Abbas Nawaz
wiley   +1 more source

Regulating Autonomous Weapon Systems: Searching for African Solutions to Regional and Global Problems

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, Samuel Oyewole, Christopher Isike, Tony Onazi Oche   +3 more
wiley   +1 more source

An unmanned aircraft system for maritime operations

International Journal of Advanced Robotic Systems, 2018
Unmanned air systems are becoming ever more important in modern societies but raise a number of unresolved problems. There are legal issues with the operation of these vehicles in nonsegregated airspace, and a pressing requirement to solve these issues ...
Mario Monteiro Marques, Victor Lobo, R Batista, J Oliveira, A Pedro Aguiar, J Estrela Silva, J Borges de Sousa, Maria de Fátima Nunes, Ricardo Adriano Ribeiro, Alexandre Bernardino, Jorge Salvador Marques   +10 more
doaj   +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, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

Estimating Drone Visual Line-of-Sight Distance Using Machine Learning Approaches

Aerospace
In this study, we conducted flight tests to establish a clear standard for the visual line-of-sight (VLOS) distance of drones using machine learning models, as outlined in the Aviation Safety Act. Various machine learning models were applied and compared
Gyoubeom Kim, Inje Cho, Junghoi Jin, Keecheon Kim, Shinui Kim, Heejeong Choi   +5 more
doaj   +1 more source

Automatic measurement of rice tiller angle from unmanned aerial vehicle images

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Rice (Oryza sativa L.) tiller angle is an important trait that influences plant architecture, canopy light interception, and yield potential. In this study, we proposed a deep learning‐based pipeline for automated measurement of rice tiller angle and plant base width using unmanned aerial vehicle (UAV) imagery.
Tan‐Hanh Pham, Yubin Yang, Jing Zhang, Sanai Li, Stanley Omar P. B. Samonte, Fugen Dou, Darlene Sanchez, Lloyd T. Wilson, Tanumoy Bera, Jing Wang, Kim‐Doang Nguyen   +10 more
wiley   +1 more source