Results 121 to 130 of about 63,907 (256)

MODEL OF AUTOMATED PROCESSING OF AIR RECONNAISSANCE DATA IN THE CONDITIONS OF APPLICATION OF UNMANNED AVIATION SYSTEMS

Збірник наукових праць Харківського національного університету Повітряних Сил
Possible ways of increasing the autonomy of unmanned aerial vehicles in the conditions of use for reconnais- sance purposes are being investigated. The possibility of integrating advanced information technologies into the formation and processing of ...
I.M. Tупиця , В.М. Кривонос , С.О Кібіткін , Б.М. Іващук , О.Ю. Дроль , В.А. Штанько   +5 more
doaj   +1 more source

Microbial mats and thalassinid shrimp: Spatial and geochemical interactions in a modern intertidal environment

Sedimentology, EarlyView.
ABSTRACT This research examines the spatial and geochemical interactions between mat‐forming microorganisms and thalassinid shrimp in an intertidal flat situated on the shores of Willapa Bay, Washington, USA. The study serves as a contemporary analog for the relationships between mats and burrowing organisms in deep time.
Brette S. Harris, Sara K. Biddle, Maya T. LaGrange, Scott Melnyk, Cody N. Lazowski, Jenifer S. Spence, Daniel Alessi, Jeffrey Kavanaugh, Kurt O. Konhauser, Murray K. Gingras   +9 more
wiley   +1 more source

Modern microbial landscape: Aerial mapping of microbially induced sedimentary structures forming in a coastal sabkha

Sedimentology, EarlyView.
ABSTRACT Microbially induced sedimentary structures (MISS) are considered important for understanding primitive life on Earth and for guiding the search for life on other planets. These structures are regarded as macroscopic fossils of early communities of unicellular organisms that did not produce skeletons or shells. In this study, field observations
Tomaso R. R. Bontognali, Axel Bouquety, Ottaviano Rüsch, Brigitte Kuhn, Zulfa Al Disi, Fadhil Sadooni, Nikolaus Kuhn, Jean‐Luc Josset, Hamad Al‐Saad Al‐Kuwari   +8 more
wiley   +1 more source

FFG-YOLO: Improved YOLOv8 for Target Detection of Lightweight Unmanned Aerial Vehicles

Applied System Innovation
Target detection is essential in intelligent transportation and autonomous control of unmanned aerial vehicles (UAVs), with single-stage detection algorithms used widely due to their speed.
Tongxu Wang, Sizhe Yang, Ming Wan, Yanqiu Liu   +3 more
doaj   +1 more source

Using unmanned aerial vehicles (drones) to improve access to blood in low‐ and middle‐income countries: Current challenges and opportunities

Vox Sanguinis, EarlyView.
Abstract Blood transfusion is life‐saving for patients in emergencies, but low‐ and middle‐income countries (LMICs) often face a severe shortage of banked blood. Establishing blood banks in rural areas presents substantial logistical and economic challenges for many LMICs.
Suvro Sankha Datta, Ritwick Mondal, Shramana Deb, Giuseppe Tortora, Angela Pirri   +4 more
wiley   +1 more source

The use of Unmanned Aerial Vehicles (UAVs) to sample the blow microbiome of small cetaceans. [PDF]

PLoS One, 2020
Centelleghe C, Carraro L, Gonzalvo J, Rosso M, Esposti E, Gili C, Bonato M, Pedrotti D, Cardazzo B, Povinelli M, Mazzariol S.   +10 more
europepmc   +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

Author Correction: Behaviour reactions of bottlenose dolphins (Tursiops truncatus) to multirotor Unmanned Aerial Vehicles (UAVs). [PDF]

Sci Rep, 2020
Fettermann T, Fiori L, Bader M, Doshi A, Breen D, Stockin KA, Bollard B.   +6 more
europepmc   +1 more source

Developing and deploying an unmanned aerial system–based phenotyping program for maturity to support soybean breeding

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Soybean [Glycine max (L.) Merr.] varieties are categorized into different relative maturity groups (MGs) that correspond to the approximate region that the variety is best adapted. Maturity is an important trait that growers consider when deciding which varieties to plant and for breeders as a covariate to compare genotypes.
Nathaniel Burner, Leonardo M. Bastos, Zenglu Li   +2 more
wiley   +1 more source

A highly accurate, low‐cost method for detecting and quantifying soybean leaf flipping phenotype during drought stress

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract A genome‐wide association study (GWAS) using digital images was conducted to delineate regions of the genome that govern the leaf flipping quantitative trait in soybean (Glycine max (L.) Merr). However, converting the digital data to numerical scores for downstream analyses was challenging.
Mohammad Anisur Rahaman, Atit Parajuli, Adnan Hossain Khan, Liang Dong, Madan K Bhattacharyya   +4 more
wiley   +1 more source