Results 231 to 240 of about 1,910,400 (338)

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

LINA's testing infrastructure enables AI to take-off in unmanned aerial vehicles (UAVs). [PDF]

Front Robot AI
Bolck HA, Vollenweider J, Merkli F, Barden A, Jajcay M, Trempeck P, Rafailović B, Fraefel R, Lenhart PM, Chavarriaga R, Renold M, Bogojeska J, Stadelmann T, Guillaume M.   +13 more
europepmc   +1 more source

Robustness of high‐throughput prediction of leaf ecophysiological traits using near infrared spectroscopy and poro‐fluorometry

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, Romain Boulord, Laurine Chir, Virgilio Freitas, Maxime Ryckewaert, Thomas Laisné, Virginie Bouckenooghe, Maëlle Lis, Llorenç Cabrera‐Bosquet, Agnès Doligez, Thierry Simonneau, Benoît Pallas, Aude Coupel‐Ledru, Vincent Segura   +13 more
wiley   +1 more source

Low-Light Image Segmentation on Edge Computing System. [PDF]

Sensors (Basel)
Choi SC, Kim SY.
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

Particle Filtering-Based In-Flight Icing Detection for Unmanned Aerial Vehicles. [PDF]

Sensors (Basel)
Souanef T, Tadjine M, Horri N, Chaabeni I, Boulassel B.   +4 more
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, Sarah Anderson, Stuart Gardner, Thomas W. Ernst, Chadwick B. Koscielny, Navratan S. Bahia, Charles G. Johnson Jr, Andrew C. Jarvis, Joseph S. Hynek, Nathan Coles, Igor Falak, David R. Charne, Manuel E. Ruidiaz, Julien Linares, Anastasios Mazis, Daniel J. Stanton   +15 more
wiley   +1 more source

Plant spraying quality when used by drone-robots. [PDF]

Sci Rep
Berner B, Chojnacki J, Kukiełka L, Najser J, Kielar J, Najser T, Sergiel L.   +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

Composite disturbance observer-based sliding mode control strategies for unmanned surface vehicles with unmatched disturbances. [PDF]

iScience
Su Y, Gong C, Li Z, Zhang D.
europepmc   +1 more source