Results 211 to 220 of about 129,505 (245)

UAV-Based Thermal Inversion for Canopy Temperature Retrieval and Precision Irrigation. [PDF]

Sensors (Basel)
Li H, Li W, Liu C, Ji L, Liu Z, Agarwal RK.   +5 more
europepmc   +1 more source

High‐throughput unmanned aerial vehicle phenomics and machine learning enables accurate early single‐plant biomass prediction in lettuce

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Lettuce (Lactuca sativa L.) exhibits pronounced genotype and environment‐dependent growth variation, making early, non‐destructive single‐plant biomass prediction critical for breeding. However, harvest‐based measurements fail to capture growth dynamics.
Görkem Eren Özdemir, Ahmet Rıza Ağır, Burak Aktürk, Nida Selen Baysal, Adem Dogan, Aaron J. DeSalvio, Mustafa A. Arik, Yasin Topcu, Alper Adak   +8 more
wiley   +1 more source

Interference-aware optimization of three-tier RIS-enhanced hierarchical aerial computing: integrating terrestrial base stations for persistent 6G IoT coverage. [PDF]

Sci Rep
Diaa B, Ibrahim II, Abd El-Haleem AM, Abdelhakam MM.   +3 more
europepmc   +1 more source

High‐throughput assessment of plant stand establishment, seedling vigor, and light interception in peanut using UAV‐based RGB and multispectral imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract In peanut (Arachis hypogaea L.), plant stand establishment, seedling vigor, and canopy growth are key determinants of crop performance; yet traditional ground‐based assessment methods can be destructive, labor‐intensive, and limited in throughput.
Ved Parkash, Jessie H. Adams, Javier Rodriguez‐Sanchez, John L. Snider, Phillip L. Vines, Brian M. Schwartz, Nino Brown   +6 more
wiley   +1 more source

Joint Optimization of Packet Survivability and Aerodynamic Energy for Dynamic UAV Activation in VANETs via Deep Q-Networks. [PDF]

Sensors (Basel)
Priyadarshini P, Kumar A.
europepmc   +1 more source

Evaluation of uncrewed aerial system‐derived vegetation indices for forage trait phenomic prediction in oat–pea intercrop breeding trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Accelerating genetic gain in intercrop forage breeding requires scalable phenotyping approaches that can capture both yield and quality variation across complex genotype combinations. This study evaluated the use of uncrewed aerial system (UAS)‐derived multispectral vegetation indices (VIs) for predicting forage yield and nutritive quality in ...
Milcah Kigoni, Raysa Gevartosky, Lucas B. Munaro, Tim Mies, Luis Gehrke, Jessica Rutkoski, Juan David Arbelaez   +6 more
wiley   +1 more source

A group brain-controlled method for UAVs using a hybrid paradigm of hand movements and visual evoked potentials. [PDF]

Front Neurorobot
Li R, Bian S, Deng Y, Wei X, Yang S, Liu Y, Chen J.   +6 more
europepmc   +1 more source

Smartphone‐based proximal sensing as an accessible platform for improved physiological phenotyping

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract We tested whether smartphone‐based sensing could deliver accurate physiological traits in an accessible and low‐cost platform. A smartphone, carried by someone walking through a field, was used to generate a high‐resolution time series of images for 10 genotypes of cowpea (Vigna unguiculata L. Walp.).
Isaac K. Uyehara, Jonathan M. Berlingeri, Sassoum Lo, Margaret Riggs, Riya Desai, Kyle T. Rizzo, J. Mason Earles, Christine H. Diepenbrock, Brian N. Bailey   +8 more
wiley   +1 more source

UAV-based estimation of sunflower leaf flavonol content across multiple flight heights using RGB-multispectral canopy features and machine learning. [PDF]

Front Plant Sci
Han G, Zhao J, Song Z, Zhang Z, Lu L, Yuan J.   +5 more
europepmc   +1 more source

Gas–liquid mass transfer enhancement in the presence of nanoparticles under slug flow in microreactors

AIChE Journal, Volume 72, Issue 10, October 2026.
Abstract Nanofluids containing nanoparticles represent a promising solvent or reaction system for gas–liquid operations. Herein, the effect of nanoparticle (Al2O3 and SiO2) addition on gas–liquid slug flow pattern and mass transfer enhancement was investigated during CO2 absorption into water in microreactors.
Jie Zong, Jun Yue
wiley   +1 more source