Results 171 to 180 of about 48,962 (279)

Above-Ground Biomass Estimation in Oats Using UAV Remote Sensing and Machine Learning. [PDF]

Sensors (Basel), 2022
Sharma P, Leigh L, Chang J, Maimaitijiang M, Caffé M.   +4 more
europepmc   +1 more source

Drone‐based phenotyping of maize for multiple disease resistance and yield in breeding field trials

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Improving selection for multiple disease resistance (MDR) and yield in maize (Zea mays L.) requires high‐throughput, objective phenotyping tools, particularly under field conditions where several foliar diseases co‐occur. We evaluated drone‐based multispectral vegetation indices (VIs) for predicting resistance to northern leaf blight (NLB ...
Danilo E. Moreta, Nina Blahut, Nicholas Kaczmar, Judith M. Kolkman, Gary Bergstrom, Margaret Smith, Michael A. Gore, Rebecca Nelson   +7 more
wiley   +1 more source

A Detection Method of Pine Wilt Disease Based on Improved YOLOv11 With UAV Remote Sensing Images. [PDF]

Ecol Evol
Shi H, Zhu Z, Feng X, Xie Y, Guo H, Xue P, Wang Y.   +6 more
europepmc   +1 more source

Transmission Line Vibration Damper Detection Using Deep Neural Networks Based on UAV Remote Sensing Image. [PDF]

Sensors (Basel), 2022
Chen W, Li Y, Zhao Z.
europepmc   +1 more source

Quantifying Southern Sea Otter (Enhydra lutris nereis) Reactions to a Quadcopter Drone in Central California

Marine Mammal Science, Volume 42, Issue 3, July 2026.
ABSTRACT Drones are useful for wildlife research and management, but they can cause disturbance and harassment to wildlife. Sea otters (Enhydra lutris) are candidates for drone‐based observation and monitoring but are vulnerable to disturbance. No studies have evaluated drone effects on sea otter behavior, but based on prior disturbance studies, we ...
Colleen Young, Julie Yee, Gena Bentall, Michelle Staedler, Lilian Carswell, Margaret Daly   +5 more
wiley   +1 more source

Application of UAV remote sensing for vegetation identification: a review and meta-analysis. [PDF]

Front Plant Sci
Chang B, Li F, Hu Y, Yin H, Feng Z, Zhao L.   +5 more
europepmc   +1 more source

Convolutional Neural Networks to Estimate Dry Matter Yield in a Guineagrass Breeding Program Using UAV Remote Sensing. [PDF]

Sensors (Basel), 2021
de Oliveira GS, Marcato Junior J, Polidoro C, Osco LP, Siqueira H, Rodrigues L, Jank L, Barrios S, Valle C, Simeão R, Carromeu C, Silveira E, André de Castro Jorge L, Gonçalves W, Santos M, Matsubara E.   +15 more
europepmc   +1 more source

Exploring Progesterone Levels and Scaled Mass Index as Predictors of Pregnancy in Free‐Ranging Belugas

Marine Mammal Science, Volume 42, Issue 3, July 2026.
ABSTRACT Monitoring pregnancy rates can provide vital information regarding a population's viability and trajectory. This study combined drone‐based photogrammetry with biopsy darting to determine if the Scaled Mass Index (SMI) estimated from aerial images can be used to identify pregnant, free‐ranging St.
Meredith Sherrill, Limoilou‐Amélie Renaud, Nicholas Kellar, Robert Michaud, Véronique Lesage, Jonathan Verreault   +5 more
wiley   +1 more source

Retraction Note: Forest pest monitoring and early warning using UAV remote sensing and computer vision techniques. [PDF]

Sci Rep
Li X, Wang A.
europepmc   +1 more source

Weed Density Extraction Based on Few-Shot Learning Through UAV Remote Sensing RGB and Multispectral Images in Ecological Irrigation Area. [PDF]

Front Plant Sci, 2021
Wang S, Han Y, Chen J, He X, Zhang Z, Liu X, Zhang K.   +6 more
europepmc   +1 more source