Results 211 to 220 of about 115,291 (290)

Advances in Unmanned Aerial Vehicle-Based Sensing and Imaging. [PDF]

Sensors (Basel)
Antonakakis M, Zervakis M.
europepmc   +1 more source

Predicting soybean aboveground biomass in the short‐season region of Canada: Integrating vegetative cover and canopy height

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Aboveground biomass (ABM) is a key determinant of soybean (Glycine max [L.] Merr.) yield and can be used to select for stress‐resilient cultivars. The objective of our study was to develop a predictive model describing ABM in short‐season soybean from vegetative cover (VC) and canopy height (CH).
Malcolm J. Morrison, Thomas L. Hotte, A. Claire Gahagan, Nathaniel W. W. Ort, Elroy R. Cober   +4 more
wiley   +1 more source

Control of a fixed wing unmanned aerial vehicle using a robust fractional order controller. [PDF]

Sci Rep
Metekia EW, Asfaw WA, Abdissa CM, Lemma LN.   +3 more
europepmc   +1 more source

UAV‐based RGB and multispectral vegetation indices as alternatives to light box‐derived dark green color index for turfgrass color assessment

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Traditionally, turfgrass color has been assessed through visual ratings or light box‐based digital image analysis, methods that are either subjective or labor‐intensive. In this study, we evaluated the potential of unmanned aerial vehicle (UAV)‐based multispectral and red‐green‐blue (RGB) imagery as a high‐throughput alternative for capturing ...
Ved Parkash, Phillip L. Vines, Sameer Khanal, Jing Zhang, Joann Conner, Susana R. Milla‐Lewis, Nino Brown, David Jespersen, Jodi Johnson‐Maynard, Brian M. Schwartz   +9 more
wiley   +1 more source

Unmanned aerial vehicle routing based on frog-leaping optimization algorithm. [PDF]

Sci Rep
Maleki F, Jamali MAJ, Heidari A.
europepmc   +1 more source

Unmanned aerial vehicle–based spatiotemporal phenotyping and growth modeling for forecasting potato yield

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Monitoring spatial variations in plant growth and forecasting yield before harvest provides valuable insights for optimizing agronomic decision‐making in potato (Solanum tuberosum L.) cultivation. Although unmanned aerial vehicle (UAV)‐based remote sensing has recently enabled the development of tuber fresh weight (TW) estimation models, their
Yuto Imachi, Kunihiro Tanaka, Minato Miyauchi, Kyosuke Miyamoto, Masahiro Okada, Pieter M. Blok, Wei Guo, Hiroyoshi Iwata   +7 more
wiley   +1 more source

<i>Erannis jacobsoni</i> disturbance detection based on unmanned aerial vehicle red edge spectral features. [PDF]

Front Plant Sci
Bai L, Huang X, Dashzebeg G, Ariunaa M, Yin S, Bao Y, Bao G, Tong S, Dorjsuren A, Davaadorj E.   +9 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 New Algorithm for Visual Navigation in Unmanned Aerial Vehicle Water Surface Inspection. [PDF]

Sensors (Basel)
Han J, Gao X, Song L, Fang J, Tao Y, Deng H, Yao J.   +6 more
europepmc   +1 more source

Swarms of Unmanned Aerial Vehicles – A Survey

Journal of industrial information integration, 2019
Tahir Anam, Plosila Juha, Haghbayan Mohammadhashem, Toivonen Hannu, Böling Jari   +4 more
openaire   +2 more sources