Results 141 to 150 of about 14,844 (255)

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

open access: yesThe 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   +8 more
wiley   +1 more source

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

open access: yesThe 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   +8 more
wiley   +1 more source

Evaluation of LiDAR‐based canopy trait estimation in Midwestern row crops

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Stand count, the number of plants per unit ground area, and leaf area index (LAI), the ratio of leaf area to ground area, are critical traits for crop research but are traditionally measured using labor‐intensive methods. While new sensing technologies are being developed, quantifying improvement in measurement efficiency and data quality ...
Matthew H. Siebers   +4 more
wiley   +1 more source

Multi-UAV Path Planning Algorithm Based on BINN-HHO. [PDF]

open access: yesSensors (Basel), 2022
Li S   +5 more
europepmc   +1 more source

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