ArticleApplications in plant sciences2026
Mapping
Article in Applications in plant sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Premise: Road verges function as refuges for semi-natural species, but they can also facilitate the spread of non-native plants such as Methods: We developed and evaluated a UAV-based workflow to detect and map lupine presence and density along roads. Red-green-blue (RGB) imagery was processed into orthomosaics and classified using object-based and pixel-based approaches with support vector machines and random forest algorithms under multiple classification schemes. Results: The highest accuracy (88.8%) was achieved using pixel-based random forest classification and a simplified scheme. Flowering purple lupine showed strong classification performance (F1 score = 96.3%), while early-stage greenish individuals were harder to detect (74.5%). Spatial heatmap comparison revealed low overestimation (1.79%) and underestimation (1.47%). Discussion: Assuming optimal phenological conditions, UAV-based mapping provides a scalable and cost-efficient complement to ground surveys for the management of
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.