Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang +12 more
wiley +1 more source
Investigating the capability of the structure-from-motion photogrammetry on monitoring the ice surface sublimation. [PDF]
iScienceLiu J +5 more
europepmc +1 more source
Conventional total station versus digital photogrammetry in land development applications
, 2017 In land development, the need for up to date planimetric plans is emphasised. Numerous techniques can be used to produce these plans such as traditional photogrammetry, satellite photogrammetry and terrestrial surveying using total station or Global ...
Mat Amin, Zulkarnaini +3 more
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Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Unmanned aerial systems (UAS) equipped with multispectral and RGB sensors offer valuable data for monitoring crop health and assessing disease severity. However, the wide range of available photogrammetric software complicates software selection for high‐throughput plant phenotyping.
Sanju Shrestha +3 more
wiley +1 more source
AI-Based 3D Modeling Strategies for Civil Infrastructure: Quantitative Assessment of NeRF and Photogrammetry. [PDF]
Sensors (Basel)Atencio E +4 more
europepmc +1 more source
Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review
The Plant Phenome Journal, Volume 9, Issue 1, December 2026.Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe +3 more
wiley +1 more source
A Proof-of-Concept Free-Flight Photogrammetric Framework Based on Monocular Vision and Sensor-Group Displacement Fusion. [PDF]
Sensors (Basel)Lu E, Wan X, Deng W, Li X.
europepmc +1 more source
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 +4 more
wiley +1 more source
Seafloor vegetation map of man-made boulders reef by underwater photogrammetry: Suggestions for site selections in macroalgal bed creations. [PDF]
PLoS OneKanki T, Sano W, Sannoh M, Kan H.
europepmc +1 more source
The Anatomical Record, Volume 309, Issue 7, Page 1749-1765, July 2026.Abstract Dicynodonts (Anomodontia: Dicynodontia) were one of the main groups of terrestrial tetrapods in Permian and Triassic faunas. In Brazil, the genus Dinodontosaurus is one of the most common tetrapod taxon in the Triassic Santa Maria Supersequence. This genus has a complex taxonomic history and is represented in the Triassic of both Argentina and
Julia Lara Rodrigues de Souza +5 more
wiley +1 more source