FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2770281099> ?p ?o ?g. }

• W2770281099 endingPage "174" @default.
• W2770281099 startingPage "165" @default.
• W2770281099 abstract "Field-based next generation phenotyping has become of great interest to plant breeders and agricultural researchers in recent years, particularly for circumventing destructive or impractical phenotyping methods commonly used for certain traits. The non-destructive estimation of one such trait, above ground biomass (AGB), has been investigated repeatedly using 2D imagery, though little research has been conducted on 3D methods. The aims of the current study were to (i) investigate the use of readily-available consumer level digital cameras and software to estimate AGB, canopy height (CH) and harvest index (HI) of wheat plots, (ii) investigate the suitability of this data as a replacement for destructive sampling methods within a wheat breeding programme, and (iii) identify the point cloud density required for accurate estimation of AGB. To achieve this, a small plot trial of a single wheat cultivar was conducted in an irrigated nursery, at Roseworthy, South Australia. At physiological maturity plots were measured for CH and whole plots were harvested to attain AGB and threshed to measure grain yield and calculate HI. Prior to harvesting each plot was imaged using a digital camera, with these images being processed into 3D point clouds, which were subsequently used to estimate plot volume and CH. Strong correlations were observed between actual measurements of AGB, CH and HI to those estimated from point clouds. Images were processed in subset batches to determine an optimal number of images for processing. Stronger correlations between AGB and plot volume were observed when more images were processed, though as few as 48 images provided sufficiently accurate estimates of AGB. These methods were shown to be effective at estimating AGB, CH and HI and could be adopted by small scale research programmes. This study shows that a higher-throughput adaptation of this photogrammetry method could be used in phenotype intensive research such as plant breeding programmes." @default.
• W2770281099 created "2017-12-04" @default.
• W2770281099 creator A5058627981 @default.
• W2770281099 creator A5065867245 @default.
• W2770281099 creator A5069441491 @default.
• W2770281099 creator A5078208818 @default.
• W2770281099 date "2018-02-01" @default.
• W2770281099 modified "2023-10-16" @default.
• W2770281099 title "Photogrammetry for the estimation of wheat biomass and harvest index" @default.
• W2770281099 cites W1096860570 @default.
• W2770281099 cites W1200922351 @default.
• W2770281099 cites W1745584652 @default.
• W2770281099 cites W1980375943 @default.
• W2770281099 cites W1991739869 @default.
• W2770281099 cites W1994909256 @default.
• W2770281099 cites W1998943389 @default.
• W2770281099 cites W2002730835 @default.
• W2770281099 cites W2011253871 @default.
• W2770281099 cites W2016718980 @default.
• W2770281099 cites W2025226910 @default.
• W2770281099 cites W2027563724 @default.
• W2770281099 cites W2027724118 @default.
• W2770281099 cites W2035251667 @default.
• W2770281099 cites W2046533454 @default.
• W2770281099 cites W2046918677 @default.
• W2770281099 cites W2054797258 @default.
• W2770281099 cites W2064636932 @default.
• W2770281099 cites W2074747122 @default.
• W2770281099 cites W2074821737 @default.
• W2770281099 cites W2087991080 @default.
• W2770281099 cites W2093385295 @default.
• W2770281099 cites W2094817170 @default.
• W2770281099 cites W2112872473 @default.
• W2770281099 cites W2113405395 @default.
• W2770281099 cites W2118476033 @default.
• W2770281099 cites W2145911219 @default.
• W2770281099 cites W2146681646 @default.
• W2770281099 cites W2148416453 @default.
• W2770281099 cites W2157096137 @default.
• W2770281099 cites W2272083780 @default.
• W2770281099 cites W2279566557 @default.
• W2770281099 cites W2513851811 @default.
• W2770281099 cites W563406589 @default.
• W2770281099 doi "https://doi.org/10.1016/j.fcr.2017.11.024" @default.
• W2770281099 hasPublicationYear "2018" @default.
• W2770281099 type Work @default.
• W2770281099 sameAs 2770281099 @default.
• W2770281099 citedByCount "65" @default.
• W2770281099 countsByYear W27702810992018 @default.
• W2770281099 countsByYear W27702810992019 @default.
• W2770281099 countsByYear W27702810992020 @default.
• W2770281099 countsByYear W27702810992021 @default.
• W2770281099 countsByYear W27702810992022 @default.
• W2770281099 countsByYear W27702810992023 @default.
• W2770281099 crossrefType "journal-article" @default.
• W2770281099 hasAuthorship W2770281099A5058627981 @default.
• W2770281099 hasAuthorship W2770281099A5065867245 @default.
• W2770281099 hasAuthorship W2770281099A5069441491 @default.
• W2770281099 hasAuthorship W2770281099A5078208818 @default.
• W2770281099 hasConcept C101000010 @default.
• W2770281099 hasConcept C105795698 @default.
• W2770281099 hasConcept C115540264 @default.
• W2770281099 hasConcept C117455697 @default.
• W2770281099 hasConcept C121332964 @default.
• W2770281099 hasConcept C131979681 @default.
• W2770281099 hasConcept C154945302 @default.
• W2770281099 hasConcept C167651023 @default.
• W2770281099 hasConcept C18903297 @default.
• W2770281099 hasConcept C197321923 @default.
• W2770281099 hasConcept C20556612 @default.
• W2770281099 hasConcept C205649164 @default.
• W2770281099 hasConcept C33923547 @default.
• W2770281099 hasConcept C39432304 @default.
• W2770281099 hasConcept C41008148 @default.
• W2770281099 hasConcept C62520636 @default.
• W2770281099 hasConcept C62649853 @default.
• W2770281099 hasConcept C6557445 @default.
• W2770281099 hasConcept C86803240 @default.
• W2770281099 hasConceptScore W2770281099C101000010 @default.
• W2770281099 hasConceptScore W2770281099C105795698 @default.
• W2770281099 hasConceptScore W2770281099C115540264 @default.
• W2770281099 hasConceptScore W2770281099C117455697 @default.
• W2770281099 hasConceptScore W2770281099C121332964 @default.
• W2770281099 hasConceptScore W2770281099C131979681 @default.
• W2770281099 hasConceptScore W2770281099C154945302 @default.
• W2770281099 hasConceptScore W2770281099C167651023 @default.
• W2770281099 hasConceptScore W2770281099C18903297 @default.
• W2770281099 hasConceptScore W2770281099C197321923 @default.
• W2770281099 hasConceptScore W2770281099C20556612 @default.
• W2770281099 hasConceptScore W2770281099C205649164 @default.
• W2770281099 hasConceptScore W2770281099C33923547 @default.
• W2770281099 hasConceptScore W2770281099C39432304 @default.
• W2770281099 hasConceptScore W2770281099C41008148 @default.
• W2770281099 hasConceptScore W2770281099C62520636 @default.
• W2770281099 hasConceptScore W2770281099C62649853 @default.
• W2770281099 hasConceptScore W2770281099C6557445 @default.
• W2770281099 hasConceptScore W2770281099C86803240 @default.
• W2770281099 hasFunder F4320320420 @default.

• next