Matches in SemOpenAlex for { <https://semopenalex.org/work/W2922351757> ?p ?o ?g. }
Showing items 1 to 89 of
89
with 100 items per page.
- W2922351757 endingPage "55" @default.
- W2922351757 startingPage "55" @default.
- W2922351757 abstract "This work examines two large data sets to demonstrate that hyperspectral proximal devices may be able to measure soil nutrient. One data set has 3189 soil samples from four hill country pastoral farms and the second data set has 883 soil samples taken from a stratified nested grid survey. These were regressed with spectra from a proximal hyperspectral device measured on the same samples. This aim was to obtain wavelengths, which may be proxy indicators for measurements of soil nutrients. Olsen P and pH were regressed with 2150 wave bands between 350 nm and 2500 nm to find wavebands, which were significant indicators. The 100 most significant wavebands for each proxy were used to regress both data sets. The regression equations from the smaller data set were used to predict the values of pH and Olsen P to validate the larger data set. The predictions from the equations from the smaller data set were as good as the regression analyses from the large data set when applied to it. This may mean that, in the future, hyperspectral analysis may be a proxy to soil chemical analysis; or increase the intensity of soil testing by finding markers of fertility cheaply in the field." @default.
- W2922351757 created "2019-03-22" @default.
- W2922351757 creator A5022525117 @default.
- W2922351757 creator A5023863039 @default.
- W2922351757 creator A5067023252 @default.
- W2922351757 creator A5070586548 @default.
- W2922351757 creator A5081857968 @default.
- W2922351757 date "2019-03-15" @default.
- W2922351757 modified "2023-09-25" @default.
- W2922351757 title "Technical Note: Regression Analysis of Proximal Hyperspectral Data to Predict Soil pH and Olsen P" @default.
- W2922351757 cites W1592341820 @default.
- W2922351757 cites W1897431659 @default.
- W2922351757 cites W1925615524 @default.
- W2922351757 cites W1973273412 @default.
- W2922351757 cites W1985518702 @default.
- W2922351757 cites W2007557216 @default.
- W2922351757 cites W2010212234 @default.
- W2922351757 cites W2025995854 @default.
- W2922351757 cites W2075435443 @default.
- W2922351757 cites W2140959043 @default.
- W2922351757 cites W2756693668 @default.
- W2922351757 cites W2758523602 @default.
- W2922351757 doi "https://doi.org/10.3390/agriculture9030055" @default.
- W2922351757 hasPublicationYear "2019" @default.
- W2922351757 type Work @default.
- W2922351757 sameAs 2922351757 @default.
- W2922351757 citedByCount "3" @default.
- W2922351757 countsByYear W29223517572019 @default.
- W2922351757 countsByYear W29223517572021 @default.
- W2922351757 crossrefType "journal-article" @default.
- W2922351757 hasAuthorship W2922351757A5022525117 @default.
- W2922351757 hasAuthorship W2922351757A5023863039 @default.
- W2922351757 hasAuthorship W2922351757A5067023252 @default.
- W2922351757 hasAuthorship W2922351757A5070586548 @default.
- W2922351757 hasAuthorship W2922351757A5081857968 @default.
- W2922351757 hasBestOaLocation W29223517571 @default.
- W2922351757 hasConcept C105795698 @default.
- W2922351757 hasConcept C142796444 @default.
- W2922351757 hasConcept C152877465 @default.
- W2922351757 hasConcept C159078339 @default.
- W2922351757 hasConcept C159390177 @default.
- W2922351757 hasConcept C159750122 @default.
- W2922351757 hasConcept C18903297 @default.
- W2922351757 hasConcept C205649164 @default.
- W2922351757 hasConcept C2780148112 @default.
- W2922351757 hasConcept C33923547 @default.
- W2922351757 hasConcept C38774213 @default.
- W2922351757 hasConcept C39432304 @default.
- W2922351757 hasConcept C58489278 @default.
- W2922351757 hasConcept C62649853 @default.
- W2922351757 hasConcept C83546350 @default.
- W2922351757 hasConcept C86803240 @default.
- W2922351757 hasConceptScore W2922351757C105795698 @default.
- W2922351757 hasConceptScore W2922351757C142796444 @default.
- W2922351757 hasConceptScore W2922351757C152877465 @default.
- W2922351757 hasConceptScore W2922351757C159078339 @default.
- W2922351757 hasConceptScore W2922351757C159390177 @default.
- W2922351757 hasConceptScore W2922351757C159750122 @default.
- W2922351757 hasConceptScore W2922351757C18903297 @default.
- W2922351757 hasConceptScore W2922351757C205649164 @default.
- W2922351757 hasConceptScore W2922351757C2780148112 @default.
- W2922351757 hasConceptScore W2922351757C33923547 @default.
- W2922351757 hasConceptScore W2922351757C38774213 @default.
- W2922351757 hasConceptScore W2922351757C39432304 @default.
- W2922351757 hasConceptScore W2922351757C58489278 @default.
- W2922351757 hasConceptScore W2922351757C62649853 @default.
- W2922351757 hasConceptScore W2922351757C83546350 @default.
- W2922351757 hasConceptScore W2922351757C86803240 @default.
- W2922351757 hasIssue "3" @default.
- W2922351757 hasLocation W29223517571 @default.
- W2922351757 hasOpenAccess W2922351757 @default.
- W2922351757 hasPrimaryLocation W29223517571 @default.
- W2922351757 hasRelatedWork W2057237001 @default.
- W2922351757 hasRelatedWork W2069602731 @default.
- W2922351757 hasRelatedWork W2080727847 @default.
- W2922351757 hasRelatedWork W2111070070 @default.
- W2922351757 hasRelatedWork W2119696881 @default.
- W2922351757 hasRelatedWork W2438658241 @default.
- W2922351757 hasRelatedWork W2557564227 @default.
- W2922351757 hasRelatedWork W2922351757 @default.
- W2922351757 hasRelatedWork W3185864105 @default.
- W2922351757 hasRelatedWork W2189286076 @default.
- W2922351757 hasVolume "9" @default.
- W2922351757 isParatext "false" @default.
- W2922351757 isRetracted "false" @default.
- W2922351757 magId "2922351757" @default.
- W2922351757 workType "article" @default.