FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912994373> ?p ?o ?g. }

• W2912994373 endingPage "75" @default.
• W2912994373 startingPage "68" @default.
• W2912994373 abstract "Determining soil salt content (SSC) and soil surface roughness (SSR) rapidly and simply is important for various environmental and agricultural applications. Recently, increasing attention has been focused on the color analysis to detect soil properties. Based on the fact that soil attributes affect soil color, this study investigated the feasibility of utilizing digital camera observations as an alternative for SSC and SSR estimation. In this study, field measurements were first conducted in the farmlands and wastelands in the inland river basin of Northwest China, and soil photographs were captured within the random-selected spots that were sampled for SSC and SSR measurements. Then, four color components, red (R), green (G), blue (B) and gray (Gr), were extracted from the raw photograph, and the digital number (DN) value of each pixel in each color component was calculated and counted. Each number of DN value was differently correlated with SSC and SSR. To find out certain DN ranges that are mostly sensitive to the variation of SSC and SSR, the whole DN value range (0–255) was separated equably into several partitions (from 2 to 10, 16, and 32), and the pixel number of each partition were recounted while the portion of every partition was computed for all pixels in each color component. After that, soil properties and these portions of four color components were regressed by partial least squares regression to find the best partitions according to the best determining coefficient (R2) and the ratio of performance to deviation (RPD). To obtain a better fit, we trained the models based on random training dataset for 100 times. Finally, SSC inversion model was built and evaluated with the excellent accuracy (R2 = 0.90 and RPD = 3.11), and SSR model with comparatively satisfactory accuracy (R2 = 0.71 and RPD = 1.87). We conclude that it is viable to apply digital cameras to estimate SSC and SSR. Findings from this study provide a base for research that can maximize the potential of digital cameras in estimating soil attributes under field conditions." @default.
• W2912994373 created "2019-02-21" @default.
• W2912994373 creator A5057223677 @default.
• W2912994373 creator A5057422662 @default.
• W2912994373 creator A5065706451 @default.
• W2912994373 creator A5077242423 @default.
• W2912994373 date "2019-05-01" @default.
• W2912994373 modified "2023-10-16" @default.
• W2912994373 title "A digital camera as an alternative tool for estimating soil salinity and soil surface roughness" @default.
• W2912994373 cites W1970929384 @default.
• W2912994373 cites W1983384355 @default.
• W2912994373 cites W1984339822 @default.
• W2912994373 cites W1992668318 @default.
• W2912994373 cites W1993058420 @default.
• W2912994373 cites W1998053851 @default.
• W2912994373 cites W1998614242 @default.
• W2912994373 cites W1998843090 @default.
• W2912994373 cites W2002948762 @default.
• W2912994373 cites W2020456298 @default.
• W2912994373 cites W2023199104 @default.
• W2912994373 cites W2025911171 @default.
• W2912994373 cites W2028604722 @default.
• W2912994373 cites W2037957915 @default.
• W2912994373 cites W2043085716 @default.
• W2912994373 cites W2043795286 @default.
• W2912994373 cites W2045249446 @default.
• W2912994373 cites W2045559140 @default.
• W2912994373 cites W2052350153 @default.
• W2912994373 cites W2054325787 @default.
• W2912994373 cites W2056774953 @default.
• W2912994373 cites W2061105079 @default.
• W2912994373 cites W2063581492 @default.
• W2912994373 cites W2069728942 @default.
• W2912994373 cites W2073503722 @default.
• W2912994373 cites W2076245587 @default.
• W2912994373 cites W2079590547 @default.
• W2912994373 cites W2083907679 @default.
• W2912994373 cites W2090609684 @default.
• W2912994373 cites W2096650374 @default.
• W2912994373 cites W2113418007 @default.
• W2912994373 cites W2133013453 @default.
• W2912994373 cites W2158863190 @default.
• W2912994373 cites W2160082592 @default.
• W2912994373 cites W2160619163 @default.
• W2912994373 cites W2169018605 @default.
• W2912994373 cites W2171679746 @default.
• W2912994373 cites W2410842896 @default.
• W2912994373 cites W2546741531 @default.
• W2912994373 cites W28954214 @default.
• W2912994373 cites W4245932632 @default.
• W2912994373 cites W984651711 @default.
• W2912994373 doi "https://doi.org/10.1016/j.geoderma.2019.01.028" @default.
• W2912994373 hasPublicationYear "2019" @default.
• W2912994373 type Work @default.
• W2912994373 sameAs 2912994373 @default.
• W2912994373 citedByCount "11" @default.
• W2912994373 countsByYear W29129943732020 @default.
• W2912994373 countsByYear W29129943732022 @default.
• W2912994373 countsByYear W29129943732023 @default.
• W2912994373 crossrefType "journal-article" @default.
• W2912994373 hasAuthorship W2912994373A5057223677 @default.
• W2912994373 hasAuthorship W2912994373A5057422662 @default.
• W2912994373 hasAuthorship W2912994373A5065706451 @default.
• W2912994373 hasAuthorship W2912994373A5077242423 @default.
• W2912994373 hasConcept C141650431 @default.
• W2912994373 hasConcept C154945302 @default.
• W2912994373 hasConcept C159390177 @default.
• W2912994373 hasConcept C159750122 @default.
• W2912994373 hasConcept C160633673 @default.
• W2912994373 hasConcept C205649164 @default.
• W2912994373 hasConcept C2779705975 @default.
• W2912994373 hasConcept C33923547 @default.
• W2912994373 hasConcept C39432304 @default.
• W2912994373 hasConcept C41008148 @default.
• W2912994373 hasConcept C62649853 @default.
• W2912994373 hasConceptScore W2912994373C141650431 @default.
• W2912994373 hasConceptScore W2912994373C154945302 @default.
• W2912994373 hasConceptScore W2912994373C159390177 @default.
• W2912994373 hasConceptScore W2912994373C159750122 @default.
• W2912994373 hasConceptScore W2912994373C160633673 @default.
• W2912994373 hasConceptScore W2912994373C205649164 @default.
• W2912994373 hasConceptScore W2912994373C2779705975 @default.
• W2912994373 hasConceptScore W2912994373C33923547 @default.
• W2912994373 hasConceptScore W2912994373C39432304 @default.
• W2912994373 hasConceptScore W2912994373C41008148 @default.
• W2912994373 hasConceptScore W2912994373C62649853 @default.
• W2912994373 hasFunder F4320321001 @default.
• W2912994373 hasFunder F4320322298 @default.
• W2912994373 hasLocation W29129943731 @default.
• W2912994373 hasOpenAccess W2912994373 @default.
• W2912994373 hasPrimaryLocation W29129943731 @default.
• W2912994373 hasRelatedWork W2048547554 @default.
• W2912994373 hasRelatedWork W2081397537 @default.
• W2912994373 hasRelatedWork W2108890442 @default.
• W2912994373 hasRelatedWork W2166770994 @default.
• W2912994373 hasRelatedWork W2380309714 @default.
• W2912994373 hasRelatedWork W2394061187 @default.
• W2912994373 hasRelatedWork W2799569601 @default.

• next