Matches in SemOpenAlex for { <https://semopenalex.org/work/W2022631288> ?p ?o ?g. }
- W2022631288 endingPage "52" @default.
- W2022631288 startingPage "43" @default.
- W2022631288 abstract "Remote sensing is proving to be a rapid non-destructive method for crop nitrogen (N) status assessment. In this study, quantitative relationships between leaf N concentration (LNC) and ground-based canopy hyperspectral reflectance in winter wheat (Triticum aestivum L.) were investigated. Winter wheat field experiments were conducted over three years at different sites (Zhengzhou, Jiaozuo and Kaifeng) in Henan, China. Different N rates and wheat cultivars were tested, and a novel double-peak area index was developed to improve the prediction accuracy and stability of LNC measurement. The common optimal red-edge spectral indices were used to monitor the LNC models. Analysis of the relationship between existing vegetable indices and LNC indicated that red-edge spectral parameters were the most sensitive in this case. Integrated linear regression of LNC with mND705 and REPle was performed to describe the dynamic nature of the LNC patterns, giving coefficients (R2) of 0.83 and 0.82, and the standard errors (SE) of 0.414 and 0.424, respectively. These novel double-peak area parameters were constructed based on analysis of the red-edge characteristics, and the optimal normalized difference of the double-peak areas based on REPig division (NDDAig), in the form of (R755 + R680 − 2 × RREPig)/(R755 − R680), were calculated and found to be highly correlated with LNC (highest R2 = 0.85; lowest SE = 0.385). When independent data were fit into the derived equations, the average relative error (RE) values were 14.1%, 13.7% and 11.5% between measured and estimated LNC using mND705, REPle and NDDAig, respectively, indicating a superior fit and better performance for NDDAig. These results suggest that the models can accurately estimate LNC in wheat, and the novel double-peak area index is more effective for modeling LNC than previously reported red-edge indices." @default.
- W2022631288 created "2016-06-24" @default.
- W2022631288 creator A5003108901 @default.
- W2022631288 creator A5029239065 @default.
- W2022631288 creator A5047985262 @default.
- W2022631288 creator A5048703949 @default.
- W2022631288 creator A5049430606 @default.
- W2022631288 creator A5056691220 @default.
- W2022631288 creator A5074395690 @default.
- W2022631288 date "2014-03-01" @default.
- W2022631288 modified "2023-10-06" @default.
- W2022631288 title "Measuring leaf nitrogen concentration in winter wheat using double-peak spectral reflection remote sensing data" @default.
- W2022631288 cites W1966368958 @default.
- W2022631288 cites W1966379566 @default.
- W2022631288 cites W1971838942 @default.
- W2022631288 cites W1972038806 @default.
- W2022631288 cites W1972226951 @default.
- W2022631288 cites W1972835639 @default.
- W2022631288 cites W1974416151 @default.
- W2022631288 cites W1974788889 @default.
- W2022631288 cites W1981099531 @default.
- W2022631288 cites W1985555755 @default.
- W2022631288 cites W1987097445 @default.
- W2022631288 cites W1991230437 @default.
- W2022631288 cites W1991602809 @default.
- W2022631288 cites W1994138453 @default.
- W2022631288 cites W1995613292 @default.
- W2022631288 cites W1999606853 @default.
- W2022631288 cites W2015613423 @default.
- W2022631288 cites W2019349143 @default.
- W2022631288 cites W2022627699 @default.
- W2022631288 cites W2027493370 @default.
- W2022631288 cites W2030891533 @default.
- W2022631288 cites W2032012583 @default.
- W2022631288 cites W2036003376 @default.
- W2022631288 cites W2036538049 @default.
- W2022631288 cites W2044023561 @default.
- W2022631288 cites W2050791221 @default.
- W2022631288 cites W2051324099 @default.
- W2022631288 cites W2056352756 @default.
- W2022631288 cites W2059349490 @default.
- W2022631288 cites W2060953582 @default.
- W2022631288 cites W2070047344 @default.
- W2022631288 cites W2075450073 @default.
- W2022631288 cites W2076143808 @default.
- W2022631288 cites W2078996926 @default.
- W2022631288 cites W2083569617 @default.
- W2022631288 cites W2084924932 @default.
- W2022631288 cites W2087486404 @default.
- W2022631288 cites W2089464686 @default.
- W2022631288 cites W2091213485 @default.
- W2022631288 cites W2097018019 @default.
- W2022631288 cites W2113121855 @default.
- W2022631288 cites W2116730904 @default.
- W2022631288 cites W2118703810 @default.
- W2022631288 cites W2128438912 @default.
- W2022631288 cites W2129483042 @default.
- W2022631288 cites W2139925058 @default.
- W2022631288 cites W2144559754 @default.
- W2022631288 cites W2158755893 @default.
- W2022631288 cites W2161765830 @default.
- W2022631288 cites W2166516660 @default.
- W2022631288 cites W2172943126 @default.
- W2022631288 cites W2248139498 @default.
- W2022631288 doi "https://doi.org/10.1016/j.fcr.2014.01.010" @default.
- W2022631288 hasPublicationYear "2014" @default.
- W2022631288 type Work @default.
- W2022631288 sameAs 2022631288 @default.
- W2022631288 citedByCount "84" @default.
- W2022631288 countsByYear W20226312882015 @default.
- W2022631288 countsByYear W20226312882016 @default.
- W2022631288 countsByYear W20226312882017 @default.
- W2022631288 countsByYear W20226312882018 @default.
- W2022631288 countsByYear W20226312882019 @default.
- W2022631288 countsByYear W20226312882020 @default.
- W2022631288 countsByYear W20226312882021 @default.
- W2022631288 countsByYear W20226312882022 @default.
- W2022631288 countsByYear W20226312882023 @default.
- W2022631288 crossrefType "journal-article" @default.
- W2022631288 hasAuthorship W2022631288A5003108901 @default.
- W2022631288 hasAuthorship W2022631288A5029239065 @default.
- W2022631288 hasAuthorship W2022631288A5047985262 @default.
- W2022631288 hasAuthorship W2022631288A5048703949 @default.
- W2022631288 hasAuthorship W2022631288A5049430606 @default.
- W2022631288 hasAuthorship W2022631288A5056691220 @default.
- W2022631288 hasAuthorship W2022631288A5074395690 @default.
- W2022631288 hasConcept C101000010 @default.
- W2022631288 hasConcept C105795698 @default.
- W2022631288 hasConcept C108597893 @default.
- W2022631288 hasConcept C112972136 @default.
- W2022631288 hasConcept C119857082 @default.
- W2022631288 hasConcept C120665830 @default.
- W2022631288 hasConcept C121332964 @default.
- W2022631288 hasConcept C127313418 @default.
- W2022631288 hasConcept C137580998 @default.
- W2022631288 hasConcept C159078339 @default.
- W2022631288 hasConcept C178790620 @default.
- W2022631288 hasConcept C185592680 @default.