Matches in SemOpenAlex for { <https://semopenalex.org/work/W2997093722> ?p ?o ?g. }
- W2997093722 endingPage "95" @default.
- W2997093722 startingPage "95" @default.
- W2997093722 abstract "Compared to conventional laboratory testing methods, crop nitrogen estimation methods based on canopy spectral characteristics have advantages in terms of timeliness, cost, and practicality. A variety of rapid and non-destructive estimation methods based on the canopy spectrum have been developed on the scale of space, sky, and ground. In order to understand the differences in estimation accuracy and applicability of these methods, as well as for the convenience of users to select the suitable technology, models for estimation of nitrogen status of winter wheat were developed and compared for three methods: drone equipped with a multispectral camera, soil plant analysis development (SPAD) chlorophyll meter, and smartphone photography. Based on the correlations between observed nitrogen status in winter wheat and related vegetation indices, green normalized difference vegetation index (GNDVI) and visible atmospherically resistant index (VARI) were selected as the sensitive vegetation indices for the drone equipped with a multispectral camera and smartphone photography methods, respectively. The correlation coefficients between GNDVI, SPAD, and VARI were 0.92 ** and 0.89 **, and that between SPAD and VARI was 0.90 **, which indicated that three vegetation indices for these three estimation methods were significantly related to each other. The determination coefficients of the 0–90 cm soil nitrate nitrogen content estimation models for the drone equipped with a multispectral camera, SPAD, and smartphone photography methods were 0.63, 0.54, and 0.81, respectively. In the estimation accuracy evaluation, the method of smartphone photography had the smallest root mean square error (RMSE = 9.80 mg/kg). The accuracy of the smartphone photography method was slightly higher than the other two methods. Due to the limitations of these models, it was found that the crop nitrogen estimation methods based on canopy spectrum were not suitable for the crops under severe phosphate deficiency. In addition, in estimation of soil nitrate nitrogen content, there were saturation responses in the estimation indicators of the three methods. In order to introduce these three methods in the precise management of nitrogen fertilizer, it is necessary to further improve their estimation models." @default.
- W2997093722 created "2020-01-10" @default.
- W2997093722 creator A5005715004 @default.
- W2997093722 creator A5012726881 @default.
- W2997093722 creator A5018764399 @default.
- W2997093722 creator A5054131078 @default.
- W2997093722 creator A5075066360 @default.
- W2997093722 date "2019-12-26" @default.
- W2997093722 modified "2023-10-02" @default.
- W2997093722 title "Evaluating Different Non-Destructive Estimation Methods for Winter Wheat (Triticum aestivum L.) Nitrogen Status Based on Canopy Spectrum" @default.
- W2997093722 cites W1964217023 @default.
- W2997093722 cites W1990695323 @default.
- W2997093722 cites W1998405819 @default.
- W2997093722 cites W2000102737 @default.
- W2997093722 cites W2003835955 @default.
- W2997093722 cites W2012686349 @default.
- W2997093722 cites W2024422145 @default.
- W2997093722 cites W2025967407 @default.
- W2997093722 cites W2028939790 @default.
- W2997093722 cites W2034741717 @default.
- W2997093722 cites W2036798077 @default.
- W2997093722 cites W2044023561 @default.
- W2997093722 cites W2046180404 @default.
- W2997093722 cites W2052700773 @default.
- W2997093722 cites W2062609530 @default.
- W2997093722 cites W2063623478 @default.
- W2997093722 cites W2089441588 @default.
- W2997093722 cites W2093020519 @default.
- W2997093722 cites W2095939249 @default.
- W2997093722 cites W2111947859 @default.
- W2997093722 cites W2149324144 @default.
- W2997093722 cites W2149813070 @default.
- W2997093722 cites W2151880387 @default.
- W2997093722 cites W2323511679 @default.
- W2997093722 cites W2417223457 @default.
- W2997093722 cites W2462089075 @default.
- W2997093722 cites W2548700076 @default.
- W2997093722 cites W2567262610 @default.
- W2997093722 cites W2586164282 @default.
- W2997093722 cites W2594612747 @default.
- W2997093722 cites W2625198283 @default.
- W2997093722 cites W2790944782 @default.
- W2997093722 cites W2887291686 @default.
- W2997093722 cites W2889742210 @default.
- W2997093722 cites W2898710507 @default.
- W2997093722 cites W2901220017 @default.
- W2997093722 cites W2912375317 @default.
- W2997093722 cites W2955627694 @default.
- W2997093722 cites W2990202597 @default.
- W2997093722 cites W911397827 @default.
- W2997093722 doi "https://doi.org/10.3390/rs12010095" @default.
- W2997093722 hasPublicationYear "2019" @default.
- W2997093722 type Work @default.
- W2997093722 sameAs 2997093722 @default.
- W2997093722 citedByCount "12" @default.
- W2997093722 countsByYear W29970937222020 @default.
- W2997093722 countsByYear W29970937222021 @default.
- W2997093722 countsByYear W29970937222022 @default.
- W2997093722 countsByYear W29970937222023 @default.
- W2997093722 crossrefType "journal-article" @default.
- W2997093722 hasAuthorship W2997093722A5005715004 @default.
- W2997093722 hasAuthorship W2997093722A5012726881 @default.
- W2997093722 hasAuthorship W2997093722A5018764399 @default.
- W2997093722 hasAuthorship W2997093722A5054131078 @default.
- W2997093722 hasAuthorship W2997093722A5075066360 @default.
- W2997093722 hasBestOaLocation W29970937221 @default.
- W2997093722 hasConcept C101000010 @default.
- W2997093722 hasConcept C105795698 @default.
- W2997093722 hasConcept C139945424 @default.
- W2997093722 hasConcept C142724271 @default.
- W2997093722 hasConcept C166957645 @default.
- W2997093722 hasConcept C173163844 @default.
- W2997093722 hasConcept C205649164 @default.
- W2997093722 hasConcept C2776133958 @default.
- W2997093722 hasConcept C33923547 @default.
- W2997093722 hasConcept C39432304 @default.
- W2997093722 hasConcept C62649853 @default.
- W2997093722 hasConcept C71924100 @default.
- W2997093722 hasConceptScore W2997093722C101000010 @default.
- W2997093722 hasConceptScore W2997093722C105795698 @default.
- W2997093722 hasConceptScore W2997093722C139945424 @default.
- W2997093722 hasConceptScore W2997093722C142724271 @default.
- W2997093722 hasConceptScore W2997093722C166957645 @default.
- W2997093722 hasConceptScore W2997093722C173163844 @default.
- W2997093722 hasConceptScore W2997093722C205649164 @default.
- W2997093722 hasConceptScore W2997093722C2776133958 @default.
- W2997093722 hasConceptScore W2997093722C33923547 @default.
- W2997093722 hasConceptScore W2997093722C39432304 @default.
- W2997093722 hasConceptScore W2997093722C62649853 @default.
- W2997093722 hasConceptScore W2997093722C71924100 @default.
- W2997093722 hasFunder F4320335595 @default.
- W2997093722 hasFunder F4320335777 @default.
- W2997093722 hasIssue "1" @default.
- W2997093722 hasLocation W29970937221 @default.
- W2997093722 hasLocation W29970937222 @default.
- W2997093722 hasOpenAccess W2997093722 @default.
- W2997093722 hasPrimaryLocation W29970937221 @default.
- W2997093722 hasRelatedWork W1498247086 @default.