FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W3092600768> ?p ?o ?g. }

• W3092600768 endingPage "3228" @default.
• W3092600768 startingPage "3228" @default.
• W3092600768 abstract "The accurate estimation of the key growth indicators of rice is conducive to rice production, and the rapid monitoring of these indicators can be achieved through remote sensing using the commercial RGB cameras of unmanned aerial vehicles (UAVs). However, the method of using UAV RGB images lacks an optimized model to achieve accurate qualifications of rice growth indicators. In this study, we established a correlation between the multi-stage vegetation indices (VIs) extracted from UAV imagery and the leaf dry biomass, leaf area index, and leaf total nitrogen for each growth stage of rice. Then, we used the optimal VI (OVI) method and object-oriented segmentation (OS) method to remove the noncanopy area of the image to improve the estimation accuracy. We selected the OVI and the models with the best correlation for each growth stage to establish a simple estimation model database. The results showed that the OVI and OS methods to remove the noncanopy area can improve the correlation between the key growth indicators and VI of rice. At the tillering stage and early jointing stage, the correlations between leaf dry biomass (LDB) and the Green Leaf Index (GLI) and Red Green Ratio Index (RGRI) were 0.829 and 0.881, respectively; at the early jointing stage and late jointing stage, the coefficient of determination (R2) between the Leaf Area Index (LAI) and Modified Green Red Vegetation Index (MGRVI) was 0.803 and 0.875, respectively; at the early stage and the filling stage, the correlations between the leaf total nitrogen (LTN) and UAV vegetation index and the Excess Red Vegetation Index (ExR) were 0.861 and 0.931, respectively. By using the simple estimation model database established using the UAV-based VI and the measured indicators at different growth stages, the rice growth indicators can be estimated for each stage. The proposed estimation model database for monitoring rice at the different growth stages is helpful for improving the estimation accuracy of the key rice growth indicators and accurately managing rice production." @default.
• W3092600768 created "2020-10-15" @default.
• W3092600768 creator A5004299785 @default.
• W3092600768 creator A5035462418 @default.
• W3092600768 creator A5035798516 @default.
• W3092600768 creator A5064481120 @default.
• W3092600768 date "2020-10-03" @default.
• W3092600768 modified "2023-10-16" @default.
• W3092600768 title "Qualifications of Rice Growth Indicators Optimized at Different Growth Stages Using Unmanned Aerial Vehicle Digital Imagery" @default.
• W3092600768 cites W1900944452 @default.
• W3092600768 cites W1974328142 @default.
• W3092600768 cites W1982657128 @default.
• W3092600768 cites W1994230782 @default.
• W3092600768 cites W2003835955 @default.
• W3092600768 cites W2011325105 @default.
• W3092600768 cites W2021905480 @default.
• W3092600768 cites W2058154428 @default.
• W3092600768 cites W2061240006 @default.
• W3092600768 cites W2063623478 @default.
• W3092600768 cites W2064636932 @default.
• W3092600768 cites W2069036524 @default.
• W3092600768 cites W2070047344 @default.
• W3092600768 cites W2073768889 @default.
• W3092600768 cites W2091041426 @default.
• W3092600768 cites W2112458566 @default.
• W3092600768 cites W2128866545 @default.
• W3092600768 cites W2133506218 @default.
• W3092600768 cites W2142347478 @default.
• W3092600768 cites W2148137306 @default.
• W3092600768 cites W2163450852 @default.
• W3092600768 cites W2213617029 @default.
• W3092600768 cites W2342626385 @default.
• W3092600768 cites W2499691472 @default.
• W3092600768 cites W2609925010 @default.
• W3092600768 cites W2622954938 @default.
• W3092600768 cites W2646675373 @default.
• W3092600768 cites W2752278344 @default.
• W3092600768 cites W2804616917 @default.
• W3092600768 cites W2807715987 @default.
• W3092600768 cites W2891621712 @default.
• W3092600768 cites W2903662845 @default.
• W3092600768 cites W2903923283 @default.
• W3092600768 cites W2918084323 @default.
• W3092600768 cites W2926632975 @default.
• W3092600768 cites W2937353161 @default.
• W3092600768 cites W2945241815 @default.
• W3092600768 cites W2949257508 @default.
• W3092600768 cites W2958508178 @default.
• W3092600768 cites W2980312226 @default.
• W3092600768 cites W2988226076 @default.
• W3092600768 cites W2993884728 @default.
• W3092600768 cites W3000369451 @default.
• W3092600768 cites W3007045993 @default.
• W3092600768 cites W3012923981 @default.
• W3092600768 cites W3022293080 @default.
• W3092600768 cites W3023976802 @default.
• W3092600768 cites W3040221110 @default.
• W3092600768 doi "https://doi.org/10.3390/rs12193228" @default.
• W3092600768 hasPublicationYear "2020" @default.
• W3092600768 type Work @default.
• W3092600768 sameAs 3092600768 @default.
• W3092600768 citedByCount "14" @default.
• W3092600768 countsByYear W30926007682021 @default.
• W3092600768 countsByYear W30926007682022 @default.
• W3092600768 countsByYear W30926007682023 @default.
• W3092600768 crossrefType "journal-article" @default.
• W3092600768 hasAuthorship W3092600768A5004299785 @default.
• W3092600768 hasAuthorship W3092600768A5035462418 @default.
• W3092600768 hasAuthorship W3092600768A5035798516 @default.
• W3092600768 hasAuthorship W3092600768A5064481120 @default.
• W3092600768 hasBestOaLocation W30926007681 @default.
• W3092600768 hasConcept C105795698 @default.
• W3092600768 hasConcept C115540264 @default.
• W3092600768 hasConcept C142724271 @default.
• W3092600768 hasConcept C146357865 @default.
• W3092600768 hasConcept C151730666 @default.
• W3092600768 hasConcept C154945302 @default.
• W3092600768 hasConcept C205649164 @default.
• W3092600768 hasConcept C25989453 @default.
• W3092600768 hasConcept C2776133958 @default.
• W3092600768 hasConcept C2780092901 @default.
• W3092600768 hasConcept C33923547 @default.
• W3092600768 hasConcept C39432304 @default.
• W3092600768 hasConcept C41008148 @default.
• W3092600768 hasConcept C62649853 @default.
• W3092600768 hasConcept C6557445 @default.
• W3092600768 hasConcept C71924100 @default.
• W3092600768 hasConcept C82990744 @default.
• W3092600768 hasConcept C86803240 @default.
• W3092600768 hasConceptScore W3092600768C105795698 @default.
• W3092600768 hasConceptScore W3092600768C115540264 @default.
• W3092600768 hasConceptScore W3092600768C142724271 @default.
• W3092600768 hasConceptScore W3092600768C146357865 @default.
• W3092600768 hasConceptScore W3092600768C151730666 @default.
• W3092600768 hasConceptScore W3092600768C154945302 @default.
• W3092600768 hasConceptScore W3092600768C205649164 @default.
• W3092600768 hasConceptScore W3092600768C25989453 @default.
• W3092600768 hasConceptScore W3092600768C2776133958 @default.

• next