Matches in SemOpenAlex for { <https://semopenalex.org/work/W2124740464> ?p ?o ?g. }
Showing items 1 to 83 of
83
with 100 items per page.
- W2124740464 abstract "Nitrogen deficiency can seriously reduce yield, while over-fertilization can result problems such as excess nutrient runoff and groundwater pollution. Hence, efficient methods for assessing crop nitrogen status are needed to enable more optimal fertilizer management. The ability to quantify the different nitrogen application rates by crops using digital images taken from an unmanned aerial vehicle (UAV) was investigated in comparison with ground-based hyperspectral reflectance and chlorophyll content data from 140 plots on a managed field. This research utilized new UAV system, comprised of remote-controlled helicopter (Hercules II) and digital camera (EOS 30D), was used to characterize spatial and temporal variation in crop production. Digital information was extracted based on an object-oriented segmentation method, and the color parameter was reduced and represented using principal component analysis (PCA). An estimating model was established after analyzing the relationship between the optimal color parameter and ground-based measurements. Model testing demonstrated that unknown samples could be associated with the controlled nitrogen application rates (0, 60, 90, and 120 kg N·hm−2): 91.6% %; N1 (60 kg N·hm−2): 70.83%; N2 (90 kg N·hm−2): 86.7%; N3 (120 kg N·hm−2): 95%. Overall, this result proved to provide a cost-effective and accurate way and the UAV was an exploratory and predictive tool when applied to quantify different status of nitrogen. In addition, it indicated that the application of digital image from UAV to the problem of estimating different nitrogen rates is promising." @default.
- W2124740464 created "2016-06-24" @default.
- W2124740464 creator A5025840041 @default.
- W2124740464 creator A5046383696 @default.
- W2124740464 creator A5062134980 @default.
- W2124740464 creator A5082943987 @default.
- W2124740464 date "2009-01-01" @default.
- W2124740464 modified "2023-09-26" @default.
- W2124740464 title "Quantifying Nitrogen Status of Rice Using Low Altitude UAV-Mounted System and Object-Oriented Segmentation Methodology" @default.
- W2124740464 cites W109013405 @default.
- W2124740464 cites W1973221379 @default.
- W2124740464 cites W1975824431 @default.
- W2124740464 cites W1996091271 @default.
- W2124740464 cites W2016559271 @default.
- W2124740464 cites W2044620475 @default.
- W2124740464 cites W2053916979 @default.
- W2124740464 cites W2063290920 @default.
- W2124740464 cites W2079667412 @default.
- W2124740464 cites W2081707742 @default.
- W2124740464 cites W2082627840 @default.
- W2124740464 cites W2084182821 @default.
- W2124740464 cites W2085635066 @default.
- W2124740464 cites W2089667520 @default.
- W2124740464 cites W2123101917 @default.
- W2124740464 cites W268683196 @default.
- W2124740464 doi "https://doi.org/10.1115/detc2009-87107" @default.
- W2124740464 hasPublicationYear "2009" @default.
- W2124740464 type Work @default.
- W2124740464 sameAs 2124740464 @default.
- W2124740464 citedByCount "9" @default.
- W2124740464 countsByYear W21247404642014 @default.
- W2124740464 countsByYear W21247404642015 @default.
- W2124740464 countsByYear W21247404642016 @default.
- W2124740464 countsByYear W21247404642017 @default.
- W2124740464 countsByYear W21247404642019 @default.
- W2124740464 countsByYear W21247404642021 @default.
- W2124740464 countsByYear W21247404642023 @default.
- W2124740464 crossrefType "proceedings-article" @default.
- W2124740464 hasAuthorship W2124740464A5025840041 @default.
- W2124740464 hasAuthorship W2124740464A5046383696 @default.
- W2124740464 hasAuthorship W2124740464A5062134980 @default.
- W2124740464 hasAuthorship W2124740464A5082943987 @default.
- W2124740464 hasConcept C118518473 @default.
- W2124740464 hasConcept C120217122 @default.
- W2124740464 hasConcept C124504099 @default.
- W2124740464 hasConcept C154945302 @default.
- W2124740464 hasConcept C159078339 @default.
- W2124740464 hasConcept C166957645 @default.
- W2124740464 hasConcept C205649164 @default.
- W2124740464 hasConcept C27438332 @default.
- W2124740464 hasConcept C39432304 @default.
- W2124740464 hasConcept C41008148 @default.
- W2124740464 hasConcept C62649853 @default.
- W2124740464 hasConcept C89600930 @default.
- W2124740464 hasConceptScore W2124740464C118518473 @default.
- W2124740464 hasConceptScore W2124740464C120217122 @default.
- W2124740464 hasConceptScore W2124740464C124504099 @default.
- W2124740464 hasConceptScore W2124740464C154945302 @default.
- W2124740464 hasConceptScore W2124740464C159078339 @default.
- W2124740464 hasConceptScore W2124740464C166957645 @default.
- W2124740464 hasConceptScore W2124740464C205649164 @default.
- W2124740464 hasConceptScore W2124740464C27438332 @default.
- W2124740464 hasConceptScore W2124740464C39432304 @default.
- W2124740464 hasConceptScore W2124740464C41008148 @default.
- W2124740464 hasConceptScore W2124740464C62649853 @default.
- W2124740464 hasConceptScore W2124740464C89600930 @default.
- W2124740464 hasLocation W21247404641 @default.
- W2124740464 hasOpenAccess W2124740464 @default.
- W2124740464 hasPrimaryLocation W21247404641 @default.
- W2124740464 hasRelatedWork W1477404515 @default.
- W2124740464 hasRelatedWork W1868880993 @default.
- W2124740464 hasRelatedWork W2071160478 @default.
- W2124740464 hasRelatedWork W2107600226 @default.
- W2124740464 hasRelatedWork W2302716917 @default.
- W2124740464 hasRelatedWork W2318153520 @default.
- W2124740464 hasRelatedWork W2482643924 @default.
- W2124740464 hasRelatedWork W2766492534 @default.
- W2124740464 hasRelatedWork W3009836478 @default.
- W2124740464 hasRelatedWork W3186906386 @default.
- W2124740464 isParatext "false" @default.
- W2124740464 isRetracted "false" @default.
- W2124740464 magId "2124740464" @default.
- W2124740464 workType "article" @default.