Matches in SemOpenAlex for { <https://semopenalex.org/work/W2627831719> ?p ?o ?g. }
Showing items 1 to 88 of
88
with 100 items per page.
- W2627831719 endingPage "2518" @default.
- W2627831719 startingPage "2509" @default.
- W2627831719 abstract "BACKGROUND Near surface air temperature and rainfall are major weather factors affecting forest insect dynamics. The recent developments in remote sensing retrieval and geographic information system spatial analysis techniques enable the utilization of weather factors to significantly enhance forest pest forecasting and warning systems. The current study focused on building forest pest digital data structures as a platform of correlation analysis between weather conditions and forest pest dynamics for better pest forecasting and warning systems using the new technologies. RESULTS The study dataset contained 3 353 425 small polygons with 174 defined attributes covering 95 counties of Guangxi province of China currently registering 292 forest pest species. Field data acquisition and information transfer systems were established with four software licences that provided 15-fold improvement compared to the systems currently used in China. Nine technical specifications were established including codes of forest districts, pest species and host tree species, and standard practices of forest pest monitoring and information management. Attributes can easily be searched using ArcGIS9.3 and/or the free QGIS2.16 software. CONCLUSIONS Small polygons with pest relevant attributes are a new tool of precision farming and detailed forest insect pest management that are technologically advanced. © 2017 Society of Chemical Industry" @default.
- W2627831719 created "2017-06-30" @default.
- W2627831719 creator A5029684611 @default.
- W2627831719 creator A5053982483 @default.
- W2627831719 creator A5055247287 @default.
- W2627831719 creator A5065248664 @default.
- W2627831719 creator A5072494757 @default.
- W2627831719 date "2017-09-13" @default.
- W2627831719 modified "2023-09-26" @default.
- W2627831719 title "New technology for using meteorological information in forest insect pest forecast and warning systems" @default.
- W2627831719 cites W1970674166 @default.
- W2627831719 cites W2025975874 @default.
- W2627831719 cites W2039104315 @default.
- W2627831719 cites W2042450659 @default.
- W2627831719 cites W2047221353 @default.
- W2627831719 cites W2052393959 @default.
- W2627831719 cites W2073673643 @default.
- W2627831719 cites W2094500853 @default.
- W2627831719 cites W2104635190 @default.
- W2627831719 cites W2112270389 @default.
- W2627831719 cites W2122629113 @default.
- W2627831719 cites W2312441416 @default.
- W2627831719 doi "https://doi.org/10.1002/ps.4647" @default.
- W2627831719 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/28628274" @default.
- W2627831719 hasPublicationYear "2017" @default.
- W2627831719 type Work @default.
- W2627831719 sameAs 2627831719 @default.
- W2627831719 citedByCount "7" @default.
- W2627831719 countsByYear W26278317192018 @default.
- W2627831719 countsByYear W26278317192019 @default.
- W2627831719 countsByYear W26278317192020 @default.
- W2627831719 countsByYear W26278317192022 @default.
- W2627831719 crossrefType "journal-article" @default.
- W2627831719 hasAuthorship W2627831719A5029684611 @default.
- W2627831719 hasAuthorship W2627831719A5053982483 @default.
- W2627831719 hasAuthorship W2627831719A5055247287 @default.
- W2627831719 hasAuthorship W2627831719A5065248664 @default.
- W2627831719 hasAuthorship W2627831719A5072494757 @default.
- W2627831719 hasConcept C107826830 @default.
- W2627831719 hasConcept C123963621 @default.
- W2627831719 hasConcept C144133560 @default.
- W2627831719 hasConcept C162853370 @default.
- W2627831719 hasConcept C18903297 @default.
- W2627831719 hasConcept C205649164 @default.
- W2627831719 hasConcept C22508944 @default.
- W2627831719 hasConcept C2994141551 @default.
- W2627831719 hasConcept C39432304 @default.
- W2627831719 hasConcept C41856607 @default.
- W2627831719 hasConcept C54286561 @default.
- W2627831719 hasConcept C62649853 @default.
- W2627831719 hasConcept C6557445 @default.
- W2627831719 hasConcept C86803240 @default.
- W2627831719 hasConceptScore W2627831719C107826830 @default.
- W2627831719 hasConceptScore W2627831719C123963621 @default.
- W2627831719 hasConceptScore W2627831719C144133560 @default.
- W2627831719 hasConceptScore W2627831719C162853370 @default.
- W2627831719 hasConceptScore W2627831719C18903297 @default.
- W2627831719 hasConceptScore W2627831719C205649164 @default.
- W2627831719 hasConceptScore W2627831719C22508944 @default.
- W2627831719 hasConceptScore W2627831719C2994141551 @default.
- W2627831719 hasConceptScore W2627831719C39432304 @default.
- W2627831719 hasConceptScore W2627831719C41856607 @default.
- W2627831719 hasConceptScore W2627831719C54286561 @default.
- W2627831719 hasConceptScore W2627831719C62649853 @default.
- W2627831719 hasConceptScore W2627831719C6557445 @default.
- W2627831719 hasConceptScore W2627831719C86803240 @default.
- W2627831719 hasIssue "12" @default.
- W2627831719 hasLocation W26278317191 @default.
- W2627831719 hasLocation W26278317192 @default.
- W2627831719 hasOpenAccess W2627831719 @default.
- W2627831719 hasPrimaryLocation W26278317191 @default.
- W2627831719 hasRelatedWork W2003697198 @default.
- W2627831719 hasRelatedWork W2094485893 @default.
- W2627831719 hasRelatedWork W2388412331 @default.
- W2627831719 hasRelatedWork W2589788569 @default.
- W2627831719 hasRelatedWork W2596557561 @default.
- W2627831719 hasRelatedWork W2795766191 @default.
- W2627831719 hasRelatedWork W3186686184 @default.
- W2627831719 hasRelatedWork W4249230819 @default.
- W2627831719 hasRelatedWork W72661247 @default.
- W2627831719 hasRelatedWork W986791918 @default.
- W2627831719 hasVolume "73" @default.
- W2627831719 isParatext "false" @default.
- W2627831719 isRetracted "false" @default.
- W2627831719 magId "2627831719" @default.
- W2627831719 workType "article" @default.