Matches in SemOpenAlex for { <https://semopenalex.org/work/W1501367908> ?p ?o ?g. }
Showing items 1 to 62 of
62
with 100 items per page.
- W1501367908 endingPage "846" @default.
- W1501367908 startingPage "841" @default.
- W1501367908 abstract "This paper presents work on developing a software system for predicting crop yield from climate and plantation data. At the core of this system is a method for unsupervised partitioning of data for finding spatio-temporal patterns in climate data using kernel methods which offer strength to deal with complex data. For this purpose, a robust weighted kernel k-means algorithm incorporating spatial constraints is presented. The algorithm can effectively handle noise, outliers and auto-correlation in the spatial data, for effective and efficient data analysis, and thus can be used for predicting oil-palm yield by analyzing various factors affecting the yield." @default.
- W1501367908 created "2016-06-24" @default.
- W1501367908 creator A5019686683 @default.
- W1501367908 creator A5083954565 @default.
- W1501367908 date "2006-01-01" @default.
- W1501367908 modified "2023-10-14" @default.
- W1501367908 title "An Intelligent System Based on Kernel Methods for Crop Yield Prediction" @default.
- W1501367908 cites W1986007546 @default.
- W1501367908 cites W2099242680 @default.
- W1501367908 cites W2115242586 @default.
- W1501367908 cites W2125687218 @default.
- W1501367908 cites W2140095548 @default.
- W1501367908 cites W2143035555 @default.
- W1501367908 cites W2159237780 @default.
- W1501367908 cites W2169649438 @default.
- W1501367908 cites W4234745793 @default.
- W1501367908 doi "https://doi.org/10.1007/11731139_98" @default.
- W1501367908 hasPublicationYear "2006" @default.
- W1501367908 type Work @default.
- W1501367908 sameAs 1501367908 @default.
- W1501367908 citedByCount "11" @default.
- W1501367908 countsByYear W15013679082020 @default.
- W1501367908 countsByYear W15013679082022 @default.
- W1501367908 countsByYear W15013679082023 @default.
- W1501367908 crossrefType "book-chapter" @default.
- W1501367908 hasAuthorship W1501367908A5019686683 @default.
- W1501367908 hasAuthorship W1501367908A5083954565 @default.
- W1501367908 hasConcept C114614502 @default.
- W1501367908 hasConcept C119857082 @default.
- W1501367908 hasConcept C124101348 @default.
- W1501367908 hasConcept C154945302 @default.
- W1501367908 hasConcept C33923547 @default.
- W1501367908 hasConcept C41008148 @default.
- W1501367908 hasConcept C74193536 @default.
- W1501367908 hasConcept C79337645 @default.
- W1501367908 hasConceptScore W1501367908C114614502 @default.
- W1501367908 hasConceptScore W1501367908C119857082 @default.
- W1501367908 hasConceptScore W1501367908C124101348 @default.
- W1501367908 hasConceptScore W1501367908C154945302 @default.
- W1501367908 hasConceptScore W1501367908C33923547 @default.
- W1501367908 hasConceptScore W1501367908C41008148 @default.
- W1501367908 hasConceptScore W1501367908C74193536 @default.
- W1501367908 hasConceptScore W1501367908C79337645 @default.
- W1501367908 hasLocation W15013679081 @default.
- W1501367908 hasOpenAccess W1501367908 @default.
- W1501367908 hasPrimaryLocation W15013679081 @default.
- W1501367908 hasRelatedWork W2961085424 @default.
- W1501367908 hasRelatedWork W3046775127 @default.
- W1501367908 hasRelatedWork W3170094116 @default.
- W1501367908 hasRelatedWork W3209574120 @default.
- W1501367908 hasRelatedWork W4205958290 @default.
- W1501367908 hasRelatedWork W4285260836 @default.
- W1501367908 hasRelatedWork W4286629047 @default.
- W1501367908 hasRelatedWork W4306321456 @default.
- W1501367908 hasRelatedWork W4306674287 @default.
- W1501367908 hasRelatedWork W4224009465 @default.
- W1501367908 isParatext "false" @default.
- W1501367908 isRetracted "false" @default.
- W1501367908 magId "1501367908" @default.
- W1501367908 workType "book-chapter" @default.