An intelligent system based on kernel methods for crop yield prediction
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 wit...
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| Format: | Conference or Workshop Item |
| Language: | en |
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2006
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| Online Access: | http://eprints.utm.my/7573/1/Sap_M_N_Md_2006_Intelligent_System_Based_Kernel_Methods.pdf http://eprints.utm.my/7573/ http://dx.doi.org/10.1007/11731139_98 |
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| _version_ | 1845471833594265600 |
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| author | Majid Awan, A. Md. Sap, Mohd. Noor |
| author_facet | Majid Awan, A. Md. Sap, Mohd. Noor |
| author_sort | Majid Awan, A. |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | 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. |
| format | Conference or Workshop Item |
| id | my.utm.eprints-7573 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2006 |
| record_format | eprints |
| spelling | my.utm.eprints-75732017-08-24T04:24:16Z http://eprints.utm.my/7573/ An intelligent system based on kernel methods for crop yield prediction Majid Awan, A. Md. Sap, Mohd. Noor QA75 Electronic computers. Computer science 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. 2006-03-10 Conference or Workshop Item PeerReviewed application/pdf en http://eprints.utm.my/7573/1/Sap_M_N_Md_2006_Intelligent_System_Based_Kernel_Methods.pdf Majid Awan, A. and Md. Sap, Mohd. Noor (2006) An intelligent system based on kernel methods for crop yield prediction. In: Lecture Notes in Computer Science(including subseries Lecture Notes in Artificial Intelligent and Lecture Notes in Bioinformatics) . http://dx.doi.org/10.1007/11731139_98 |
| spellingShingle | QA75 Electronic computers. Computer science Majid Awan, A. Md. Sap, Mohd. Noor An intelligent system based on kernel methods for crop yield prediction |
| title | An intelligent system based on kernel methods for crop yield prediction |
| title_full | An intelligent system based on kernel methods for crop yield prediction |
| title_fullStr | An intelligent system based on kernel methods for crop yield prediction |
| title_full_unstemmed | An intelligent system based on kernel methods for crop yield prediction |
| title_short | An intelligent system based on kernel methods for crop yield prediction |
| title_sort | intelligent system based on kernel methods for crop yield prediction |
| topic | QA75 Electronic computers. Computer science |
| url | http://eprints.utm.my/7573/1/Sap_M_N_Md_2006_Intelligent_System_Based_Kernel_Methods.pdf http://eprints.utm.my/7573/ http://dx.doi.org/10.1007/11731139_98 |
| url_provider | http://eprints.utm.my/ |