AI SearchDevelopment of agro-environmental quality index for paddy productivity in Nepal
Call Number: AIT Thesis no.EV-86-2 Material type:
Continuing resourceSeries: Asian Institute of Technology. Thesis ; no. EV-86-2Publication details: Bangkok : Asian Institute of Technology, 1986Description: 67 pSubject(s): Online resources: Dissertation note: Thesis (M.Sc.) - Asian Institute of Technology, 1986 Summary: Analysis of Nepal's agro- environmental quality for Paddy productivity was conducted using statistical techniques. Factor analysis was used to arrive at the more relevant and applicable variables which gave an accurate measure of the underlying caused to the variation in agro-environmental quality. Index values were then statistically compared with the ranking of Taxonomic analysis. Thorough investigation on the significant deterministic parameters and their application in the impact prediction model is recommended.
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22-AIT Thesis (Replacement)
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Asian Institute of Technology Library AIT Publications | AIT Thesis no.EV-86-2 (Browse shelf(Opens below)) | 3 | Available | 30050120804322 | |||||||||||||
40-Archives
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Asian Institute of Technology Library Archives | AIT Thesis no.EV-86-2 (Browse shelf(Opens below)) | Available | 30050120224166 | ||||||||||||||
20-AIT Publication
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Asian Institute of Technology Library AIT Publications | AIT Thesis no.EV-86-2 (Browse shelf(Opens below)) | 1 | Available | 30050121074248 |
A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science, School of Environment, Resources and Development
Thesis (M.Sc.) - Asian Institute of Technology, 1986
Analysis of Nepal's agro- environmental quality for Paddy productivity was conducted using statistical techniques. Factor analysis was used to arrive at the more relevant and applicable variables which gave an accurate measure of the underlying caused to the variation in agro-environmental quality. Index values were then statistically compared with the ranking of Taxonomic analysis. Thorough investigation on the significant deterministic parameters and their application in the impact prediction model is recommended.
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