KRISHI
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http://krishi.icar.gov.in/jspui/handle/123456789/40770Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Director ICAR-IASRI | en_US |
| dc.date.accessioned | 2020-09-02T09:39:47Z | - |
| dc.date.available | 2020-09-02T09:39:47Z | - |
| dc.date.issued | 2019-10-01 | - |
| dc.identifier.citation | Not Available | en_US |
| dc.identifier.issn | Not Available | - |
| dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/40770 | - |
| dc.description | Not Available | en_US |
| dc.description.abstract | Sampling methodology for generating State level estimates of crop area and yield from the sample sizes recommended by Prof Vaidyanathan Committee report has been developed. During past few agricultural years, it was observed that a total number of 13,00,000 (approximately) Crop Cutting Experiments (CCEs) were conducted in India every year to find out the crop yield estimates of several major and minor crops. To tackle with the issue of reducing the number of CCEs, a pilot study was conducted in five states in around 4700 villages with reduced number of CCEs conducted under each crop. It was found that, the estimates obtained from reduced sample size (reduced number of CCEs w.r.t. GCES), produced reliable estimates with acceptable level of precision for major food grain crops only at State level but not at district level. An integrated sampling methodology for crop yield estimation for Crop Insurance using field surveys, Remote sensing, GIS and Spatial interpolation techniques has been developed in order to optimize the number of Crop Cutting Experiments (CCEs) being conducted under Pradhan Mantri Fasal Bima Yojna (PMFBY). | en_US |
| dc.description.sponsorship | Not Available | en_US |
| dc.language.iso | English | en_US |
| dc.publisher | ICAR-IASRI, New Delhi | en_US |
| dc.relation.ispartofseries | Not Available; | - |
| dc.subject | Agricultural Statistics | en_US |
| dc.subject | Design of Experiments | en_US |
| dc.subject | Sample Surveys | en_US |
| dc.subject | Statistical Genetics | en_US |
| dc.subject | Forecasting Techniques | en_US |
| dc.subject | Bioinformatics | en_US |
| dc.subject | Computer Applications | en_US |
| dc.title | ICAR-IASRI Newsletter, July- Sep., 2019 | en_US |
| dc.title.alternative | Not Available | en_US |
| dc.type | News Letter | en_US |
| dc.publication.projectcode | Not Available | en_US |
| dc.publication.journalname | Not Available | en_US |
| dc.publication.volumeno | 24(2) | en_US |
| dc.publication.pagenumber | 1-16 | en_US |
| dc.publication.divisionUnit | Not Available | en_US |
| dc.publication.sourceUrl | https://iasri.icar.gov.in/wp-content/uploads/2020/07/Newsletter_july-sep2019.pdf | en_US |
| dc.publication.authorAffiliation | ICAR::Indian Agricultural Statistics Research Institute | en_US |
| dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
| dc.publication.naasrating | Not Available | - |
| Appears in Collections: | AEdu-IASRI-Publication | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Newsletter_july-sep2019.pdf | 1.04 MB | Adobe PDF | View/Open |
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