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KRISHI

ICAR RESEARCH DATA REPOSITORY FOR KNOWLEDGE MANAGEMENT
(An Institutional Publication and Data Inventory Repository)


  1. KRISHI Publication and Data Inventory Repository
  2. Agricultural Education A1
  3. ICAR-Indian Agricultural Statistics Research Institute B7
  4. AEdu-IASRI-Publication
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"1001-01-01": Date not available or not applicable for filling metadata infromation
Please use this identifier to cite or link to this item: http://krishi.icar.gov.in/jspui/handle/123456789/47367
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DC FieldValueLanguage
dc.contributor.authorU.C. Suden_US
dc.contributor.authorTauqueer Ahmaden_US
dc.contributor.authorV.K. Guptaen_US
dc.contributor.authorHukum Chandraen_US
dc.contributor.authorPrachi Misra Sahooen_US
dc.contributor.authorKaustav Adityaen_US
dc.contributor.authorMan Singhen_US
dc.contributor.authorAnkur Biswasen_US
dc.date.accessioned2021-06-21T09:13:36Z-
dc.date.available2021-06-21T09:13:36Z-
dc.date.issued2017-01-01-
dc.identifier.citationNot Availableen_US
dc.identifier.urihttp://krishi.icar.gov.in/jspui/handle/123456789/47367-
dc.descriptionNot Availableen_US
dc.description.abstractThis technical report provides findings of field tests conducted in selected districts/study area in three countries i.e. Indonesia, Rwanda and Jamaica on the basis of methodology developed by the team at ICAR-IASRI on estimation of crop area, yield and production under mixed and continuous cropping. Different methods of determination of crop area and crop yield were proposed along with different estimators for estimation of crop area and crop yield. The performances of proposed methods were compared against the respective gold standards while the performances of estimators were judged on the basis of criterion of percentage coefficient of variation (CV) of estimators. The results of analysis clearly show that the double sampling regression estimator beats the linear estimator in terms of the criterion of percentage CV both for estimation of crop area and crop yield. The use of regression estimator resulted in significant savings in cost as comparatively smaller samples have the potential to give the desired level of precision.en_US
dc.description.sponsorshipNot Availableen_US
dc.language.isoEnglishen_US
dc.publisherFAO, Rome Publicationen_US
dc.relation.ispartofseriesWorking Paper;16-
dc.subjectMixed Croppingen_US
dc.subjectFAO global strategyen_US
dc.titleCrop1&2: Measuring Crop Area And Yield Under Pure Stand, Mixed, And Continuous Croppingen_US
dc.title.alternativeNot Availableen_US
dc.typeWorking Paperen_US
dc.publication.projectcodeNot Availableen_US
dc.publication.journalnameNot Availableen_US
dc.publication.volumenoNot Availableen_US
dc.publication.pagenumberNot Availableen_US
dc.publication.divisionUnitNot Availableen_US
dc.publication.sourceUrlhttp://gsars.org/wp-content/uploads/2017/01/WP-16.01.2017-Findings-from-the-Field-Tests-Conducted-in-Three-Countries.pdfen_US
dc.publication.authorAffiliationICAR::Indian Agricultural Statistics Research Instituteen_US
dc.ICARdataUseLicencehttp://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdfen_US
dc.publication.naasratingNot Available-
Appears in Collections:AEdu-IASRI-Publication

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