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| Contributor | Urmil Verma, CCS Haryana Agricultural University |
| Title of paper | Wheat yield modelling using Remote Sensing and agrometeorological data in Haryana State |
| Abstract | Agromet-Spectral yield models for four zones in Haryana state were developed using district level area weighted Normalized Difference Vegetation Index (NDVI), trend predicted yield and meteorological indices like Growing Degree Days(GDD), Temperature Difference(TD) and Rainfall Accumulated over critical growth phases of wheat. Meteorological indices calculated were integrated over seven phenological stages of wheat viz. i) Crown Root Initiation Stage ii) Tillering Stage iii) Jointing Stage iv) Flowering Stage v) Milking Stage vi) Dough Stage and vii) Maturity stage. Districts in Haryana were grouped into four zones (clusters of districts) based on physiography/soils and agro-climatic conditions. Trend predicted yields using historical yield time series data and spectro-trend yield relationship were incorporated in the agro-meteorological yield models. Remote sensing based model predicted yield were compared with Bureau of Economic & Statistics(BES) by computing Relative Deviation (RD %). The results indicated that the prediction capability for district level wheat yield predictions have improved significantly using these zonal yield models. |
| Full document | Wheat yield modelling using Remote Sensing and agrometeorological data in Haryana State |
This page last revised: Friday, 17 May 2002
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