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The present study was carried out to develop im-proved crop yield estimates for rice and wheat crops through the Empirical Best Linear Unbiased Predic-tion (EBLUP) procedure via the Fay–Herriot area level model at sub-district level in Hisar district. Village-wise crop cutting data and auxiliary remote sensing data (satellite imaginaries) derived from the MODIS Vegetation Indices (MOD13Q1) version 6 were used for model construction. It is noteworthy that the coef-ficient of variation of the developed EBLUP estimates was below 10% for almost all sub-districts. The study revealed a significant enhancement in the efficiency of the yield estimator in comparison to the direct estima-tor, which recommended that with the use of remote sensing data together with crop cutting experiment data, crop yield estimates can be obtained on a small-er scale than the district using existing crop cutting experiments in the district.

Keywords

Crop Yield Estimation, Fay–herriot Area Level Model, MODIS/terra, NDVI, Small Area Estimation.
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