Abstract
Spectral yield models for Punjab were updated by incorporating the latest data set on district-wise Normalised Difference Vegetation Index (NDVI) and wheat yields. In order to improve the model, historical yield trend for the past ten years was used to derive a linear regression relation for each district. Yield predicted by these linear trend relations was evaluated for validation of the approach. Finally a multiple regression relation incorporating both NDVI and trend-predicted yield was developed. This model shows better prediction capability as seen from yield forecasts of 1991–92 season.
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Medhavy, T.T., Sharma, T., Dubey, R.P. et al. Development of a wheat yield model for Punjab using remotely sensed data and historical yield trends. J Indian Soc Remote Sens 23, 23–30 (1995). https://doi.org/10.1007/BF02997432
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DOI: https://doi.org/10.1007/BF02997432