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Home >> Remote Sensing Applications >> Forecasting Agricultural output using Space, Agrometeorology and Land based observations (FASAL)
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Forecasting Agricultural output using Space, Agrometeorology and Land based observations (FASAL)                    

Countrywide project funded by the Ministry of Agriculture and Cooperation and executed by DOS along with various State Remote Sensing Applications Centres, State Departments of Agriculture and Agricultural Universities. Crop production forecasting of major crops (kharif rice, rabi rice, wheat, jute, potato, mustard) and at district level (wheat, cotton, mustard, sorghum, sugarcane), in the country has been done for 2009-10. The methodology includes analyses of Remote sensing data acquired during crop season using limited field observations for crop identification and use of stratified random sampling (5*5 km land area) with 15-20% sample size of population for acreage estimation. Agromet model, time trend and crop simulation models are used for crop yield prediction.

Kharif rice production forecasting for 2009-10 using three-date Synthetic Aperture Radar (SAR) data for state and national level shows that around 14% reduction in acreage and 19% reduction in production, as compared to 2008-09 forecast. The reduction is mainly due to lower acreage in the States of Bihar, Jharkhand, Madhya Pradesh, Uttar Pradesh and West Bengal due to insufficient rainfall. National Wheat production forecast (third) for the year 2009-10 carried out using Resoucesat-1 AWiFS data and LISS-III data have shown that the acreage is around 28.33 Mha and estimated production is around 81.21 Mt which is 5.1% and 10.3% more than the second forecast for the year 2008-09

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