International Journal of Engineering and Technology

The paper focuses on analyzing the irrigation water requirement of wheat crop for rabi season from 1999 to 2003 in Karnal district of Haryana state, India. Area under wheat cultivation has been determined using Landsat ETM+ image by applying Artificial Neural Network (ANN) classification technique. Potential evapotranspiration has been estimated using Hargreaves model. Potential Evapotraspiraiton and crop coefficient for wheat was used for estimating crop water requirement. Effective rainfall was determined using India Meteorological Department gridded rainfall data. Effective rainfall and crop water requirement was used for determining irrigation water requirement. By assuming 35% losses, net irrigation water requirement was estimated. Multiplying the wheat cropped area and net irrigation water requirement the volume of water required for wheat during the rabi season was estimated.