Study of Classification Techniques on Multispectral Remote Sensing Data for Agricultural Application

India is a country where agriculture is the backbone of economy. It is need of hour to estimate agricultural production based upon its sown area, which deems to be not achievable manually every year. The underlying reason behind is the existing facilities and mechanism is inadequate to achieve the same. However, with the advent of state of the art technologies in Remote Sensing and GIS, it is quiet easy to predict acreage of agricultural product in advance. In order to identify the land use by the crops, classification is the important task to be done. Still, it’s a real challenge to get better classification accuracy. Various supervised and unsupervised classification techniques are introduced by the researchers. The reviews of those techniques with their respective problems and prospects, is highlighted in the paper. The main objective is to find out the efficient classification technique that applied on multi-spectral remote sensing data for agricultural applications and to explore futuristic research in this domain.