Abstract: There is shortage of information about sugar cane crop in Sudan; therefore, it is necessary to adopt a new technology for carrying out inventory or estimation of this crop-space technology (Remote Sensing, GIS, and GPS) can offer an invaluable assistance in this regard. In this research, space technologies were applied for sugar cane crop estimation in New Halfa sugar cane scheme.IRS-5m resolution image was used for this purpose. Two areas were selected as the study area (area three and area six). Two sets of image were used (October, 2006 and December, 2007). The Supervised classification technique was adapted for the study. The results showed clear variations between the sugar cane fields. To continue close monitoring of the sugar cane yield, satellite images captured at different dates during the growing period of sugar cane should be available. The research results revealed the importance of integrating RS and GIS as effective tools for the assessment, detection, monitoring and mapping of the various features on the earths surface such as land degradation. Moreover, RS & GIS assist in the study of vegetation cover. Etc. This leads to saving effort, time and cost.