In the productive process for obtaining sugar cane products, the costs associated to the activities of harvesting (cut), carrying and transport (CCT), represent great part of the final cost of the product. In order to reduce this costs new technologies should be adopted in the agricultural mechanization using precision agriculture methods. The use of the information technology combined with the use of intelligent components can help to improve the performance of machines and equipments and managing efficiency. The present research project aims to develop a system to monitoring the sugar cane CCT. The CCT monitoring system can be divided into three parts. The first one refers to data acquisition. In order to do that a harvester was instrumented to collects, display and stores in the PC monitor located in the harvester cabin. The second part refers to data transmission to the mill. So the information stored in a XML file extension are sent via radio frequency or Wi-Fi to an embedded electronics to the road truck when working off-line or by GPRS or Satelital Iridium when working on-line to the mill. The third part is related to analysis information and corresponding diagnosis for fleet management. In order to handle all the information that gets to the mill, a software PIMS-SIG-CCT was developed. For each one of the three parts laboratory and field tests were carried out. The field tests were carried out during 2008 sugar cane season at São Martinho Mill, Pradópolis-SP. The results demonstrated that the proposed technology is appropriated and can significativelyimprove the agricultural management and transportation logistics.