A Soil Sampling Intelligent System Based on Elastic Algorithm and GIS

The fast and low-cost soil sampling methods is the key for precision agriculture (PA) to be applied widely. In this paper, a general framework of an intelligent system for soil sampling has been constructed. Five modules have been set up to response to some main function about soil sampling based on geographic information system (GIS) and Global Positioning System (GPS) technology. Elastic algorithm had been utilized to design the sampling path. With this system, we can design soil sampling sites and optimize sampling path easily. A navigation function has been designed, with which a vehicle can be navigated to each soil sampling point quickly and accurately. Furthermore, the geographic coordinates and the soil laboratory analysis results of samples can be integrated to be managed. Finally, connecting with a sensor, the system can analyze samples in the field, immediately after they were taken.