A Soil Sampling Intelligent System Based on Elastic Algorithm and GIS

Author

Yunping, Chen ; Xiu, Wang ; Chunjiang, Zhao

Author_Institution

Coll. of Autom., Univ. of Electron. Sci. & Technol. of China, Chengdu, China

Volume

6

fYear

2009

fDate

14-16 Aug. 2009

Firstpage

202

Lastpage

206

Abstract

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.

Keywords

Global Positioning System; agricultural engineering; geographic information systems; soil; GIS; Global Positioning System; elastic algorithm; geographic information system; precision agriculture; soil sampling intelligent system; Agriculture; Algorithm design and analysis; Design optimization; Geographic Information Systems; Global Positioning System; Intelligent systems; Navigation; Sampling methods; Soil; Vehicles; elastic algorithm; precision agriculture; soil sampling;

fLanguage

English

Publisher

ieee

Conference_Titel

Natural Computation, 2009. ICNC '09. Fifth International Conference on

Conference_Location

Tianjin

Print_ISBN

978-0-7695-3736-8

Type

conf

DOI

10.1109/ICNC.2009.545

Filename

5362974