IGreen: A ubiquitous dynamic network to enable manufacturer independent data exchange in future precision farming

Computers and Electronics in Agriculture

Volumn 98, Issue , 2013, Pages 109-116

  Blank, Sebastian ^a   Bartolein, Christian ^a   Meyer, Axel ^a   Ostermeier, Ralph ^a   Rostanin, Oleg ^a  

^a DEERE AND COMPANY   (United States)

Author keywords

Ag data management; ISO 11783 ISOBUS; M2I; M2M; OEM independent; Private public data sharing

Indexed keywords

ELECTRONIC DATA INTERCHANGE; FLEET OPERATIONS; INFORMATION MANAGEMENT; MOBILE DEVICES; MOBILE TELECOMMUNICATION SYSTEMS; OPTIMIZATION;

DATA SHARING; ISO 11783/ISOBUS; M2I; M2M; OEM INDEPENDENT;

AGRICULTURE;

AGRICULTURAL PRODUCTION; DATA INVERSION; DATA MANAGEMENT; DECISION MAKING; ENERGY EFFICIENCY; FOOD SUPPLY; FORAGE; INFRASTRUCTURAL DEVELOPMENT; MACHINERY; OPTIMIZATION; PRECISION AGRICULTURE; RESOURCE DEVELOPMENT; WHEAT;

TRITICUM AESTIVUM;

EID: 84883194291     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2013.08.001     Document Type: Article

References (19)

1. Auernhammer, H., Speckmann, H., 2006. Communication issues and internet use: dedicated communication systems and standards for agricultural applications. In: Handbook of Agricultural Engineering, Information Technology, Commission Internationale du Genie Rural (CIGR), vol. IV.
2. Bartolein, C., Blank, S., Meyer, A., Kormann, G., 2011. Seamless machine data management for agricultural vehicles within the iGreen infrastructure. In: 69th International Conference on Agricultural Engineering (LAND.TECHNIK - AgEng 2011). Hannover, Germany, pp. 293-298.
3. Bernardi, A., Tuot, C., 2011. Raum-Zeit-Bezogene Agrardaten für die Anforderungen von Morgen: Semantische Datenspeicherung in dezentralen, offenen Architekturen. In: Theuvsen, M.C.O.S.B. (Ed.), Qualität und Effinzienz durch informationsgestützte Landwirtschaft, Lecture Notes in Informatics (LNI)-Proceedings, vol. 181. Gesellschaft für Informatik, Bonn, pp. 33-36.
4. Blank, S., 2012. A Biological Inspired Approach for Sensor Data Management in Modular Agricultural Machines. Dissertation, Verlag Dr. Hut, Munich, Germany.
5. Blank S., Föhst T., Berns K. A biologically motivated approach towards modular and robust low-level sensor fusion for application in agricultural machinery design. Computers and Electronics in Agriculture 2012, 89:10-17.
6. Deutsche Institut für Normung - DIN 9684 Teil 2-5 Landmaschinen und Traktoren - Schnittstellen zur Signalübertragung. Berlin.
7. Food and Agriculture Organization of the United Nations, 2009. How to feed the world in 2050. Report, Rome, Italy.
8. Fountas, S., Pedersen, S., Blackmore, S., 2006. ICT in agriculture: Perspectives of Technological Vnnovation. The Hebrew University of Jerusalem - Center for Agricultural Economic Research, Jerusalem, Israel.
9. Hill, C.J., Garrett, P.J.K., 2011. AASHTO connected vehicle infrastructure deployment analysis. Tech. rep., United States Department for Transportation.
10. International Organization for Standardization, 2007. ISO 17532:2007 Stationary equipment for agriculture - Data communications network for livestock farming, Geneva, Switzerland.
11. International Organization for Standardization, 2011. ISO 11783-11:2011(E) Tractors and machinery for agriculture and forestry - Serial control and communication data network - Part 11: Mobile data element dictionary, Geneva, Switzerland.
12. International Organization for Standardization, 2011. NWI ISO 16867 Wireless communication in agriculture; Standardization of wireless communication for fleet management, including implement synchronization, Geneva, Switzerland.
13. International Organization for Standardization - ISO 11783 Tractors and machinery for agriculture and forestry - Serial control and communication data network, Geneva, Switzerland.
14. Meyer, H., Rusch, C., Ostermeier, R., 2010. Landwirtschaftliches, selbstkonfigurierendes Kommunikationssystem zur Überwachung, Optimierung und Dokumentation von Ernteprozessen. In: 69th International Conference on Agricultural Engineering (LAND.TECHNIK 2010), pp. 245-250.
15. Nash E., Korduan P., Bill R. Applications of open geospatial web services in precision agriculture: a review. Precision Agriculture 2009, 10(6):546-560.
16. Rostanin, O., Meyer, A., Bernardi, A., Kormann, G., 2012. iGreen machine connector: exchanging vehicle status and job infromation data in a dynamic field environment. In: Commercial Vehicle Technology 2012 - Proceedings of the 2nd Commercial Vehicle Technology Symposium. Kaiserslautern, Germany, pp. 527-536.
17. Society of Automotive Engineers, 2003: SAE J1939: Recommended practice for a serial control and communications vehicle network. Warrendale, United States of America.
18. Sawaji, O., 2012. Intelligence on the road. In: Highlighting Japan. The Cabinet Office Goverment of Japan, pp. 12-13.
19. Steinberger G., Rothmund M., Auernhammer H. Mobile farm equipment as a data source in an agricultural service architecture. Computers and Electronics in Agriculture 2009, 65(2):238-246.