Abstract
Precision agriculture management system (PAMS) can be defined as the system based on the use of GITs (geographical information technologies) in agriculture. In this system, instead of managing the whole field as a single unit, fields are divided into small areas, and for each area different information and data related to soil and vegetation characteristics (e.g. yield, moisture, texture, structure, nutrient status, etc.) are collected and archived in a geographical information system (GIS) database. On the other hand, coordinates of harvesting machines and the fields are also collected and archived in the same GIS database. If there is a real-time operating CORS (Continuously Operating Reference Stations) network in service in the region, then the obtainable real-time coordinate accuracy will reach up to 2–4 cm. If the GNSS receivers on the agricultural machinery are connected to a yield/crop/moisture sensor, then all collected data will be georeferenced. Consequently, all data collected with georeferenced info will provide farmers with the possibility of mapping of the existing status of the field. When the field is mapped and stored in a GIS database, it will enable the farmer to see and understand all conditions throughout his field. It is also possible to analyse relations between the crop variability and field conditions using GIS software. Once these relations are set up, it is possible to prepare the prescription maps for each area within the field. The use of GITs in a country which has numerous and scattered farming fields is inevitable due to its advantage in reducing the cost for labour and mineral fuels and saving time by minimizing the operation hours of machinery in the field to the minimum required.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Agerskans J (1975) Thermal imaging-A technical review. In: Proceedings of temperature measurement, London, 9–11 April, pp 375–388
Berry JK (1998) Who’s minding the farm?: precision agriculture, yield mapping and site-specific farming. GeoWorld 11(2):46–51
Berry JK (2013) Spatial STEM: A new perspective and conceptual framework for grid-based map analysis and modeling. http://www.innovativegis.com/basis/Courses/SpatialSTEM/
Council Regulation (EC) No 1/2005 of 22 December 2004 on the protection of animals during transport and related operations and amending Directives 64/432/EEC and 93/119/EC and Regulation (EC) No 1255/97
Davis G, Casady W, Massey R (2004) Precision agriculture: an introduction. Water Quality (WQ 450), University of Missouri, Colombia
Grainger Quick Tips Technical Resources (2016.) https://www.grainger.com/content/qt-thermal-imaging-applications-uses-features-345. Retrieved May 2016
Güçdemir İ, Türker U, Karabulut A, Arcak Ç (2004) Hassas Tarım Teknolojilerinin Türkiye’deki Uygulamaları. Toprak Gübre ve Su Kaynakları Araştırma Enstitüsü Ankara (In Turkish)
Hellebrand HJ, Beuche H, Linke M (2002) Thermal imaging: a promising high-tech method in agriculture and horticulture. In: Blahovec J, Kutilek M (eds) Physical methods in agriculture: approach to precision and quality. Kluwer Academic/Plenum Publishers, New York, pp 411–427
Kahveci M (2012) Importance of GNSS in precision agriculture. Invited paper. In: Proceedings of the IFAG congress. International food, agriculture and gastronomy congress. From the field to the table, 15–19 Feb, Antalya, pp 118 (In Turkish)
Kahveci M, Dalbay O, Oktay N (2011) Satellite positioning systems and their importance from Turkey’s perspective. SAREM J Strat Stud, Bi-Annual Refereed Academic Journal, Issue Nr. 2011/50, Year 9, Issue 17, Ankara (In Turkish)
McBratney AB, Whelan B (2001) Precision Ag-Oz style. In: Proceedings of the 1st Australian conference on geospatial information in agriculture, NSW Agriculture, pp 274–282
Satcon System (2016) www.satconsystem.de (Retrieved May 2016)
SunEarthTools (2016) http://www.sunearthtools.com/
Tekin AB, Sındır KO (2006). Tarımsal Üretimde Hassas Tarım (Precision Farming) Uygulamaları. XI. Türkiye’de Internet Konferansı, 21–23 Aralık 2006, TOBB Ekonomi ve Teknoloji Üniversitesi, Ankara (In Turkish)
Trotter MG, Lamb DW, Hinch GN, Guppy CN (2010) GNSS tracking of livestock: Towards variable fertilizer for the grazing industry. In: 10th international conference on precision agriculture, 18–21 July 2010, Denver
USDA: Precision Agriculture (2007) NRCS support for emerging technologies. Agronomy technical note No. 1, p 4.
Vadivambal R, Jayas DS (2011) Applications of thermal imaging in agriculture and food industry—a review. Food Bioprocess Technol 4(2):186–199. doi:10.1007/s11947-010-0333-5
Van der Mal T (2010) High precision applications in agriculture. Presented at Galileo application days, Brussels
Van der Mal T (2013) GNSS use in agriculture. State-of-play. Unifarm-User_Forum-Av-Rep-001
Wu BF, Meng JH, Li JZ, Zhang FF, Du X, Niu LM, Zhang MA (2010) A pilot study for the application of remote sensing in precision farming. In: Guo H, Wang C (eds) Sixth international symposium on digital earth: data processing and applications, vol 7841. SPIE – The International Society for Optical Engineering, Bellingham
Yildiz F (2008) National food and agricultural information infrastructure for traceability. In: Smith IG, Furness A (eds) Food traceability around the world, vol 1. Vicarage Publication Ltd Halifax, England, pp 119–126
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Acronyms
- CORS
-
Continuously Operating Reference Stations
- DEM
-
Digital elevation model
- DGNSS
-
Differential GNSS
- DSM
-
Digital surface model
- EU
-
European Union
- GIS
-
Geographical information system
- GITs
-
Geographical information technologies
- GNSS
-
Global Navigation Satellite System
- GPS
-
Global Positioning System
- LBS
-
Location-based system
- NDVI
-
Normalized difference vegetation index
- NIR
-
Near infrared
- PA
-
Precision agriculture
- PAMS
-
Precision agriculture management system
- RFID
-
Radio frequency identification
- RGB
-
Red, green and blue
- RTK
-
Real-Time Kinematic
- SBAS
-
Satellite-based augmentation system
- SSCM
-
Site-specific farming or site-specific crop management
- UAV
-
Unmanned aerial vehicles
- VRA
-
Variable rate agriculture
- WGS84
-
World Geodetic System 1984
Rights and permissions
Copyright information
© 2017 Springer Science+Business Media LLC
About this chapter
Cite this chapter
Kahveci, M. (2017). Use of Geographical Information Technologies in a Precision Agriculture Management System for Food Traceability. In: Yildiz, F., Wiley, R. (eds) Minimally Processed Refrigerated Fruits and Vegetables. Food Engineering Series. Springer, Boston, MA. https://doi.org/10.1007/978-1-4939-7018-6_17
Download citation
DOI: https://doi.org/10.1007/978-1-4939-7018-6_17
Published:
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4939-7016-2
Online ISBN: 978-1-4939-7018-6
eBook Packages: Chemistry and Materials ScienceChemistry and Material Science (R0)