Skip to main content

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 218))

  • 855 Accesses

Abstract

Based on the comparison with all kinds of GIS development modes, this paper has built the breeding base information system using the visualization development language of C# and the module of Arc Engine 9.3. This system has accomplished the basic management of the breeding base, such as the map basic operation, inquiry, special subject pursue functions, printing output, space analysis, and so on. Using different interpolation methods, using the technology of variable rate fertilization and the method of nutrient balances, based on the data of spatial distribution maps of soil nutrition, taking the breeding of corn as example, it can ensure the quantity demanded according to the method of Target Production and calculate the vector prescription figure and grid prescription figure of urea, phosphoric acid, DAP, potassium chloride according to the fertilizer requirement.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Bo X, Wei W, Li H (2007) Development of a recommended fertilization information system based on arc GIS engine. J Southwest Chin Norm Univ Nat Sci 1(4):59–64

    Google Scholar 

  2. Guiyang L (2008) Design on the information system platform of the accurate soybean production network. J Heilongjiang Aug First L Reclam Univ 2(5):82–86

    Google Scholar 

  3. Fountas S, Kyhn M, Lipczak JH et al (2009) A systems analysis of information system requirements for an experimental farm. J Precis Agric 3(5):247–261

    Article  Google Scholar 

  4. Guizheng W, Suhua W (2010) Development and application of county scale fertilization soil testing decision-making supporting systems based on GIS-arc GIS engine. Agric Net Inf 4(3):11–14

    Google Scholar 

  5. Shoujiang F, ZXinnan Z, Zongxian C et al (2011) Study on the effect of different fertilizer treatments in producing corn seeds. Gansu Agric Sci Technol 5(7):7–9

    Google Scholar 

  6. Limei H, Shaowen H, Bao H (2010) Winter wheat-summer corn response to nitrogen and phosphorus application and balanced fertilization. Soils Fertilizers Sci Chin 6(5):38–44

    Google Scholar 

  7. Yunping C, Xiu W, Chunjiang Z (2007) Design and implementation of soil sampling information system based on 3S. Appl Res Comput 7(6):236–241

    Google Scholar 

  8. Natalia R, Alfred BM (2009) Remote sensing of soybean canopy as a tool to map high pH, calcareous soils at field scale. Precis Agric 8(10):175–187

    Google Scholar 

  9. Akula B, Thatikunta R (2007) Interfacing crop simulation models with GIS for yield estimation—a review. Agric Rev 9(4):229–234

    Google Scholar 

  10. Shiqi Y, Yongjinn X, Yanghua G (2010) Design of the fertilization expert system based on plug-in technology. J South west Chin Norm Univ (Nat Sci Edn) 10(8):158–163

    Google Scholar 

  11. Xinzhong W, Xi W, Weidong Z et al (2006) Study on GIS of variable rate fertilization for precision agriculture. Heilongjiang Aug First Land Reclam Univ 11(6):49–51

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xiaoguang Li .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag London

About this paper

Cite this paper

Li, X., Wu, F., Wang, J., Tian, G. (2013). Breeding Base System Based on GIS. In: Zhong, Z. (eds) Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012. Lecture Notes in Electrical Engineering, vol 218. Springer, London. https://doi.org/10.1007/978-1-4471-4847-0_1

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-4847-0_1

  • Published:

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4846-3

  • Online ISBN: 978-1-4471-4847-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics