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Definition Management Zones of Drip Irrigation Cotton Field Based on the GIS and RS

  • Ze Zhang
  • Zhouyang Li
  • Lulu Ma
  • Xin LvEmail author
  • Lifu ZhangEmail author
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 509)

Abstract

A fuzzy c-means clustering algorithm was used to assign soil nutrient to management zones which was based on remote sensing as data source in Nongwushi 81 Tuan Xin Jiang drip irrigation in cotton based on GIS and RS. The results showed that the variation coefficient of nutrient index was decreased in management zones based on remote sensing data source, space distribution were all the same direction. There were no significant differences among the three management zones. The space variation of soil nutrient content was different lowest in the same management zone. The conformity degree of the integration of management zones based on remote sensing NDVI as data was reached 75.47%. A fuzzy c-means clustering algorithm which was based on remote sensing as data source can achieve good management zones results, which could be used to help guide the rate of variable inputs and precise fertilizer application and provide the theory basis of soil nutrient management in cotton.

Keywords

GIS RS Management zones Fuzzy clustering 

Notes

Acknowledgements

This work was financially supported by project of National High-tech R&D Program of China (863 Program)-2012AA101902.

Conflict of Interest

The author confirms that this article content has no conflict of interest.

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Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  1. 1.Shihezi University AgronomyShihezi CityChina
  2. 2.Corps Reconnaissance Design Institute of Surveying and Mapping Branch of Geographic Information CenterUrumqiChina
  3. 3.Institute of Remote Sensing and Digital EarthChinese Academy of SciencesBeijingChina

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