Research on the Current Situation and Development of Intelligent Precision Fertilizer Technology

  • Wu YanEmail author
  • Wang Fan
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 545)


Accurate preparation technique of water and fertilizer is the combination of irrigation and fertilization organically, and it is applied to the crop root system accurately to make the crop root system fully and directly absorb the water and fertilizer coupling solution. At present, there are mainly nutrient solution management method based on conductivity (EC) value, nutrient solution management method for nutrient addition and nutrient solution management method based on crop model. Based on the “integration of water and fertilizer” technology, precise fertilizer control technology put to use the automatic control technology, computer technology, sensor technology, etc., which can improve the accuracy of preparation of water and fertilizer solution concentration, and make the management of irrigation and fertilization intelligently, and also timing quantitative irrigation and fertilization for crop is guaranteed to improve the yield and quality.


Precision irrigation Fertilization Automatic control technology 



This project was supported by the Open Foundation of State Key Laboratory of Hydraulic Engineering Simulation and Safety of Tianjin University (Grant No. HESS-1755) and the Scientific Research and Development Foundation of Tianjin Agricultural University (Grant No. 2016NYB05).


  1. 1.
    Gao, X.: Development trend and existing problems of water-saving irrigation in agriculture in China. Tianjin Agric. Sci. 18(01), 54–56 (2012)Google Scholar
  2. 2.
    Zhao, C.: Research and Practice of Precision Agriculture. Science Press, Beijing (2009)Google Scholar
  3. 3.
    Yan, C.: Irrigation fertilization automatic control system. Hua Zhong Agricultural University, Wuhan (2008)Google Scholar
  4. 4.
    Guo, S.: Soilless Culture. China Agriculture Press, Beijing (2011)Google Scholar
  5. 5.
    Yu, W., Jin, W., Cao, X.: Research and application of intelligent water and fertilizer irrigation system. Agric. Sci. Jiangsu 43(6), 415–418 (2015)Google Scholar
  6. 6.
    Gao, P., Jian, H., Wei, Y.: Application status and development prospects of integrative water and fertilizer. Mod. Agric. Sci. Technol. 8, 250–257 (2013)Google Scholar
  7. 7.
    Zhou, B., Zhou, J.: Effects of different fertilizers and water managements on water distribution in soil and water use efficiency of tomato. Northwest A F Univ. (Nat. Sci. Ed.) 37(1), 211–216 (2009)Google Scholar
  8. 8.
    Chen, Z., Zhang, Y., DiBo, : Comparison of saving water effect of tomato under different irrigation methods in solar greenhouse. Irrig. Drain. 28(3), 105–107 (2009)Google Scholar
  9. 9.
    Liu, J., Zhang, J., Zhao, H.: Application status, existing problems, countermeasures and development prospects of integrative water and fertilizer. Inn. Monglia Agric. Sci. Technol. 6, 32–33 (2006)Google Scholar
  10. 10.
    Yuan, H., Wang, H., Pang, S.: Design and experiment of closed culture system for solar greenhouse. Trans. Chin. Soc. Agric. Eng. 29(21), 159–165 (2013)Google Scholar
  11. 11.
    Liu, X., Zheng, D., MaJun, : Accurate to irrigate and apply fertilizer automatic research of administrative system and realize. Soil Water Conserv. 5, 197–200 (2006)Google Scholar
  12. 12.
    Xiao, S., Wu, Q., Liang, S., et al.: Study on fertigation technology of winter potato. Water Saving Irrig. 1, 67–72 (2018)Google Scholar
  13. 13.
    Shi, Z., Liu, Q., Bai, M., et al.: Water and fertilization integrated intelligent irrigation system design and benefit analysis based on the internet of things. Water Resour. Water Eng. 28(3), 221–227 (2017)Google Scholar
  14. 14.
    Liu, Y., Yu, W., Shen, M., et al.: Present situation and prospect of intelligent precision irrigation fertilization technology. Jiangsu Agric. Sci. 42(8), 384–387 (2014)Google Scholar
  15. 15.
    Wu, D., Mao, H.: Greenhouse crop water information index and humidity control strategy. China Rural. Water Conserv. Hydroelectr. Power 1, 35–40 (2007)Google Scholar
  16. 16.
    Yao, X., Liu, X., Wang, W., et al.: The best normalized spectral index for estimating nitrogen accumulation in wheat leaves based on reduced sampling method. Appl. Ecol. 21(12), 3175–3182 (2010)Google Scholar
  17. 17.
    Zhang, X., Su, B., Sun, S., et al.: Research and development of precision irrigation monitoring system for facility agriculture. Chin. Agric. Mech. 1, 30–32 (2005)Google Scholar
  18. 18.
    Li, S., Guo, S.: Facility Horticulture. China Agriculture Press, Beijing (2002)Google Scholar
  19. 19.
    Ni, J., Mao, H., Ma, W.: Research progress of nutrient solution management strategy. Vegetables 6, 45–47 (2011)Google Scholar
  20. 20.
    Pokrajac, D, Obradovic, Z.A.: Neural method network based Forsite specific fertilization recommendation. In: ASAE Annual International, Meeting, Sacramento, California, USA (2001)Google Scholar
  21. 21.
    Qin, C., Teng, Q.F., Dang, J.: Party building by using neural network to establish the soil fertilization model. Lanzhou Railw. Inst.: Nat. Sci. Ed. 21(4), 54–57 (2002)Google Scholar
  22. 22.
    Lan, W., Mao, P., Du, D., et al.: Study on variable fertilization decision making based on radial basis function networks. Anhui Agric. Sci. 21, 6505–6507 (2007)Google Scholar

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© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  1. 1.College of Water Conservancy EngineeringTianjin Agricultural UniversityTianjinChina

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