An Intelligent Water-Saving Irrigation System


With the rapid growth of the world’s population, the shortage of freshwater resources becomes increasingly serious. Farmland irrigation would not survive without fresh water which comes from river nearby. The low irrigation efficiency of the existing irrigation system needs to be tackled for efficient and effective usage of freshwater with low-cost. It is recognised that the water-saving irrigation technologies, such as the drip irrigation, sprinkler irrigation, micro-irrigation, furrow irrigation in horizontal direction, plastic film mulching, ditch irrigation technology, etc. should be strongly promoted in order to develop water-saving agriculture. However all these measures require cutting-edge technologies and heavy investment, which poses a big problem particularly for the developing countries. On the other hand, if water and nutrients can be applied directly to the crop at root level, the positive effects on yield and water savings can be achieved, thereby increasing the irrigation performance. The water-yield relationship has been investigated using different methods of limited water applications and programs. Therefore, designing and fabricating technological irrigation system of low cost with maximising yield that can reasonably use water for agriculture is an urgent issue to today’s world. The intelligent irrigation system provides a potential solution to solve the water shortage problems. In this study, an intelligent water-saving irrigation system is designed using Solidworks and some parts of the system are fabricated using a home-made fused deposition modelling (FDM) 3D Printer. The intelligent irrigation for different plants is successfully achieved and the irrigation efficiency is significantly improved. The employment of the home-made 3D printer not only substantially reduces the manufacture costs, but also makes it possible to fabricate any “ad hoc” irrigation system.

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  1. 1

    Water for Sustainable Food and Agriculture: A Report Produced for the G20 Presidency of Germany, Rome: UN Food Agric. Org., 2017.

  2. 2

    Doczi, J., Calow, R., and d’Alançon, V., Growing more with less—China’s progress in agricultural water management and reallocation. 2014.

  3. 3

    Ritchie, H. and Roser, M., Water use and stress. 2015.

  4. 4

    Bernhard, P., World Economic Forum, Part 1—Global Risks 2015: Introduction, 2015.

  5. 5

    Zhu, L. and Zhang, Z.Y., Water-saving intelligence irrigation systems design based on ZigBee technology, Appl. Mech. Mater., 2014, vols. 687–691, pp. 3187–3190.

  6. 6

    Jha, K., Doshi, A., Patel, P., and Shah, M., A comprehensive review on automation in agriculture using artificial intelligence, Artif. Intell. Agric., 2019, vol. 2, pp. 1–12.

    Google Scholar 

  7. 7

    Kponyo, J.J., Opare, K.A., Abdul-Rahman, A., and Agyemang, J.O., An intelligent irrigation system for rural agriculture, Int. J. Appl. Agric. Sci., 2019, vol. 5, no. 3, pp. 75–81.

    Google Scholar 

  8. 8

    Mane, M.S. and Magar, S.S., Principles of Drip Irrigation System, New Delhi: Jain Brothers, 2008.

    Google Scholar 

  9. 9

    Doorenbos, J. and Kassam, A.H., Yield Response to Water, Rome: Rome: UN Food Agric. Org., 1979.

  10. 10

    Hanks, R.J., Yield and water-use relationships: An overview, in Limitations to Efficient Water Use in Crop Production, Madison, WI: Am. Soc. Agron., 1983, pp. 393–411.

    Google Scholar 

  11. 11

    Stone, P.J., Wilson, D.R., Jamieson, P.D., and Gillespie, R.N., Water deficit effects on sweet corn. II. Canopy development, Austr. J. Agric. Res., 2001, vol. 52, pp. 115–126.

    Article  Google Scholar 

  12. 12

    Jamieson, P.D., Martin, R.J., Francis, G.S., and Wilson, D.R., Drought effects on biomass production and radiation-use efficiency in barley, Field Crops Res., 1995, vol. 43, nos. 2–3, pp. 77–86.

  13. 13

    Zhang, H. and Oweis, T., Water-yield relations and optimal irrigation scheduling of wheat in the Mediterranean region, Agric. Water Manage., 1999, vol. 38, no. 3, pp. 195–211.

    Article  Google Scholar 

  14. 14

    Pandey, R.K., Maranvilla, J.W., and Chetima, M.M., Deficit irrigation and nitrogen effects on maize in a Sahelian environment: II. Shoot growth, nitrogen uptake and water extraction, Agric. Water Manage., 2000, vol. 46, pp. 15–27.

    Article  Google Scholar 

  15. 15

    Bell, C., Delta printer hardware, in 3D Printing with Delta Printers, New York: Springer, 2015.

    Google Scholar 

  16. 16

    Bell, C., Introduction to Delta 3D printers, in 3D Printing with Delta Printers, New York: Springer, 2015.

    Google Scholar 

  17. 17

    Yi, R., Wu, C., Liu, Y-J., He, Y., and Wang, C., Delta DLP 3-D printing of large models, IEEE Trans. Autom. Sci. Eng., 2018, vol. 15, no. 3, pp. 1193–1204.

    Article  Google Scholar 

  18. 18

    Patchett, G., Voltage stabilization, Nature, 1957, vol. 180, p. 1310.

    Article  Google Scholar 

  19. 19

    O’Neill, T. and Williams, J., 3D Printing, Ann Arbor, MI: Cherry Lake, 2014.

    Google Scholar 

  20. 20

    Lee, J.S., Su, Y.W., and Shen, C.C., A comparative study of wireless protocols: Bluetooth, UWB, ZigBee, and Wi–Fi, Proc. 33rd Annual Conf. IEEE Industrial Electronics Soc. IECON’2007, Piscataway, NJ: Inst. Electr. Electron. Eng., 2007, pp. 46–51.

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Correspondence to Hailiang Du.

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Chunyao Huang, Lu, Y. & Du, H. An Intelligent Water-Saving Irrigation System. J. Water Chem. Technol. 42, 480–484 (2020).

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  • agricultural freshwater
  • irrigation efficiency
  • intelligent irrigation system