Skip to main content

Advertisement

SpringerLink
Log in

Design and experiment of intelligent monitoring system for vegetable fertilizing and sowing

  • Published:
The Journal of Supercomputing Aims and scope Submit manuscript

Abstract

Vegetable production is facing the problems of low resource utilization rate and serious environmental pollution. Vegetable sowing and planting with fertilizer have the characteristics of extensive and low efficiency. An intelligent monitoring system of vegetable fertilization and seeding is designed in this paper. The system uses CAN bus communication protocol to collect sensor signals and PLC to control the execution part. The seeding and fertilization monitoring were carried out by photoelectric sensing technology and piezoelectric thin film technology, respectively. The system is composed of sowing and fertilizing machinery, monitoring system of seed leakage, alarm system of fertilizer blockage, variable-rate fertilization control system and on-board computer. The system uses the GPS module to get the location information of the machine. Combined with the pre-loaded plots map of soil prescription, the target fertilization amount in the current position is determined. Pressure sensor and microcomputer control are used to calculate the current fertilization rate and flow information, and the fertilization rate is adjusted in real time according to the moving speed of the machine. Finally, the detection of miss-seeding, blocking and precision fertilization is realized. The field test results show that the accuracy of monitoring is over 91%. The alarm error of fertilizer blockage is less than 4%. The accuracy of variable fertilization is more than 94%. The whole machine monitoring system can adapt to complex field environment and has better practicability and economy.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13

Similar content being viewed by others

References

  1. Lu CY, Fu WQ, Zhao CJ et al (2017) Design and experiment on real-time monitoring system of wheat seeding. Trans Chin Soc Agric Eng 33(2):32–40

    Google Scholar 

  2. Kumhala F, Prosek V, Kroulik M (2010) Capacitive sensor for chopped maize throughput measurement. Comput Electron Agric 70(1):234–238

    Article  Google Scholar 

  3. Navid H, Ebrahimian S, Gassemzadeh HR, Mousavi Nia MJ (2011) Laboratory evaluation of seed metering device using image processing method. Aust J Agric Eng 2:1–4

    Google Scholar 

  4. Vegad GM, Yadav R (2018) Design analysis and optimization of rotary tiller blades using computer software. AMA Agric Mech Asia Afr Latin Am 49(1):43–49

    Google Scholar 

  5. Bouroubi Y, Tremblay N, Vigneault P, Belec C, Panneton B, Guillaume S (2011) Fuzzy logic approach for spatially variable nitrogen fertilization of corn based on soil, crop and precipitation information. Comput Sci Appl 6782:356–368

    Google Scholar 

  6. Woo SM, Uyeh DD, Sagong MS, Ha YS (2017) Development of seeder for mixed planting of corn and soybeans. Int J Agric Biol Eng 10(3):95–101

    Google Scholar 

  7. Karayel D, Wiesehoff M, Ozmerzi A, Muller Joachim (2006) Laboratory measurement of seed drill seed spacing and velocity of fall of seeds using high-speed camera system. Comput Electron Agric 50(2):89–96

    Article  Google Scholar 

  8. Anantachar M, Kumar GVP, Guruswamy T (2011) Development of artificial neural network models for the performance prediction of an inclined plate seed metering device. Appl Soft Comput 11(4):3753–3763

    Article  Google Scholar 

  9. Grewal RS, Khurana R (2015) Development and evaluation of tractor operated inclined plate metering device for onion seed planting. Agric Eng Int CIGR J 17(2):31–38

    Google Scholar 

  10. Zhou LM, Wang SM, Zhang XC, Yuan YW, Zhang JN (2012) Seed monitoring system for corn planter based on capacitance signal. Trans Chin Soc Agric Eng 28(13):16–21

    Google Scholar 

  11. Wei LG, Zhang XC, Yuan YW, Liu YC, Li ZL (2012) Design and experiment of 2F-6-BP1 variable rate assorted fertilizer applicator. Trans Chin Soc Agric Eng 28(7):14–18

    Google Scholar 

  12. Hu H, Li HW, Li CY, Wang QJ, He J, Li WY, Zhang XC (2016) Design and experiment of broad width and precision minimal tillage wheat planter in rice stubble field. Trans Chin Soc Agric Eng 32(4):24–32

    Google Scholar 

  13. Liu CX, Zhao DC, Shan AJ (2010) Design of infrared reflective electro-monitor for seeding machine. J Agric Mech Res 32(6):117–120

    Google Scholar 

  14. Kuang LH, Zhang W, Zhao B, Xu XY (2010) The seed and fertilizer intelligent monitoring system of precision seeder. J Agric Mech Res 32(6):9–12

    Google Scholar 

  15. Ding YC, Yang JQ, Zhu K, Li LL et al (2017) Design and experiment on seed flow sensing device for rapeseed precision metering device. Trans Chin Soc Agric Eng (Trans CSAE) 33(9):29–36

    Google Scholar 

  16. Huang DY, Jia HL, Qi Y, Zhu LT et al (2013) Seeding monitor system for planter based on polyvinylidence fluoride piezoelectric film. Trans Chin Soc Agric Eng (Trans CSAE) 29(23):15–22

    Google Scholar 

  17. Zhao JL, Zhu LT, Jia HL, Huang DY, Guo MZ, Cong YJ (2018) Automatic depth control system for a no-till seeder. Int J Agric Biol Eng 11(1):115–121

    Article  Google Scholar 

  18. Liu CX, Zhao DC, Shan AJ (2010) Design of infrared reflective electro-monitor for seeding machine. J Agric Mech Res 32(6):117–120

    Google Scholar 

  19. Yin QY (2014) On the development of precision seeder intelligent monitoring system controlled by single-chip microcomputer. Autom Control Mechatron Eng III 615:130–134

    Google Scholar 

  20. Shi YY, Chen M, Wang XC et al (2017) Analysis and experiment of fertilizing performance for precision fertilizer applicator in rice and wheat fields. Trans Chin Soc Agric Mach 48(7):97–103

    Google Scholar 

  21. Wang XC, Chen M, Sun GX et al (2015) Design and test of control system on variable fertilizer applicator for winter wheat. Trans Chin Soc Agric Eng 31(s2):88–92

    Google Scholar 

  22. Jiang Y, Zhou XL, Zhou J, Duan JB (2017) Design of High precision seeder control system. In: 2017 IEEE 3rd Information Technology and Mechatronics Engineering Conference (ITOEC), pp 1139–1142

  23. Song P, Zhang JX, Li W et al (2011) Real-time monitoring system for accuracy of precision seeder. Trans Chin Soc Agric Mach 42(2):71–74

    Google Scholar 

  24. Li YH, Meng PX, Geng DY et al (2016) Intelligent system for adjusting and controlling corn seeding depth. Trans Chin Soc Agric Mach 47(s1):62–68

    Google Scholar 

  25. He XT, Hao YL, Zhao DY et al (2016) Design and experiment of testing instrument for maize precision seed meter’s performance detection. Trans Chin Soc Agric Mach 47(10):19–26

    Google Scholar 

  26. Zhai JB, Xia JF, Zhou Y, Zhang S (2014) Design and experimental study of the control system for precision seed-metering device. Int J Agric Biol Eng 7(3):13–18

    Google Scholar 

  27. Chen M, Shi YY, Wang XC et al (2015) Expert decision system of precision fertilizer for winter wheat. Trans Chin Soc Agric Mach 46(7):17–22

    Google Scholar 

Download references

Acknowledgements

The work was sponsored by the National Key Research and Development Program of China Sub-project (No. 2017YFD0700502), the Innovation Scientists and Technicians Troop Construction Projects of Henan Province (No. 184200510017) and the Foundation of Henan Educational Committee (No. 18B416001).

Author information

Authors and Affiliations

  1. College of Agricultural Equipment Engineering, Henan University of Science and Technology, Luoyang, China

    Xin Jin, Kaixuan Zhao, Jiangtao Ji, Zhaomei Qiu, Zhitao He & Hao Ma

  2. Collaborative Innovation Center of Machinery Equipment Advanced Manufacturing of Henan Province, Luoyang, China

    Xin Jin & Jiangtao Ji

Authors
  1. Xin Jin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kaixuan Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jiangtao Ji
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zhaomei Qiu
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Zhitao He
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Hao Ma
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jiangtao Ji.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Jin, X., Zhao, K., Ji, J. et al. Design and experiment of intelligent monitoring system for vegetable fertilizing and sowing. J Supercomput 76, 3338–3354 (2020). https://doi.org/10.1007/s11227-018-2576-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11227-018-2576-2

Keywords

Search

Navigation