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Tytuł artykułu

Development of variable rate sprayer for oil palm plantation

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This project describes the design and development of a camera vision with color detection for the variable rate technology (VRT) automated sprayer. In this project, the smart sprayer system was already developed and mounted on the ATV. The automated sprayer system was developed by combination of the electromechanical system, PC parallel port relay board, the controller and visual basic programming software. This smart sprayer system is guided with the camera to detect the presence of weeds. Detection of weeds is based on the green color value from RGB value. The amount or percentage (%) of weeds detected determines the rate of spraying that is controlled by an electric motor and the relay board. In this project, the spray nozzles were modified to be fully open, fully closed and half open. The closing and opening of valves were controlled by the electromechanical system that receives the instruction from the camera vision. Experiments carried out shows that the nozzle is closed when the percentage of weeds detected is less than 2%. It is half open at 3% to 50% and fully open at more than 51%. The application rate of spraying can be determined from the result of the spraying operation.
Słowa kluczowe
Rocznik
Strony
299--302
Opis fizyczny
Bibliogr. 12 poz., rys., tab.
Twórcy
autor
autor
autor
  • Department of Biological and Agriculture Engineering, Faculty of Engineering, UPM, 43400, Serdang, Selangor, Malaysia, wiwi@eng.upm.edu.my
Bibliografia
  • [1] P. Apostoli and A. Kanda, “Cantorian sets, fuzzy sets, rough sets and fregean sets”, Bull. Pol. Ac.: Tech. 50 (3), 247–276 (2002).
  • [2] M.H. Razali, W.I. Wan Ismail, A.R. Ramli, and M.N. Sulaiman, “Modeling of oil palm fruit maturity for the development of an outdoor vision system”, Int. J. Food Eng. 4 (3), CD-ROM (2008).
  • [3] W.I.W. Ishak and M.S. Shazrol (2007), “Camera vision guidance for automated weed sprayer on all terrain vehicles (ATV)”. Proc. 2nd Asian Conf. on Precision Agriculture, (ACPA07) 1, CD-ROM (2007).
  • [4] S.A. Shearer and P.T. Jones, “Selective application of postemergence herbicides using photoelectrics”, Trans. ASAE 34 (4), 1661–1666 (1991).
  • [5] J.E. Hanks, “Smart sprayer selects weeds for elimination”, Agricultural Research 44 (4), 15 (1996).
  • [6] K. Sankarasubramanian and P.A. Venkatakrishnan, “CCDbased polarization interferometric technique for testing waveplates”, Optics & Laser Technology 30 (l), 15–21 (1998).
  • [7] D.K. Giles, and D.C. Slaughter, “Precision band sprayer with machine-vision guidance and adjustable yaw nozzles”, Trans. ASAE 40 (1), 29–36 (1997).
  • [8] M.R. Gebhardt, C.L. Day, C.E. Goering, and L.E. Bode, Automatic Spray Control System, IST World, Michigan, 1974.
  • [9] A.D. Rockwell and P.D. Ayers, “Variable rate sprayer development and evaluation”, Applied Engineering in Agriculture 10 (3), 327–333 (1994).
  • [10] W.I.W. Ishak and A.R. Khairuddin, “Development of real-time color analysis for the on-line automated weeding operations”, Proc. 9th Int. Conf. on Precision Agriculture 1, CD-ROM (2008).
  • [11] M. Bom and E. Wolf, Principles of Optics, 6th ed., Pergamon Press, Oxford, 1989.
  • [12] M.A. Glinicki and A. Litorowicz, “Crack system evaluation in concrete elements at mesoscale”, Bull. Pol. Ac.: Tech. 54 (4), 371–379 (2006).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BPG8-0070-0017
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