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Mechatronic System for Mechanical Weed Control of the Intra-row Area in Row Crops

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Abstract

The dissertation discusses the problem of mechanical weed control within the intra-row area in row crops. A novel concept featuring an electrically driven weeding tool similar to that applied in rotational crop thinning systems is proposed. The special characteristics of the system include the ability to tune rotational speed of the hoeing tool according to forward speed of the carrier, estimated in-row distance between adjacent plants and observed angular position of the arms. A laboratory prototype including an interim solution for detection of the single plants was developed and tested.

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References

  1. Bond W, Grundy AC (2001) Non-chemical weed management in organic farming systems. Weed Res 41:383–405. doi:10.1046/j.1365-3180.2001.00246.x

    Article  Google Scholar 

  2. Griepentrog HW, Noerremark M, Nielsen J, Soriano Ibarra J (2007) Autonomous inter-row hoeing using GPS based side-shift control. Agricultural Engineering International. The CIGR Ejournal IX (Manuscript ATOE 07 005). http://hdl.handle.net/1813/10600

  3. Van der Weide R, Bleeker P, Achten VT, Plotz L, Fogelberg F, Melander B (2008) Innovation in mechanical weed control in crop rows. Weed Res 48:215–224. doi:10.1111/j.1365-3180.2008.00629.x

    Article  Google Scholar 

  4. Kielhorn A et al. (2000) Beikrautregulierung in Reihenkulturen – Sensorgesteuerte Querhacke im Mais. Z Pflanzenkrankh Pflanzenschutz, Sonderh XVII:207–215 (special issue)

    Google Scholar 

  5. Åstrand B, Baerveldt A-J (2002) An agricultural mobile robot with vision-based perception for mechanical weed control. Auton Robots 13:21–35. doi:10.1023/A:1015674004201

    Article  MATH  Google Scholar 

  6. Bontsema J, van Asselt K, Groot T (2002) Intra-row weed control. Bornim Agrartech Ber 31:64–72

    Google Scholar 

  7. Gobor Z (2008) Development of a novel mechatronic system for mechanical weed control of the intra-row area in row crops based on detection of single plants and adequate controlling of the hoeing tool in real-time. Dissertation, Institut für Landtechnik, Univ Bonn.VDI-MEG: Forschungsbericht 464 (ISSN 0931-6264; 464)

  8. Tillett ND, Hague T, Grundy AC, Dedousis AP (2008) Mechanical within-row weed control for transplanted crops using computer vision. Biosyst Eng 99(2):171–178. doi:10.1016/j.biosystemseng.2007.09.026

    Article  Google Scholar 

  9. Slaughter DC, Giles DK, Downey D (2008) Autonomous robotic weed control systems: a review. Comput Electron Agric 61(1):63–78. doi:10.1016/j.compag.2007.05.008

    Article  Google Scholar 

  10. Nørremark M, Griepentrog HW, Nielsen J, Søgaard HT (2012) Evaluation of an autonomous GPS-based system for intra-row weed control by assessing the tilled area. Precis Agric 13(2):149–162. doi:10.1007/s11119-011-9234-5

    Article  Google Scholar 

  11. Piron A, van der Heijden F, Destain M (2010) Weed detection in 3D images. Precis Agric 11:1–16. doi:10.1007/s11119-010-9205-2

    Article  Google Scholar 

  12. Zhang Y, Slaughter DC, Staab ES (2012) Robust hyperspectral vision-based classification for multi-season weed mapping. ISPRS J Photogramm Remote Sens 69:65–73. doi:10.1016/j.isprsjprs.2012.02.006

    Article  Google Scholar 

  13. Cointault F, Journaux L, Rabatel G, Germain C, Ooms D, Destain MF, Gorretta N, Grenier G, Lavialle O, Marin A (2012) Texture, color and frequential proxy-detection image processing for crop characterization in a context of precision agriculture. Agric Sci Technol, 49–70. doi:10.5772/36674

  14. Swain PH, Davis SM (1978) Remote sensing: the quantitative approach. McGraw-Hill, New York

    Google Scholar 

  15. Gego A (1968) Ein Beitrag zum Problem der gesteuerten maschinellen Vereinzelung von Zuckerrüben. Dissertation, RWTH Aachen

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Acknowledgements

This work was funded and carried out in the frame of the DFG research training group “Graduiertenkolleg 722” at the Institute of Agricultural Engineering, Technology of Crop Farming, Nussallee 5, 53115 Bonn, Germany.

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Correspondence to Zoltan Gobor.

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Gobor, Z. Mechatronic System for Mechanical Weed Control of the Intra-row Area in Row Crops. Künstl Intell 27, 379–383 (2013). https://doi.org/10.1007/s13218-013-0265-0

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