African Journal of
Agricultural Research

  • Abbreviation: Afr. J. Agric. Res.
  • Language: English
  • ISSN: 1991-637X
  • DOI: 10.5897/AJAR
  • Start Year: 2006
  • Published Articles: 6711

Full Length Research Paper

Modeling of rapeseed at maturity stage using 3D unorganized point clouds and digital images

Ruifang ZHAI
  • Ruifang ZHAI
  • Research Institute for Computer Applications, Huazhong Agricultural University, Wuhan, 430070, P. R. China.
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Xiu JING
  • Xiu JING
  • Research Institute for Computer Applications, Huazhong Agricultural University, Wuhan, 430070, P. R. China.
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Chengda LIN
  • Chengda LIN
  • Research Institute for Computer Applications, Huazhong Agricultural University, Wuhan, 430070, P. R. China.
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Hui PENG
  • Hui PENG
  • Research Institute for Computer Applications, Huazhong Agricultural University, Wuhan, 430070, P. R. China.
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Jun LUO
  • Jun LUO
  • Research Institute for Computer Applications, Huazhong Agricultural University, Wuhan, 430070, P. R. China.
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  •  Received: 12 April 2011
  •  Accepted: 30 April 2014
  •  Published: 17 June 2014

References

Guan H (2007). Studies on the leaf information of rapeseed based on the computer vision technology. Master thesis, Hunan Agricultural University, Changsha, China.
 
Ma Y, Guo Y, Li B (2006). Azimuthal distribution of maize plant leaves determined by 3D digitizer. ACTA AGRONOMICA SINCA. 32(6):791-798.
 
Masaaki O, Yosuke Y (2005). Measurement of spatial leaf distribution by using 3D digitizer and evaluation of light receiving efficiency of tomato plant. FRUTIC 05, Information and Technology for Sustainable Fruit and Vegetable Production, pp. 363-370.
 
Dornbushch T, Wernecke P, Diepenbrock W (2007). A method to extract morphological traits of plant organs from 3D point clouds as a database for an architectural plant model. Ecol. Model. pp. 119-129.
 

Watanabe T, Hanan JS, Room PM, Hasegawa T, Nakagawa H, Takahashi W (2005). Rice morphogenesis and plant architecture: measurement, specification and the reconstruction of structural development by 3D architectural modeling. Ann. Bot. 95(7):1131-1143.

Crossref 

 
Yuan D, Liu A, Yuan B (2009). Nutrition information extraction of rape canopy based on computer vision technology. Trans. CSAE 25(12):174-179.
 
Zhang X, Pan Z, Chen L, Yin J, Li J (2006). Seed color detection by computer technology in rapeseed. Chin. J. Oil Crop Sci. 28(1):11-15.