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     Advance Journal of Food Science and Technology


Research on Fruit's 3D Solid Modeling and Simulation System

Mingxin Li, Weilin Lu and Zhenhua Li
Xinxiang Vocational and Technical College, Xinxiang, China
Advance Journal of Food Science and Technology  2016  9:474-477
http://dx.doi.org/10.19026/ajfst.12.3057  |  © The Author(s) 2016
Received: November ‎3, ‎2015  |  Accepted: January ‎16, ‎2016  |  Published: November 25, 2016

Abstract

In this study, It takes the selection of tomato fruit appearance acquisition equipment as the key point, combined with the fruit shape extraction algorithm, discussing the establishment of the model of tomato. It is very necessary to design and simulate the life process and production process of tomato by using digital technology and constructing digital tomato technology system. At the same time, it explained the model's process design and function of the simulation system, based on the introduction of the morphological development of tomato. Tomato is one of the most common fruits and vegetables that are cultivated in the world.

Keywords:

Digital technology, simulation system, tomato fruit appearance,


References

  1. Cai, J., X. Zhou and Y. Li, 2008. Recognition of mature oranges in natural scene based on machine vision. Trans. Chinese Soc. Agric. Eng., 24: 175-178.
  2. Dong, Q.X., Y.M. Wang and J.F. Barczi, 2006. Tomato structural-functional model I: A 3D architectural modeling based on finite state automation. Chinese J. Ecol-Agric., 14: 195-199. (In Chinese with English abstract)
  3. Heuvelink, E., 1996. Dry matter partitioning in tomato: Validation of a dynamic simulation model. Ann. Bot., 77(1): 71-80.
    CrossRef    Direct Link
  4. Jones, J.W., E. Dayan, L.H. Allen, H. van Keulen and H. Challa, 1991. A dynamic tomato growth and yield model (TOMGRO). T. ASAE, 34(2): 0663-0672.
  5. Jones, J.W., A. Kenig and C.E. Vallejos, 1999. Reduced state-variable tomato growth model. T. ASAE, 42(1): 255-265.
  6. Marcelis, L.F.M., E. Heuvelink and J. Goudriaan, 1998. Modelling biomass production and yield of horticultural crops: A review. Sci. Hortic-Amsterdam, 74(1-2): 83-111.
    CrossRef    Direct Link
  7. Wang, X.Z., X. Han and H.P. Mao, 2012. Vision-based detection of tomato main stem in greenhouse with red rope. T. Chinese Soc. Agric. Eng., 28(21): 135-141.

Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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