Digital parameterization of apple fruit size, shape and surface spottiness
Abstract
To reach fruit market standards, quality evaluation has to be performed. Computer assisted fruit image analysis represents a technique, which offers a variety of automatic and semi-automatic procedures that can be used in combination with classic evaluation methods. To achieve this goal, a digital parameterization method for single apple fruit (Malus domestica) size, shape and surface spottiness has been recently developed. The appropriate mathematical procedures, defining the criteria for the fruit quality parameterization, are also defined and tested. The concept of the method, as well as the initial testing results, is presented in this paper. Basically, the technique combines analysis of apple fruit 256 gray-scale level images and parameterization algorithm of fruit quality. The former is based on digital pattern recognition method (DPR), and the latter employs linear fitting and numerical integration of DPR output data. This way, accurate parameterization of the fruit size, shape ...and surface spottiness, as well as the reliable fruit sorting according to the product quality, is enabled.
Keywords:
Apple fruit / computer vision / quality criteria / mathematical procedure / digital pattern recognitionSource:
African Journal of Agricultural Research, 2011, 6, 13, 3131-3142Funding / projects:
- The Improvement and Preservation of Biotechnology Procedures for Rational Energy Use and Improvement of Agricultural Production Quality (RS-MESTD-Technological Development (TD or TR)-31051)
- Dynamic stability and instability of mechanical systems subjected to stochastic excitations (RS-MESTD-Basic Research (BR or ON)-174011)
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Institution/Community
Poljoprivredni fakultetTY - JOUR AU - Radojević, Rade AU - Petrović, Dragan AU - Pavlović, Vladimir AU - Nikolić, Zoran M. AU - Urošević, Mirko P. PY - 2011 UR - http://aspace.agrif.bg.ac.rs/handle/123456789/2408 AB - To reach fruit market standards, quality evaluation has to be performed. Computer assisted fruit image analysis represents a technique, which offers a variety of automatic and semi-automatic procedures that can be used in combination with classic evaluation methods. To achieve this goal, a digital parameterization method for single apple fruit (Malus domestica) size, shape and surface spottiness has been recently developed. The appropriate mathematical procedures, defining the criteria for the fruit quality parameterization, are also defined and tested. The concept of the method, as well as the initial testing results, is presented in this paper. Basically, the technique combines analysis of apple fruit 256 gray-scale level images and parameterization algorithm of fruit quality. The former is based on digital pattern recognition method (DPR), and the latter employs linear fitting and numerical integration of DPR output data. This way, accurate parameterization of the fruit size, shape and surface spottiness, as well as the reliable fruit sorting according to the product quality, is enabled. T2 - African Journal of Agricultural Research T1 - Digital parameterization of apple fruit size, shape and surface spottiness EP - 3142 IS - 13 SP - 3131 VL - 6 UR - https://hdl.handle.net/21.15107/rcub_agrospace_2408 ER -
@article{ author = "Radojević, Rade and Petrović, Dragan and Pavlović, Vladimir and Nikolić, Zoran M. and Urošević, Mirko P.", year = "2011", abstract = "To reach fruit market standards, quality evaluation has to be performed. Computer assisted fruit image analysis represents a technique, which offers a variety of automatic and semi-automatic procedures that can be used in combination with classic evaluation methods. To achieve this goal, a digital parameterization method for single apple fruit (Malus domestica) size, shape and surface spottiness has been recently developed. The appropriate mathematical procedures, defining the criteria for the fruit quality parameterization, are also defined and tested. The concept of the method, as well as the initial testing results, is presented in this paper. Basically, the technique combines analysis of apple fruit 256 gray-scale level images and parameterization algorithm of fruit quality. The former is based on digital pattern recognition method (DPR), and the latter employs linear fitting and numerical integration of DPR output data. This way, accurate parameterization of the fruit size, shape and surface spottiness, as well as the reliable fruit sorting according to the product quality, is enabled.", journal = "African Journal of Agricultural Research", title = "Digital parameterization of apple fruit size, shape and surface spottiness", pages = "3142-3131", number = "13", volume = "6", url = "https://hdl.handle.net/21.15107/rcub_agrospace_2408" }
Radojević, R., Petrović, D., Pavlović, V., Nikolić, Z. M.,& Urošević, M. P.. (2011). Digital parameterization of apple fruit size, shape and surface spottiness. in African Journal of Agricultural Research, 6(13), 3131-3142. https://hdl.handle.net/21.15107/rcub_agrospace_2408
Radojević R, Petrović D, Pavlović V, Nikolić ZM, Urošević MP. Digital parameterization of apple fruit size, shape and surface spottiness. in African Journal of Agricultural Research. 2011;6(13):3131-3142. https://hdl.handle.net/21.15107/rcub_agrospace_2408 .
Radojević, Rade, Petrović, Dragan, Pavlović, Vladimir, Nikolić, Zoran M., Urošević, Mirko P., "Digital parameterization of apple fruit size, shape and surface spottiness" in African Journal of Agricultural Research, 6, no. 13 (2011):3131-3142, https://hdl.handle.net/21.15107/rcub_agrospace_2408 .