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[Application of Vis/NIR diffuse reflectance spectroscopy to the rapid detection and identification of tomato fruit via space mutation breeding].
Guang Pu Xue Yu Guang Pu Fen Xi. 2011 Feb; 31(2):387-9.GP

Abstract

In order to quickly analyze varieties of tomato via space mutation breeding with near infrared spectra, characteristics of the pattern were analyzed by partial least square. The model was built with radial basis function neural network and regarded the compressed data as the input of neural network input vectors. The model regarded the compressed data as the input of neural network input vectors and the training process was speeded up. For one hundred and five fruit samples of CK, M1 and M2 the training model was built. Forty five samples formed the prediction set. The discrimination rate of these two models achieved 95.6% and 97.8%. It offered a new approach to the fast discrimination of varieties of tomato via space mutation breeding.

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Authors+Show Affiliations

Shi JH
College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China. shijiahui@zju.edu.cn
Chen ZL
No affiliation info available
Shao YN
No affiliation info available
He Y
No affiliation info available
Feng P
No affiliation info available
Zhu JJ
No affiliation info available

MeSH

BreedingLeast-Squares AnalysisLycopersicon esculentumMutationNeural Networks, ComputerSpectroscopy, Near-Infrared

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

chi

PubMed ID

21510387

Citation

Shi, Jia-Hui, et al. "[Application of Vis/NIR Diffuse Reflectance Spectroscopy to the Rapid Detection and Identification of Tomato Fruit Via Space Mutation Breeding]." Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu, vol. 31, no. 2, 2011, pp. 387-9.
Shi JH, Chen ZL, Shao YN, et al. [Application of Vis/NIR diffuse reflectance spectroscopy to the rapid detection and identification of tomato fruit via space mutation breeding]. Guang Pu Xue Yu Guang Pu Fen Xi. 2011;31(2):387-9.
Shi, J. H., Chen, Z. L., Shao, Y. N., He, Y., Feng, P., & Zhu, J. J. (2011). [Application of Vis/NIR diffuse reflectance spectroscopy to the rapid detection and identification of tomato fruit via space mutation breeding]. Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu, 31(2), 387-9.
Shi JH, et al. [Application of Vis/NIR Diffuse Reflectance Spectroscopy to the Rapid Detection and Identification of Tomato Fruit Via Space Mutation Breeding]. Guang Pu Xue Yu Guang Pu Fen Xi. 2011;31(2):387-9. PubMed PMID: 21510387.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - [Application of Vis/NIR diffuse reflectance spectroscopy to the rapid detection and identification of tomato fruit via space mutation breeding]. AU - Shi,Jia-Hui, AU - Chen,Zi-Li, AU - Shao,Yong-Ni, AU - He,Yong, AU - Feng,Pan, AU - Zhu,Jia-Jin, PY - 2011/4/23/entrez PY - 2011/4/23/pubmed PY - 2014/1/24/medline SP - 387 EP - 9 JF - Guang pu xue yu guang pu fen xi = Guang pu JO - Guang Pu Xue Yu Guang Pu Fen Xi VL - 31 IS - 2 N2 - In order to quickly analyze varieties of tomato via space mutation breeding with near infrared spectra, characteristics of the pattern were analyzed by partial least square. The model was built with radial basis function neural network and regarded the compressed data as the input of neural network input vectors. The model regarded the compressed data as the input of neural network input vectors and the training process was speeded up. For one hundred and five fruit samples of CK, M1 and M2 the training model was built. Forty five samples formed the prediction set. The discrimination rate of these two models achieved 95.6% and 97.8%. It offered a new approach to the fast discrimination of varieties of tomato via space mutation breeding. SN - 1000-0593 UR - https://www.unboundmedicine.com/medline/citation/21510387/[Application_of_Vis/NIR_diffuse_reflectance_spectroscopy_to_the_rapid_detection_and_identification_of_tomato_fruit_via_space_mutation_breeding]_ L2 - https://www.ingentaconnect.com/openurl?genre=article&issn=1000-0593&volume=31&issue=2&spage=387&aulast=Shi DB - PRIME DP - Unbound Medicine ER -