Texture analysis method using regional rank coding

Ouslimani, Farida; Ameur, Zohra; Ouslimani, A.

doi:10.1109/csndsp.2014.6923853

Cited by 1 publication

(1 citation statement)

References 13 publications

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“…Jin Wenlin et al (1999) put forward a rank analysis method to evaluate the yield traits of varieties under multiple environments. In rank analysis method, the grading value H1 of the variety under the same experimental environment is given according to the significance comparison result, and then is converted into the ranking value H2 in multiple environments, and these two parameters are used as one of the evaluation statistics [7,8] of the yield performance. Through multiple comparisons of the significant differences in the rank averages among the varieties, the high yield of the varieties was evaluated and the influence of the experimental errors on the sorting of the varieties was reduced.…”

Section: Introductionmentioning

confidence: 99%

Grey Statistical Decision-making for Estimate of the Regional Wheat Trials Yield

Gao¹

2018

Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)

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The regional wheat trials are used to objectively, fairly, and scientifically evaluate the yield and other characteristics of new wheat varieties grown in different wheat regions, and provide important scientific basis for the validation, ecological zoning, species distribution, and rational use of wheat varieties. It can accelerate the promotion of new wheat varieties. The evaluation of regional trial results is of great significance for further improving the scientificity and accuracy of the species trial. Grey statistical decision-making of grey system theory can fully weigh the trial results in different places and make a reasonable assessment of wheat varieties. In this paper, the method used to estimate the regional wheat trials yield is proposed, and 12 varieties of wheat varieties were evaluated with examples. The results were credible. Grey statistical Decisionmaking assessment method for the regional trial yield of wheat varieties proposed in this paper provides a practical method for the evaluation of regional wheat trial.

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Section: Introductionmentioning

confidence: 99%

Grey Statistical Decision-making for Estimate of the Regional Wheat Trials Yield

Gao¹

2018

Proceedings of the 2018 3rd International Conference on Electrical, Automation and Mechanical Engineering (EAME 2018)

View full text Add to dashboard Cite

show abstract

Texture analysis method using regional rank coding

Cited by 1 publication

References 13 publications

Grey Statistical Decision-making for Estimate of the Regional Wheat Trials Yield

Grey Statistical Decision-making for Estimate of the Regional Wheat Trials Yield

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