The use of machine learning methods in classification of pumpkin seeds (Cucurbita pepo L.)
Author:
Publisher
Springer Science and Business Media LLC
Subject
Plant Science,Genetics,Agronomy and Crop Science,Ecology, Evolution, Behavior and Systematics
Link
https://link.springer.com/content/pdf/10.1007/s10722-021-01226-0.pdf
Reference31 articles.
1. Aktaş N, Uzlaşır T, Tunçil YE (2018) Pre-roasting treatments significantly impact thermal and kinetic characteristics of pumpkin seed oil. Thermochim Acta. https://doi.org/10.1016/j.tca.2018.09.012
2. Arlot S, Celisse A (2010) A suvey of cross-validation procedures for model selection. Stat Surv. https://doi.org/10.1007/BF02506337
3. Bulut F (2016) Sınıflandırıcı Topluluklarının Dengesiz Veri Kümeleri Üzerindeki Performans Analizleri. Bilişim Teknolojileri Degisi. https://doi.org/10.17671/btd.81137
4. Chen X, Xun Y, Li W, Zhang J (2010) Combining discriminant analysis and neural networks for corn variety identification. Computers Electron Agric. https://doi.org/10.1016/j.compag.2009.09.003
5. Cruyff MJ, Böckenholt U, Van Der Heijden PG, Frank LE (2016) A review of regression procedures for randomized response data, including univariate and multivariate logistic regression, the proportional odds model and item response model, and self-protective responses. Handb Stat 34:287–315. https://doi.org/10.1016/bs.host.2016.01.016
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