Author:
Lu Lin,Hu Zhanqiang,Hu Xianqiao,Li Dan,Tian Shiyi
Reference94 articles.
1. Evaluation of image processing technique as an expert system in mulberry fruit grading based on ripeness level using artificial neural networks (ANNs) and support vector machine (SVM);Azarmdela;Postharvest Biology and Technology,2020
2. Monitoring aroma release in gummy candies during the storage using electronic nose;Ballen;Food Analytical Methods,2020
3. Partial least squares for discrimination;Barker;Journal of Chemometrics,2003
4. Electronic nose as a non-destructive tool to characterise peach cultivars and to monitor their ripening stage during shelf-life;Benedetti;Postharvest Biology and Technology,2008
5. Predicting copper concentrations in acid mine drainage: A comparative analysis of five machine learning techniques;Betrie;Environmental Monitoring and Assessment,2013
Cited by
82 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献