Advanced Stratification of Strawberry Maturity and Variety Through a Machine Learning Neural Network Model Based on the Volatile Organic Compounds

Author:

Huang Jing,Zhang Xuenan,Yang Hang,Li Zhenbiao,Xue Zhengfang,Wang Qingqing,Zhang Xinyuan,Ding Shenghua,Pan Fengshan,Luo Zisheng,Xu Yanqun

Publisher

Elsevier BV

Reference28 articles.

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2. XGBoost: A scalable tree boosting system;T Q Chen;Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining,2016

3. Colorimetric sensor array for white wine tasting;S Chung;Sensors,2015

4. Decision trees in selection of featured determined food quality;B D?bska;Analytica Chimica Acta,2011

5. Machine learning for storage duration based on volatile organic compounds emitted from 'Jukhyang' and 'Merry Queen' strawberries during post-harvest storage;E Do;Postharvest Biology and Technology,2024

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