Dynamic Compressive Stress Relaxation Model of Tomato Fruit Based on Long Short-Term Memory Model
文献类型: 外文期刊
第一作者: Ru, Mengfei
作者: Ru, Mengfei;Zhao, Chunjiang;Feng, Qingchun;Sun, Na;Li, Yajun;Sun, Jiahui;Li, Jianxun;Ru, Mengfei;Feng, Qingchun;Zhao, Chunjiang
作者机构:
关键词: tomato; stress relaxation; machine learning; LSTM
期刊名称:FOODS ( 影响因子:4.7; 五年影响因子:5.1 )
ISSN:
年卷期: 2024 年 13 卷 14 期
页码:
收录情况: SCI
摘要: Tomatoes are prone to mechanical damage due to improper gripping forces during automated harvest and postharvest processes. To reduce this damage, a dynamic viscoelastic model based on long short-term memory (LSTM) is proposed to fit the dynamic compression stress relaxation characteristics of the individual fruit. Furthermore, the classical stress relaxation models involved, the triple-element Maxwell and Caputo fractional derivative models, are compared with the LSTM model to validate its performance. Meanwhile, the LSTM and classical stress relaxation models are used to predict the stress relaxation characteristics of tomato fruit with different fruit sizes and compression positions. The results for the whole test dataset show that the LSTM model achieves a RMSE of 2.829x10-5 Mpa and a MAPE of 0.228%. It significantly outperforms the Caputo fractional derivative model by demonstrating a substantial enhancement with a 37% decrease in RMSE and a 36% reduction in MAPE. Further analysis of individual tomato fruit reveals the LSTM model's performance, with the minimum RMSE recorded at the septum position being 3.438x10-5 Mpa, 31% higher than the maximum RMSE at the locule position. Similarly, the lowest MAPE at the septum stands at 0.375%, outperforming the highest MAPE at the locule position by a significant margin of 90%. Moreover, the LSTM model consistently reports the smallest discrepancies between the predicted and observed values compared to classical stress relaxation models. This accuracy suggests that the LSTM model could effectively supplant classical stress relaxation models for predicting stress relaxation changes in individual tomato fruit.
分类号:
- 相关文献
作者其他论文 更多>>
-
Staggered-Phase Spray Control: A Method for Eliminating the Inhomogeneity of Deposition in Low-Frequency Pulse-Width Modulation (PWM) Variable Spray
作者:Zhang, Chunfeng;Zhao, Chunjiang;Zhang, Chunfeng;Zhai, Changyuan;Zhang, Meng;Zhang, Chi;Zou, Wei;Zhao, Chunjiang;Zhang, Chunfeng;Zou, Wei;Zhai, Changyuan;Zhang, Meng;Zhao, Chunjiang
关键词:precision spray; variable spray; PWM; deposition; duty cycle; frequency
-
The draft genome of Nitzschia closterium f. minutissima and transcriptome analysis reveals novel insights into diatom biosilicification
作者:Li, Yajun;He, Jinman;Zhang, Xiuxia;Deng, Xiaodong;Li, Yajun;He, Jinman;Zhang, Xiuxia;Deng, Xiaodong
关键词:Biosilicification; Draft genome; Frustule; Nitzschia closterium f. minutissima; Transcriptome analysis
-
A novel electrochemical sensor for in situ and in vivo detection of sugars based on boronic acid-diol recognition
作者:Liu, Ke;Xu, Tongyu;Zhao, Chunjiang;Liu, Ke;Li, Aixue;Zhao, Chunjiang
关键词:Fructose; Glucose; Electrochemical biosensor; In situ; In vivo; Artificial neural network
-
Comparative analysis of stripe rust resistance in seedling stage and Yr gene incidence in spring and winter wheat from Xinjiang, China
作者:Lai, Hanlin;Li, Yue;Lai, Hanlin;Shen, Yuyang;Yang, Hong;Deng, Feifei;Chen, Li;Li, Guangkuo;Gao, Haifeng;Fernando, Dilantha W. G.;Ren, Chenrong;Lu, Yi;Wang, Huiqing;Sun, Na
关键词:wheat variety; disease resistance; molecular detection; Puccinia striiformis f. sp. tritici; Xinjiang
-
Eliminating Primacy Bias in Online Reinforcement Learning by Self-Distillation
作者:Li, Jingchen;Wu, Huarui;Zhao, Chunjiang;Shi, Haobin;Hwang, Kao-Shing
关键词:Online reinforcement learning; overfitting; reinforcement learning
-
Using high-throughput phenotype platform MVS-Pheno to reconstruct the 3D morphological structure of wheat
作者:Li, Wenrui;Zhao, Chunjiang;Li, Wenrui;Wu, Sheng;Wen, Weiliang;Lu, Xianju;Liu, Haishen;Zhang, Minggang;Xiao, Pengliang;Guo, Xinyu;Zhao, Chunjiang;Li, Wenrui;Wu, Sheng;Wen, Weiliang;Lu, Xianju;Liu, Haishen;Zhang, Minggang;Xiao, Pengliang;Guo, Xinyu
关键词:3D reconstruction; plant morphology; point cloud segmentation; Wheat
-
Study of metabolites dynamic variation during vine tea (Ampelopsis grossedentata) processing by untargeted metabolomics
作者:Li, Qianqian;Wang, Huawei;Chen, Shengfan;Li, Yi;Li, Jianxun;Zhang, Chaoyang;Wu, Lijun
关键词:Vine tea; Metabolomics; Tea processing; Quality; Critical metabolites