155 related articles for article (PubMed ID: 35586212)
1. Deep Learning and Hyperspectral Images Based Tomato Soluble Solids Content and Firmness Estimation.
Xiang Y; Chen Q; Su Z; Zhang L; Chen Z; Zhou G; Yao Z; Xuan Q; Cheng Y
Front Plant Sci; 2022; 13():860656. PubMed ID: 35586212
[TBL] [Abstract][Full Text] [Related]
2. Application of Hyperspectral Imaging for Maturity and Soluble Solids Content Determination of Strawberry With Deep Learning Approaches.
Su Z; Zhang C; Yan T; Zhu J; Zeng Y; Lu X; Gao P; Feng L; He L; Fan L
Front Plant Sci; 2021; 12():736334. PubMed ID: 34567050
[TBL] [Abstract][Full Text] [Related]
3. Combining Vis-NIR and NIR Spectral Imaging Techniques with Data Fusion for Rapid and Nondestructive Multi-Quality Detection of Cherry Tomatoes.
Tan F; Mo X; Ruan S; Yan T; Xing P; Gao P; Xu W; Ye W; Li Y; Gao X; Liu T
Foods; 2023 Sep; 12(19):. PubMed ID: 37835274
[TBL] [Abstract][Full Text] [Related]
4. Hyperspectral Imaging Using a Convolutional Neural Network with Transformer for the Soluble Solid Content and pH Prediction of Cherry Tomatoes.
Qi H; Li H; Chen L; Chen F; Luo J; Zhang C
Foods; 2024 Jan; 13(2):. PubMed ID: 38254552
[TBL] [Abstract][Full Text] [Related]
5. Estimation Method of Soluble Solid Content in Peach Based on Deep Features of Hyperspectral Imagery.
Yang B; Gao Y; Yan Q; Qi L; Zhu Y; Wang B
Sensors (Basel); 2020 Sep; 20(18):. PubMed ID: 32899646
[TBL] [Abstract][Full Text] [Related]
6. Hyperspectral Technique Combined With Deep Learning Algorithm for Prediction of Phenotyping Traits in Lettuce.
Yu S; Fan J; Lu X; Wen W; Shao S; Guo X; Zhao C
Front Plant Sci; 2022; 13():927832. PubMed ID: 35845657
[TBL] [Abstract][Full Text] [Related]
7. Non-destructive assessment of flesh firmness and dietary antioxidants of greenhouse-grown tomato (
Alenazi MM; Shafiq M; Alsadon AA; Alhelal IM; Alhamdan AM; Solieman THI; Ibrahim AA; Shady MR; Saad MAO
Saudi J Biol Sci; 2020 Oct; 27(10):2839-2846. PubMed ID: 32994744
[TBL] [Abstract][Full Text] [Related]
8. Spectral and image analysis of hyperspectral data for internal and external quality assessment of peach fruit.
Xuan G; Gao C; Shao Y
Spectrochim Acta A Mol Biomol Spectrosc; 2022 May; 272():121016. PubMed ID: 35158140
[TBL] [Abstract][Full Text] [Related]
9. Non-destructive detection of kiwifruit soluble solid content based on hyperspectral and fluorescence spectral imaging.
Xu L; Chen Y; Wang X; Chen H; Tang Z; Shi X; Chen X; Wang Y; Kang Z; Zou Z; Huang P; He Y; Yang N; Zhao Y
Front Plant Sci; 2022; 13():1075929. PubMed ID: 36743568
[TBL] [Abstract][Full Text] [Related]
10. Multimodal Deep Learning and Visible-Light and Hyperspectral Imaging for Fruit Maturity Estimation.
Garillos-Manliguez CA; Chiang JY
Sensors (Basel); 2021 Feb; 21(4):. PubMed ID: 33670232
[TBL] [Abstract][Full Text] [Related]
11. Hyperspectral Imaging for Predicting the Internal Quality of Kiwifruits Based on Variable Selection Algorithms and Chemometric Models.
Zhu H; Chu B; Fan Y; Tao X; Yin W; He Y
Sci Rep; 2017 Aug; 7(1):7845. PubMed ID: 28798306
[TBL] [Abstract][Full Text] [Related]
12. [Simultaneous Detection of External and Internal Quality Parameters of Huping Jujube Fruits using Hyperspectral Imaging Technology].
Xue JX; Zhang SJ; Zhang JJ
Guang Pu Xue Yu Guang Pu Fen Xi; 2015 Aug; 35(8):2297-302. PubMed ID: 26672312
[TBL] [Abstract][Full Text] [Related]
13. Hyperspectral Imaging with Machine Learning Approaches for Assessing Soluble Solids Content of Tribute Citru.
Li C; He M; Cai Z; Qi H; Zhang J; Zhang C
Foods; 2023 Jan; 12(2):. PubMed ID: 36673336
[TBL] [Abstract][Full Text] [Related]
14. Non-destructive assessment of soluble solids content in kiwifruit using hyperspectral imaging coupled with feature engineering.
Xu W; Wei L; Cheng W; Yi X; Lin Y
Front Plant Sci; 2024; 15():1292365. PubMed ID: 38357269
[TBL] [Abstract][Full Text] [Related]
15. Development of Multimodal Fusion Technology for Tomato Maturity Assessment.
Liu Y; Wei C; Yoon SC; Ni X; Wang W; Liu Y; Wang D; Wang X; Guo X
Sensors (Basel); 2024 Apr; 24(8):. PubMed ID: 38676084
[TBL] [Abstract][Full Text] [Related]
16. Research on hyperspectral regression method of soluble solids in green plum based on one-dimensional deep convolution network.
Zhou C; Zhang X; Liu Y; Ni X; Wang H; Liu Y
Spectrochim Acta A Mol Biomol Spectrosc; 2023 Dec; 303():123151. PubMed ID: 37523846
[TBL] [Abstract][Full Text] [Related]
17. Study on the detection of water status of tomato (
Zuo Z; Mu J; Li W; Bu Q; Mao H; Zhang X; Han L; Ni J
Front Plant Sci; 2023; 14():1094142. PubMed ID: 37324706
[TBL] [Abstract][Full Text] [Related]
18. Non-destructive prediction and visualization of anthocyanin content in mulberry fruits using hyperspectral imaging.
Li X; Wei Z; Peng F; Liu J; Han G
Front Plant Sci; 2023; 14():1137198. PubMed ID: 37051079
[TBL] [Abstract][Full Text] [Related]
19. A Comprehensive Evaluation of Tomato Fruit Quality and Identification of Volatile Compounds.
Zhang J; Liu S; Zhu X; Chang Y; Wang C; Ma N; Wang J; Zhang X; Lyu J; Xie J
Plants (Basel); 2023 Aug; 12(16):. PubMed ID: 37631159
[TBL] [Abstract][Full Text] [Related]
20. ResNet incorporating the fusion data of RGB & hyperspectral images improves classification accuracy of vegetable soybean freshness.
Bu Y; Hu J; Chen C; Bai S; Chen Z; Hu T; Zhang G; Liu N; Cai C; Li Y; Xuan Q; Wang Y; Su Z; Xiang Y; Gong Y
Sci Rep; 2024 Jan; 14(1):2568. PubMed ID: 38297076
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]