These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

123 related articles for article (PubMed ID: 36236233)

  • 1. Development of an Intelligent Imaging System for Ripeness Determination of Wild Pistachios.
    Kheiralipour K; Nadimi M; Paliwal J
    Sensors (Basel); 2022 Sep; 22(19):. PubMed ID: 36236233
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Intelligent color vision system for ripeness classification of oil palm fresh fruit bunch.
    Fadilah N; Mohamad-Saleh J; Abdul Halim Z; Ibrahim H; Syed Ali SS
    Sensors (Basel); 2012 Oct; 12(10):14179-95. PubMed ID: 23202043
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Development of a Dual MOS Electronic Nose/Camera System for Improving Fruit Ripeness Classification.
    Chen LY; Wu CC; Chou TI; Chiu SW; Tang KT
    Sensors (Basel); 2018 Sep; 18(10):. PubMed ID: 30262785
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Multispectral vision for monitoring peach ripeness.
    Herrero-Langreo A; Lunadei L; LleĆ³ L; Diezma B; Ruiz-Altisent M
    J Food Sci; 2011 Mar; 76(2):E178-87. PubMed ID: 21535757
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Detection of ripeness grades of berries using an electronic nose.
    Aghilinategh N; Dalvand MJ; Anvar A
    Food Sci Nutr; 2020 Sep; 8(9):4919-4928. PubMed ID: 32994953
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Advances in Non-Destructive Early Assessment of Fruit Ripeness towards Defining Optimal Time of Harvest and Yield Prediction-A Review.
    Li B; Lecourt J; Bishop G
    Plants (Basel); 2018 Jan; 7(1):. PubMed ID: 29320410
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Fusion of fruit image processing and deep learning: a study on identification of citrus ripeness based on R-LBP algorithm and YOLO-CIT model.
    Wang C; Han Q; Li C; Zou T; Zou X
    Front Plant Sci; 2024; 15():1397816. PubMed ID: 38903428
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The Novel Combination of Nano Vector Network Analyzer and Machine Learning for Fruit Identification and Ripeness Grading.
    Tran VL; Doan TNC; Ferrero F; Huy TL; Le-Thanh N
    Sensors (Basel); 2023 Jan; 23(2):. PubMed ID: 36679749
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Classification of oil palm fresh fruit maturity based on carotene content from Raman spectra.
    Raj T; Hashim FH; Huddin AB; Hussain A; Ibrahim MF; Abdul PM
    Sci Rep; 2021 Sep; 11(1):18315. PubMed ID: 34526627
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Influence of ripeness and drying process on the polyphenols and tocopherols of Pistacia vera L.
    Ballistreri G; Arena E; Fallico B
    Molecules; 2009 Oct; 14(11):4358-69. PubMed ID: 19924070
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Improved maturity and ripeness classifications of Magnifera Indica cv. Harumanis mangoes through sensor fusion of an electronic nose and acoustic sensor.
    Zakaria A; Shakaff AY; Masnan MJ; Saad FS; Adom AH; Ahmad MN; Jaafar MN; Abdullah AH; Kamarudin LM
    Sensors (Basel); 2012; 12(5):6023-48. PubMed ID: 22778629
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Oil Palm Fruits Ripeness Classification Based on the Characteristics of Protein, Lipid, Carotene, and Guanine/Cytosine from the Raman Spectra.
    Tzuan GTH; Hashim FH; Raj T; Baseri Huddin A; Sajab MS
    Plants (Basel); 2022 Jul; 11(15):. PubMed ID: 35893639
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Fruit Battery Method for Oil Palm Fruit Ripeness Sensor and Comparison with Computer Vision Method.
    Aliteh NA; Minakata K; Tashiro K; Wakiwaka H; Kobayashi K; Nagata H; Misron N
    Sensors (Basel); 2020 Jan; 20(3):. PubMed ID: 31979252
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Integrated Fruit Ripeness Assessment System Based on an Artificial Olfactory Sensor and Deep Learning.
    Zhao M; You Z; Chen H; Wang X; Ying Y; Wang Y
    Foods; 2024 Mar; 13(5):. PubMed ID: 38472906
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Integrating deep learning with non-destructive thermal imaging for precision guava ripeness determination.
    Low ES; Ong P; Sim JQ; Sia CK; Ismon M
    J Sci Food Agric; 2024 May; ():. PubMed ID: 38804719
    [TBL] [Abstract][Full Text] [Related]  

  • 16. 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]  

  • 17. Application of multispectral imaging to determine quality attributes and ripeness stage in strawberry fruit.
    Liu C; Liu W; Lu X; Ma F; Chen W; Yang J; Zheng L
    PLoS One; 2014; 9(2):e87818. PubMed ID: 24505317
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Intelligent flexible manipulator system based on flexible tactile sensing (IFMSFTS) for kiwifruit ripeness classification.
    Qin L; Zhang J; Stevan S; Xing S; Zhang X
    J Sci Food Agric; 2024 Jan; 104(1):273-285. PubMed ID: 37556169
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Dietary fiber, starch, and sugars in bananas at different stages of ripeness in the retail market.
    Phillips KM; McGinty RC; Couture G; Pehrsson PR; McKillop K; Fukagawa NK
    PLoS One; 2021; 16(7):e0253366. PubMed ID: 34237070
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Stochastic Decision Fusion of Convolutional Neural Networks for Tomato Ripeness Detection in Agricultural Sorting Systems.
    Ko K; Jang I; Choi JH; Lim JH; Lee DU
    Sensors (Basel); 2021 Jan; 21(3):. PubMed ID: 33572942
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.