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 *

148 related articles for article (PubMed ID: 36501383)

  • 1. Water Stress Identification of Winter Wheat Crop with State-of-the-Art AI Techniques and High-Resolution Thermal-RGB Imagery.
    Chandel NS; Rajwade YA; Dubey K; Chandel AK; Subeesh A; Tiwari MK
    Plants (Basel); 2022 Dec; 11(23):. PubMed ID: 36501383
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Maize Canopy Temperature Extracted From UAV Thermal and RGB Imagery and Its Application in Water Stress Monitoring.
    Zhang L; Niu Y; Zhang H; Han W; Li G; Tang J; Peng X
    Front Plant Sci; 2019; 10():1270. PubMed ID: 31649715
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Linking plant and soil indices for water stress management in black gram.
    Khorsand A; Rezaverdinejad V; Asgarzadeh H; Majnooni-Heris A; Rahimi A; Besharat S; Sadraddini AA
    Sci Rep; 2021 Jan; 11(1):869. PubMed ID: 33441705
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Automatic detection of regions in spinach canopies responding to soil moisture deficit using combined visible and thermal imagery.
    Raza SE; Smith HK; Clarkson GJ; Taylor G; Thompson AJ; Clarkson J; Rajpoot NM
    PLoS One; 2014; 9(6):e97612. PubMed ID: 24892284
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Use of thermal and visible imagery for estimating crop water status of irrigated grapevine.
    Möller M; Alchanatis V; Cohen Y; Meron M; Tsipris J; Naor A; Ostrovsky V; Sprintsin M; Cohen S
    J Exp Bot; 2007; 58(4):827-38. PubMed ID: 16968884
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Combining biophysical parameters with thermal and RGB indices using machine learning models for predicting yield in yellow rust affected wheat crop.
    Singh RN; Krishnan P; Singh VK; Sah S; Das B
    Sci Rep; 2023 Nov; 13(1):18814. PubMed ID: 37914800
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Utilization of thermal infrared image for inversion of winter wheat yield and biomass.
    Du WY; Zhang LD; Hu ZF; Shamaila Z; Zeng AJ; Song JL; Liu YJ; Wolfram S; Joachim M; He XK
    Guang Pu Xue Yu Guang Pu Fen Xi; 2011 Jun; 31(6):1476-80. PubMed ID: 21847913
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Improved estimation of aboveground biomass in wheat from RGB imagery and point cloud data acquired with a low-cost unmanned aerial vehicle system.
    Lu N; Zhou J; Han Z; Li D; Cao Q; Yao X; Tian Y; Zhu Y; Cao W; Cheng T
    Plant Methods; 2019; 15():17. PubMed ID: 30828356
    [TBL] [Abstract][Full Text] [Related]  

  • 9. In-Season Cotton Yield Prediction with Scale-Aware Convolutional Neural Network Models and Unmanned Aerial Vehicle RGB Imagery.
    Niu H; Peddagudreddygari JR; Bhandari M; Landivar JA; Bednarz CW; Duffield N
    Sensors (Basel); 2024 Apr; 24(8):. PubMed ID: 38676047
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Estimation of Wheat Plant Density at Early Stages Using High Resolution Imagery.
    Liu S; Baret F; Andrieu B; Burger P; Hemmerlé M
    Front Plant Sci; 2017; 8():739. PubMed ID: 28559901
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Using machine learning models to estimate Escherichia coli concentration in an irrigation pond from water quality and drone-based RGB imagery data.
    Hong SM; Morgan BJ; Stocker MD; Smith JE; Kim MS; Cho KH; Pachepsky YA
    Water Res; 2024 Aug; 260():121861. PubMed ID: 38875854
    [TBL] [Abstract][Full Text] [Related]  

  • 12. An ensemble deep learning models approach using image analysis for cotton crop classification in AI-enabled smart agriculture.
    Shahid MF; Khanzada TJS; Aslam MA; Hussain S; Baowidan SA; Ashari RB
    Plant Methods; 2024 Jul; 20(1):104. PubMed ID: 39004764
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Capability of crop water content for revealing variability of winter wheat grain yield and soil moisture under limited irrigation.
    Zhang C; Liu J; Shang J; Cai H
    Sci Total Environ; 2018 Aug; 631-632():677-687. PubMed ID: 29539596
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Crop Water Content of Winter Wheat Revealed with Sentinel-1 and Sentinel-2 Imagery.
    Han D; Liu S; Du Y; Xie X; Fan L; Lei L; Li Z; Yang H; Yang G
    Sensors (Basel); 2019 Sep; 19(18):. PubMed ID: 31533327
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prediction of wheat SPAD using integrated multispectral and support vector machines.
    Wang W; Sun N; Bai B; Wu H; Cheng Y; Geng H; Song J; Zhou J; Pang Z; Qian S; Zeng W
    Front Plant Sci; 2024; 15():1405068. PubMed ID: 38966145
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Extraction of 3D distribution of potato plant CWSI based on thermal infrared image and binocular stereovision system.
    Wang L; Miao Y; Han Y; Li H; Zhang M; Peng C
    Front Plant Sci; 2022; 13():1104390. PubMed ID: 36762177
    [TBL] [Abstract][Full Text] [Related]  

  • 17. The use of Multispectral Radio-Meter (MSR5) data for wheat crop genotypes identification using machine learning models.
    Jamil M; Rehman H; Saqlain Zaheer M; Tariq A; Iqbal R; Hasnain MU; Majeed A; Munir A; Sabagh AE; Habib Ur Rahman M; Raza A; Ajmal Ali M; Elshikh MS
    Sci Rep; 2023 Nov; 13(1):19867. PubMed ID: 37963968
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Estimation of Winter Wheat Yield in Arid and Semiarid Regions Based on Assimilated Multi-Source Sentinel Data and the CERES-Wheat Model.
    Liu Z; Xu Z; Bi R; Wang C; He P; Jing Y; Yang W
    Sensors (Basel); 2021 Feb; 21(4):. PubMed ID: 33578703
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Assessment of Soybean Lodging Using UAV Imagery and Machine Learning.
    Sarkar S; Zhou J; Scaboo A; Zhou J; Aloysius N; Lim TT
    Plants (Basel); 2023 Aug; 12(16):. PubMed ID: 37631105
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prediction of Chlorophyll Content in Multi-Temporal Winter Wheat Based on Multispectral and Machine Learning.
    Wang W; Cheng Y; Ren Y; Zhang Z; Geng H
    Front Plant Sci; 2022; 13():896408. PubMed ID: 35712585
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.