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 *

121 related articles for article (PubMed ID: 37063228)

  • 1. Using machine learning for crop yield prediction in the past or the future.
    Morales A; Villalobos FJ
    Front Plant Sci; 2023; 14():1128388. PubMed ID: 37063228
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Winter wheat yield prediction using convolutional neural networks from environmental and phenological data.
    Srivastava AK; Safaei N; Khaki S; Lopez G; Zeng W; Ewert F; Gaiser T; Rahimi J
    Sci Rep; 2022 Feb; 12(1):3215. PubMed ID: 35217689
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Machine learning algorithms for forecasting the incidence of Coffea arabica pests and diseases.
    de Oliveira Aparecido LE; de Souza Rolim G; da Silva Cabral De Moraes JR; Costa CTS; de Souza PS
    Int J Biometeorol; 2020 Apr; 64(4):671-688. PubMed ID: 31912306
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Prediction of mustard yield using different machine learning techniques: a case study of Rajasthan, India.
    Vashisth A; Goyal A
    Int J Biometeorol; 2023 Mar; 67(3):539-551. PubMed ID: 36717403
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Artificial intelligence framework for modeling and predicting crop yield to enhance food security in Saudi Arabia.
    Al-Adhaileh MH; Aldhyani THH
    PeerJ Comput Sci; 2022; 8():e1104. PubMed ID: 36262130
    [TBL] [Abstract][Full Text] [Related]  

  • 6. UAV-based multi-sensor data fusion and machine learning algorithm for yield prediction in wheat.
    Fei S; Hassan MA; Xiao Y; Su X; Chen Z; Cheng Q; Duan F; Chen R; Ma Y
    Precis Agric; 2023; 24(1):187-212. PubMed ID: 35967193
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Prediction of municipality-level winter wheat yield based on meteorological data using machine learning in Hokkaido, Japan.
    Murakami K; Shimoda S; Kominami Y; Nemoto M; Inoue S
    PLoS One; 2021; 16(10):e0258677. PubMed ID: 34662365
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A Hybrid Approach to Tea Crop Yield Prediction Using Simulation Models and Machine Learning.
    Batool D; Shahbaz M; Shahzad Asif H; Shaukat K; Alam TM; Hameed IA; Ramzan Z; Waheed A; Aljuaid H; Luo S
    Plants (Basel); 2022 Jul; 11(15):. PubMed ID: 35893629
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. A CNN-RNN Framework for Crop Yield Prediction.
    Khaki S; Wang L; Archontoulis SV
    Front Plant Sci; 2019; 10():1750. PubMed ID: 32038699
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Random Forests for Global and Regional Crop Yield Predictions.
    Jeong JH; Resop JP; Mueller ND; Fleisher DH; Yun K; Butler EE; Timlin DJ; Shim KM; Gerber JS; Reddy VR; Kim SH
    PLoS One; 2016; 11(6):e0156571. PubMed ID: 27257967
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Predicting daily emergency department visits using machine learning could increase accuracy.
    Gafni-Pappas G; Khan M
    Am J Emerg Med; 2023 Mar; 65():5-11. PubMed ID: 36574748
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prediction of Oil Palm Yield Using Machine Learning in the Perspective of Fluctuating Weather and Soil Moisture Conditions: Evaluation of a Generic Workflow.
    Khan N; Kamaruddin MA; Ullah Sheikh U; Zawawi MH; Yusup Y; Bakht MP; Mohamed Noor N
    Plants (Basel); 2022 Jun; 11(13):. PubMed ID: 35807648
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Deep Learning Based Prediction on Greenhouse Crop Yield Combined TCN and RNN.
    Gong L; Yu M; Jiang S; Cutsuridis V; Pearson S
    Sensors (Basel); 2021 Jul; 21(13):. PubMed ID: 34283083
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Assimilating MODIS data-derived minimum input data set and water stress factors into CERES-Maize model improves regional corn yield predictions.
    Ban HY; Ahn JB; Lee BW
    PLoS One; 2019; 14(2):e0211874. PubMed ID: 30802254
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Coupling machine learning and crop modeling improves crop yield prediction in the US Corn Belt.
    Shahhosseini M; Hu G; Huber I; Archontoulis SV
    Sci Rep; 2021 Jan; 11(1):1606. PubMed ID: 33452349
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Machine learning algorithms for soybean yield forecasting in the Brazilian Cerrado.
    Barbosa Dos Santos V; Moreno Ferreira Dos Santos A; da Silva Cabral de Moraes JR; de Oliveira Vieira IC; de Souza Rolim G
    J Sci Food Agric; 2022 Jul; 102(9):3665-3672. PubMed ID: 34893984
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Crop Yield Prediction Using Deep Neural Networks.
    Khaki S; Wang L
    Front Plant Sci; 2019; 10():621. PubMed ID: 31191564
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Predicting methane emission in Canadian Holstein dairy cattle using milk mid-infrared reflectance spectroscopy and other commonly available predictors via artificial neural networks.
    Shadpour S; Chud TCS; Hailemariam D; Plastow G; Oliveira HR; Stothard P; Lassen J; Miglior F; Baes CF; Tulpan D; Schenkel FS
    J Dairy Sci; 2022 Oct; 105(10):8272-8285. PubMed ID: 36055858
    [TBL] [Abstract][Full Text] [Related]  

  • 20. An intelligent decision support system for crop yield prediction using hybrid machine learning algorithms.
    Anbananthen KSM; Subbiah S; Chelliah D; Sivakumar P; Somasundaram V; Velshankar KH; Khan MKAA
    F1000Res; 2021; 10():1143. PubMed ID: 34987773
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 7.