Skip to main content
← Back to work

Works cited by this work

46 works

Work: Effectiveness of machine learning and deep learning models at county-level soybean yield forecasting

  1. XGBoost

    Tianqi Chen, Carlos Guestrin

    Article201639 citations
    ABI
  2. The DSSAT cropping system model

    J. W. Jones, Gerrit Hoogenboom, Cheryl Porter +7

    Article20028 citations
    ABI
  3. Regression Shrinkage and Selection Via the Lasso

    Robert Tibshirani

    Article19967 citations
    ABI
  4. Machine Learning in Agriculture: A Review

    Κωνσταντίνος Λιάκος, Patrizia Busato, Dimitrios Moshou +2

    Review article20186 citations
    ABI
  5. High resolution wheat yield mapping using Sentinel-2

    Merryn Hunt, George Alan Blackburn, Luis Carrasco +2

    Article20194 citations
    ABI
  6. Crop Yield Prediction Using Deep Neural Networks

    Saeed Khaki, Lizhi Wang

    Article20193 citations
    ABI
  7. An overview of APSIM, a model designed for farming systems simulation

    B. A. Keating, Peter Carberry, Graeme Hammer +20

    Article20023 citations
    ABI
  8. County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model

    Jie Sun, Liping Di, Ziheng Sun +2

    Article20192 citations
    ABI
  9. 1D convolutional neural networks and applications: A survey

    Kiranyaz, Mustafa Serkan, Onur Avcı, Osama Abdeljaber +3

    Article20222 citations
    ABI
  10. Untitled

    Other1 citations
    ABI
  11. Untitled

    Other1 citations
    ABI
  12. Untitled

    Other1 citations
    ABI
  13. Untitled

    Other1 citations
    ABI
  14. Untitled

    Other1 citations
    ABI
  15. Untitled

    Other1 citations
    ABI
  16. Untitled

    Other1 citations
    ABI
  17. Untitled

    Other1 citations
    ABI