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46 та иш

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

  1. XGBoost

    Tianqi Chen, Carlos Guestrin

    Мақола201639 иқтибос
    ABI

  2. The DSSAT cropping system model

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

    Мақола20028 иқтибос
    ABI

  3. Regression Shrinkage and Selection Via the Lasso

    Robert Tibshirani

    Мақола19967 иқтибос
    ABI

  4. Data-Driven Decision Making in Precision Agriculture: The Rise of Big Data in Agricultural Systems

    Nicoleta Tantalaki, Stavros Souravlas, Μanos Roumeliotis

    Мақола20196 иқтибос
    ABI

  5. Machine Learning in Agriculture: A Review

    Κωνσταντίνος Λιάκος, Patrizia Busato, Dimitrios Moshou +2

    Шарҳ мақола20186 иқтибос
    ABI

  6. Application of Vegetation Indices for Agricultural Crop Yield Prediction Using Neural Network Techniques

    Sudhanshu Panda, Daniel P. Ames, Suranjan Panigrahi

    Мақола20105 иқтибос
    ABI

  7. High resolution wheat yield mapping using Sentinel-2

    Merryn Hunt, George Alan Blackburn, Luis Carrasco +2

    Мақола20194 иқтибос
    ABI

  8. Combining PlanetScope and Sentinel-2 images with environmental data for improved wheat yield estimation

    Nizom Farmonov, Khilola Amankulova, József Szatmári +4

    МақолаRemote Sensing in AgricultureInternational Journal of Digital Earth20233 иқтибос
    ABI

  9. Crop Yield Prediction Using Deep Neural Networks

    Saeed Khaki, Lizhi Wang

    Мақола20193 иқтибос
    ABI

  10. Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches

    Yaping Cai, Kaiyu Guan, David B. Lobell +8

    Мақола20193 иқтибос
    ABI

  11. An overview of APSIM, a model designed for farming systems simulation

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

    Мақола20023 иқтибос
    ABI

  12. The Application of Multiple Linear Regression and Artificial Neural Network Models for Yield Prediction of Very Early Potato Cultivars before Harvest

    Magdalena Piekutowska, Gniewko Niedbała, T. Piskier +5

    Мақола20213 иқтибос
    ABI

  13. County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model

    Jie Sun, Liping Di, Ziheng Sun +2

    Мақола20192 иқтибос
    ABI

  14. Comparative assessment of environmental variables and machine learning algorithms for maize yield prediction in the US Midwest

    Yanghui Kang, Mutlu Özdoğan, Xiaojin Zhu +3

    Мақола20202 иқтибос
    ABI

  15. Machine learning algorithms for soybean yield forecasting in the Brazilian Cerrado

    Valter Barbosa dos Santos, Aline Moreno Ferreira dos Santos, José Reinaldo da Silva Cabral de Moraes +2

    Мақола20212 иқтибос
    ABI

  16. Monitoring US agriculture: the US Department of Agriculture, National Agricultural Statistics Service, Cropland Data Layer Program

    Claire G. Boryan, Zhengwei Yang, Rick Mueller +1

    Мақола20112 иқтибос
    ABI

  17. 1D convolutional neural networks and applications: A survey

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

    Мақола20222 иқтибос
    ABI

  18. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  19. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  20. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  21. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  22. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  23. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  24. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI

  25. Сарлавҳасиз

    Бошқа1 иқтибос
    ABI