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46 ta ish

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

  1. XGBoost

    Tianqi Chen, Carlos Guestrin

    Maqola201639 iqtibos
    ABI

  2. The DSSAT cropping system model

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

    Maqola20028 iqtibos
    ABI

  3. Regression Shrinkage and Selection Via the Lasso

    Robert Tibshirani

    Maqola19967 iqtibos
    ABI

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

    Nicoleta Tantalaki, Stavros Souravlas, Μanos Roumeliotis

    Maqola20196 iqtibos
    ABI

  5. Machine Learning in Agriculture: A Review

    Κωνσταντίνος Λιάκος, Patrizia Busato, Dimitrios Moshou +2

    Sharh maqola20186 iqtibos
    ABI

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

    Sudhanshu Panda, Daniel P. Ames, Suranjan Panigrahi

    Maqola20105 iqtibos
    ABI

  7. High resolution wheat yield mapping using Sentinel-2

    Merryn Hunt, George Alan Blackburn, Luis Carrasco +2

    Maqola20194 iqtibos
    ABI

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

    Nizom Farmonov, Khilola Amankulova, József Szatmári +4

    MaqolaRemote Sensing in AgricultureInternational Journal of Digital Earth20233 iqtibos
    ABI

  9. Crop Yield Prediction Using Deep Neural Networks

    Saeed Khaki, Lizhi Wang

    Maqola20193 iqtibos
    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

    Maqola20193 iqtibos
    ABI

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

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

    Maqola20023 iqtibos
    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

    Maqola20213 iqtibos
    ABI

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

    Jie Sun, Liping Di, Ziheng Sun +2

    Maqola20192 iqtibos
    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

    Maqola20202 iqtibos
    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

    Maqola20212 iqtibos
    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

    Maqola20112 iqtibos
    ABI

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

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

    Maqola20222 iqtibos
    ABI

  18. Sarlavhasiz

    Boshqa1 iqtibos
    ABI

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  25. Sarlavhasiz

    Boshqa1 iqtibos
    ABI