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52 та иш

Иш: Comparison of PlanetScope, Sentinel-2, and landsat 8 data in soybean yield estimation within-field variability with random forest regression

  1. Random Forests

    Leo Breiman

    Мақола200167 иқтибос
    ABI

  2. A soil-adjusted vegetation index (SAVI)

    Alfredo Huete

    Мақола198823 иқтибос
    ABI

  3. Red and photographic infrared linear combinations for monitoring vegetation

    Compton J. Tucker

    Мақола197919 иқтибос
    ABI

  4. Use of a green channel in remote sensing of global vegetation from EOS-MODIS

    Anatoly A. Gitelson, Yoram J. Kaufman, Mark N. Merzlyak

    Мақола199610 иқтибос
    ABI

  5. TerraClimate, a high-resolution global dataset of monthly climate and climatic water balance from 1958–2015

    John T. Abatzoglou, Solomon Z. Dobrowski, Sean A. Parks +1

    Мақола20189 иқтибос
    ABI

  6. Importance of phenological observations and predictions in agriculture

    M. Ruml, Todor Vulić

    Мақола20054 иқтибос
    ABI

  7. High resolution wheat yield mapping using Sentinel-2

    Merryn Hunt, George Alan Blackburn, Luis Carrasco +2

    Мақола20194 иқтибос
    ABI

  8. Satellite-based soybean yield forecast: Integrating machine learning and weather data for improving crop yield prediction in southern Brazil

    Raí Augusto Schwalbert, Telmo Jorge Carneiro Amado, Geomar Mateus Corassa +3

    Мақола20203 иқтибос
    ABI

  9. Time-series analysis of Sentinel-2 satellite images for sunflower yield estimation

    Khilola Amankulova, Nizom Farmonov, László Mucsi

    Мақола20223 иқтибос
    ABI

  10. Random forests: from early developments to recent advancements

    Khaled Fawagreh, Mohamed Medhat Gaber, Eyad Elyan

    Мақола20143 иқтибос
    ABI

  11. A comparison of random forest regression and multiple linear regression for prediction in neuroscience

    Paul F. Smith, Siva Ganesh, Ping Liu

    Мақола20133 иқтибос
    ABI

  12. Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture

    D. Haboudane

    Мақола20043 иқтибос
    ABI

  13. SEN2-AGRI – CROP TYPE MAPPING PILOT STUDY USING SENTINEL-2 SATELLITE IMAGERY IN INDIA

    D. Vijayasekaran

    Мақола20193 иқтибос
    ABI

  14. 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

  15. Using satellite data to identify the causes of and potential solutions for yield gaps in India’s Wheat Belt

    Meha Jain, Balwinder Singh, A A K Srivastava +3

    Мақола20172 иқтибос
    ABI

  16. Early season prediction of within-field crop yield variability by assimilating CubeSat data into a crop model

    Matteo G. Ziliani, M. U. Altaf, B. Aragon +6

    Мақола20212 иқтибос
    ABI

  17. Farming and Earth Observation: Sentinel-2 data to estimate within-field wheat grain yield

    Joel Segarra, J. L. Araus, Shawn C. Kefauver

    Мақола20222 иқтибос
    ABI

  18. An analysis of cropland mask choice and ancillary data for annual corn yield forecasting using MODIS data

    Yang Shao, James B. Campbell, Gregory N. Taff +1

    Мақола20152 иқтибос
    ABI

  19. Global estimation of crop productivity and the impacts of global warming by GIS and EPIC integration

    Guoxin Tan, Ryosuke Shibasaki

    Мақола20032 иқтибос
    ABI

  20. Ecosystem carbon fluxes and canopy spectral reflectance of a mountain meadow

    Damiano Gianelle, Loris Vescovo, Barbara Marcolla +2

    Мақола20082 иқтибос
    ABI

  21. Post-processing methods to eliminate erroneous grain yield measurements: review and directions for future development

    Greg Lyle, Brett A. Bryan, Bertram Ostendorf

    Мақола20132 иқтибос
    ABI

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

    Jie Sun, Liping Di, Ziheng Sun +2

    Мақола20192 иқтибос
    ABI

  23. Soybean yield prediction from UAV using multimodal data fusion and deep learning

    Maitiniyazi Maimaitijiang, Vasit Sagan, Paheding Sidike +3

    Мақола20192 иқтибос
    ABI

  24. Assessing the fidelity of Landsat-based fAPAR models in two diverse sugarcane growing regions

    Sybrand Jacobus Muller, P. Sithole, A. Singels +1

    Мақола20202 иқтибос
    ABI

  25. Optimal Soybean (Glycine max L.) Land Suitability Using GIS-Based Multicriteria Analysis and Sentinel-2 Multitemporal Images

    Dorijan Radočaj, Mladen Jurišić, Mateo Gašparović +1

    Мақола20202 иқтибос
    ABI