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Showing 1 to 7 of 7 for “"crop conditions"”.

  1. Informing on Crop Water-Use, Stress, and Growth with Integrated Satellite Remote Sensing and Modeling

    <p>Improving crop monitoring, both spatially and temporally, is a key factor in adapting agriculture to the effects of seasonal variability and climate change. Since 2014, numerous space-based remote sensing platforms have been deployed to increase land surface monitoring, with an objective to …

    cuny-grad Repository record for Informing on Crop Water-Use, Stress, and Growth with Integrated Satellite Remote Sensing and Modeling (opens in a new tab)

  2. Mathematical model for improved mass flow estimation in the feeder housing of a forage harvester

    … to make because of variability in yield and crop conditions within each field. One way to estimate mass flow rate in a self-propelled forage harvester is to measure the displacement of feed rollers as material enters the machine. In this work, a mathematical model that captures the …

    uiuc Repository record for Mathematical model for improved mass flow estimation in the feeder housing of a forage harvester (opens in a new tab)

  3. A Comparison of Corn Yield Forecasting Models

    … subjective model is developed by adding a USDA crop conditions index (CCI) variable. The models are estimated weekly between weeks 24 and 36 of the calendar year. The three models are compared using several different criteria. Examinations of adjusted R2 values, F-test values, and root Mean …

    sdstate Repository record for A Comparison of Corn Yield Forecasting Models (opens in a new tab)

  4. A Comparison of Corn Yield Forecasting Models

    … subjective model is developed by adding a USDA crop conditions index (CCI) variable. The models are estimated weekly between weeks 24 and 36 of the calendar year. The three models are compared using several different criteria. Examinations of adjusted R2 values, F-test values, and root Mean …

    sdstate Repository record for A Comparison of Corn Yield Forecasting Models (opens in a new tab)

  5. Polarimetric SAR for the monitoring of agricultural crops

    The monitoring of agricultural crops is a matter of great importance. Remote sensing has been unanimously recognized as one of the most important techniques for agricultural crops monitoring. Within the framework of active remote sensing, the capabilities of the Synthetic Aperture Radar (SAR) to …

    cagliari Repository record for Polarimetric SAR for the monitoring of agricultural crops (opens in a new tab)

  6. Use of remote sensing to estimate soil salinity and evapotranspiration in agricultural fields

    … salinity levels in agricultural lands based on crop conditions and evapotranspiration (ET) using satellite imagery. Elevated levels of soil salinity affect the growth of most crops as well as their appearance. For this research, satellite images of the study area, the Arkansas River Basin in …

    colostate Repository record for Use of remote sensing to estimate soil salinity and evapotranspiration in agricultural fields (opens in a new tab)

  7. US yield forecasting using crop condition ratings

    … between US average yield for the five main crops grown in the United States, corn, soybeans, upland cotton, winter wheat, and spring wheat, and crop condition ratings from 1986 to 2015. Three statistical models were tested, the first one including all categories of condition ratings, a …

    uiuc Repository record for US yield forecasting using crop condition ratings (opens in a new tab)