SOYBEAN YIELD MONITORING FROM REMOTE SENSORS
Keywords:
absorbed radiation, remote sensing, soybean crops, conversion efficiencyAbstract
This work seeks to generate models that allow forecasting pre-harvest soybean crop yield. The impact of meteorological factors on the variability of Conversion Efficiency (CE) will be explored. The contribution of Absorbed Photosynthetically Active Radiation Absorbed (APAR) and CE in the prediction of these models will be analyzed, and how phenology influences this process. In addition, the pre-harvest prediction capacity and scope of these models will be evaluated.
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