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Showing 1 to 3 of 3 for “"Soybean yield prediction"”.
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A phenology-guided deep learning framework for advanced soybean yield prediction in the Americas
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2027-05-01
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Supervised and self-supervised deep learning approaches for weed identification and soybean yield prediction
… innovative solution to weed detection and crop yield prediction. The study focuses on key weed species: Italian ryegrass in wheat, Palmer amaranth, and common ragweed in soybean, which are troublesome weeds in the United States. One of the most innovative components of this research is the debut …
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A tripartite study on Bayesian estimation of photosynthetically active radiation, impacts of future climate, and adaptation strategies on crop production: a spatial model framework for the Eastern Kansas River Basin
… framework to improve estimation of PAR for crop yield prediction in EKSRB. A county-level CERES-Maize crop model was calibrated and validated in the EKSRB to study the impacts of late century (2071-2100) future climate scenarios under the SSP245 emission pathway using the CMIP6 climate models. A …