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Potential Use of Data-Driven Models to Estimate and Predict Soybean Yields at National Scale in Brazil

Leonardo A. Monteiro, Rafael M. Ramos,Rafael Battisti,Johnny R. Soares,Julianne C. Oliveira,Gleyce K. D. A. Figueiredo,Rubens A. C. Lamparelli,Claas Nendel,Marcos Alberto Lana

International Journal of Plant Production（2022）

Cited 6|Views8
Key words
Large-scale analysis,Machine learning approaches,Public databases,Geospatial and temporal variability,Climatic and soil variables
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