Agriculture

A data-driven simulation platform to predict cultivars' performances under uncertain weather conditions

G. D. L. Campos, P. Pérez-rodríguez, et al.

This innovative study by Gustavo de los Campos, Paulino Pérez-Rodríguez, Matthieu Bogard, David Gouache, and José Crossa presents a groundbreaking computer simulation platform that forecasts crop cultivars' performance under uncertain weather conditions by leveraging field trial data, DNA sequences, and historical weather records. The Monte Carlo methods applied enhance predictive accuracy, making it a valuable tool in agriculture.... show more

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