Identifying soybean genotypes with artificial intelligence and near infrared reflectance
Ruan Bernardy,
Lázaro da Costa Corrêa Cañizares,
Silvia Leticia Rivero Meza
et al.
Abstract:With the increasing soybean production in Brazil, and the demand for soybeans with high protein and oil content, it is essential to conduct an in-depth study of the constituents of this grain, which can vary according to genotypes and growing conditions. Therefore, the objective of this study was to classify soybean genotypes, cultivated in different environments and sowing seasons, according to their chemical composition and the spectrum generated by near-infrared spectroscopy (NIRS). For this purpose, artifi… Show more
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