JAYME GARCIA ARNAL BARBEDO, CNPTIA.2026-07-07http://hdl.handle.net/123456789/456747This review characterizes the current state of the art of deep learning applied to soybean crops, detailing the main advancements achieved so far and, more importantly, providing an in-depth analysis of the main challenges and research gaps that still remain.openAccessAprendizado profundoImagem digitalInteligência artificialCulturas de sojaDeep learningGlycine MaxDigital imagesCropsArtificial intelligenceArtigo de periódico