00958naa a2200241 a 450000100080000000500110000800800410001902400470006010000220010724500800012926000090020952002640021865000280048265000100051065000190052065000160053965300250055565300210058065300180060165300190061965300290063877300490066721612542024-02-06       2023    bl uuuu     u00u1 u    #d7 ahttps://doi.org/10.3390/ seeds20300262DOI1 aBARBEDO, J. G. A.  aDeep learning for soybean monitoring and management.h[electronic resource]  c2023  aThis 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.  aArtificial intelligence  aCrops  aDigital images  aGlycine Max  aAprendizado profundo  aCulturas de soja  aDeep learning  aImagem digital  aInteligência artificial  tSeedsgv. 2, n. 3, p. 340–356, Sept. 2023.