Embrapa Agricultura Digital (CNPTIA)
URI permanente para esta colecciónhttp://hdl.handle.net/123456789/453975
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13 resultados
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Ítem Deep learning-based UAV framework for automated morphological and growth analysis of feedlot cattle.YAN, J.; TETILA, E. C.; ZHAO, L.; GONÇALVES, R. C.; CASTANHEIRO, L. F.; VALEM, L. P.; BARBEDO, J. G. A.Ítem Hail netting in apple orchards: current knowledge, research gaps, and perspectives for digital agriculture.FURUYA, D. E. G.; BOLFE, E. L.; SILVEIRA, F. da; BARBEDO, J. G. A.; SILVA, T. L. da; ROMANI, L. A. S.; CASTANHEIRO, L. F.; GEBLER, L.Ítem Combination of remote sensing and artificial intelligence in fruit growing: progress, challenges, and potential applications.FURUYA, D. E. G.; BOLFE, E. L.; PARREIRAS, T. C.; BARBEDO, J. G. A.; SANTOS, T. T.; GEBLER, L.Ítem YOLO performance analysis for real-time detection of soybean pests.TETILA, E. C.; SILVEIRA, F. A. G. da; COSTA, A. B. da; AMORIM, W. P.; ASTOLFI, G.; PISTORI, H.; BARBEDO, J. G. A.Ítem Deep learning for soybean monitoring and management.BARBEDO, J. G. A.Ítem Cattle detection using oblique UAV images.BARBEDO, J. G. A.; KOENIGKAN, L. V.; SANTOS, P. M.Ítem A study on CNN-based detection of psyllids in sticky traps using multiple image data sources.BARBEDO, J. G. A.; CASTRO, G. B.