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Resultado 1-10 de 12.
Ano de publicaçãoTítuloAutor(es)
2020Cattle detection using oblique UAV images.BARBEDO, J. G. A.; KOENIGKAN, L. V.; SANTOS, P. M.
2020A study on CNN-based detection of psyllids in sticky traps using multiple image data sources.BARBEDO, J. G. A.; CASTRO, G. B.
2020Detecting and classifying pests in crops using proximal images and machine learning: a review.BARBEDO, J. G. A.
2020From visual estimates to fully automated sensor-based measurements of plant disease severity: status and challenges for improving accuracy.BOCK, C. H.; BARBEDO, J. G. A.; DEL PONTE, E. M.; BOHNENKAMP, D.; MAHLEIN, A. K.
2020Counting cattle in UAV images: dealing with clustered animals and animal/background contrast changes.BARBEDO, J. G. A.; KOENIGKAN, L. V.; SANTOS, P. M.; RIBEIRO, A. R. B.
2022A review on the use of computer vision and artificial intelligence for fish recognition, monitoring, and management.BARBEDO, J. G. A.
2023Using brainwave patterns recorded from plant pathology experts to increase the reliability of ai-based plant disease recognition system.MEIR, Y.; BARBEDO, J. G. A.; KEREN, O.; GODOY, C. V.; AMEDI, N.; SHALOM, Y.; GEVA, A. B.
2022Data fusion in agriculture: resolving ambiguities and closing data gaps.BARBEDO, J. G. A.
2023Deep learning for soybean monitoring and management.BARBEDO, J. G. A.
2021Deep learning architectures for semantic segmentation and automatic estimation of severity of foliar symptoms caused by diseases or pests.GONÇALVES, J. P.; PINTO, F. A. C.; QUEIROZ, D. M.; VILLAR, F. M. M.; BARBEDO, J. G. A.; DEL PONTE, E. M.
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