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Author(s): PAULA, D. P.; LINARD, B.; ANDOW, D. A.; SUJII, E. R.; PIRES, C. S. S.; VOGLER, A. P. DNA methods are useful to identify ingested prey items from the gut of predators, but reliable detection is hampered by low amounts of degraded DNA. PCR-based methods can retrieve minute amounts of st... ... |
Author(s): TETILA, E. C.; SILVEIRA, F. A. G. da; COSTA, A. B. da; AMORIM, W. P.; ASTOLFI, G.; PISTORI, H.; BARBEDO, J. G. A. In this work, we evaluated the You Only Look Once (YOLO) architecture for real-time detection of soybean pests. |
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Author(s): GUIMARÃES-CESTARO, L.; SERRÃO, J. E.; MESSAGE, D.; MARTINS, M. F.; TEIXEIRA, É. W. Abstract Honey bees are responsible for pollinating many native and cultivated plant species. These insects can be affected by many pathogens, including fungi and bacteria, both of which can form spor... ... |
Author(s): CINTRA, L. C.; HONGO, J. A.; LOBO, F. P. In this study we integrated several third-party software code generated by our team to develop a pipeline which detects positive selection in groups of homologous genes. |
Author(s): BARBEDO, J. G. A.; KOENIGKAN, L. V.; SANTOS, P. M. The evolution in imaging technologies and artificial intelligence algorithms, coupled with improvements in UAV technology, has enabled the use of unmanned aircraft in a wide range of applications. The... ... |
Author(s): LAURI, A.; CHESSA, S.; RASCHETTI, M.; CASTIGLIONI, B.; MARIANI, P.; CAETANO, A. R.
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Author(s): RIGANO, L. A.; MARANO, M. R.; CASTAGNARO, A. P.; AMARAL, A. M. do; VOJNOV, A. A.
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Author(s): MELO, E. O.; SOUSA, R. V.; IGUMA, L. T.; FRANCO, M. M.; RECH FILHO, E. L.; RUMPF, R.
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