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InsectCV: a system for insect detection in the lab from trap images. Author(s): CESARO JÚNIOR, T. de; RIEDER, R.; DI DOMÊNICO, J. R.; LAU, D. Advances in artificial intelligence, computer vision, and high-performance computing have enabled the creation of efficient solutions to monitor pests and identify plant diseases. In this context, we... ... Repository: BDPA Publication year: 2021
From grape to wine: Fate of ochratoxin A during red, rose, and white winemaking process and the presence of ochratoxin derivatives in the final products. Author(s): FREIRE, L.; BRAGA, P. A. C.; FURTADO, M. M.; DELAFIORI, J.; DIAS-AUDIBERT, F. L.; PEREIRA, G. E.; REYES, F. D.; CATHARINO, R. R.; SANT'ANA, A. S. The presence of ochratoxin A (OTA) in wine is mainly due to the contamination of grapes by Aspergillus carbonarius and A. niger, still in the vineyard or at stages prior to winemaking. Throughout wine... ... Repository: BDPA Publication year: 2020
Influence of Maturation Stages in Different Varieties of Wine Grapes (Vitis vinifera) on the Production of Ochratoxin A and Its Modified Forms by Aspergillus carbonarius and Aspergillus niger. Author(s): FREIRA, L.; GUERREIRO, T. M.; CARAMÊS, E. T. S.; LOPES, L. L.; ORLANDO, E. A.; PEREIRA, G. E.; PALLONE, J. A. L.; CATHARINO, R. R.; SANT'ANA, A. S. Ochratoxin A is the main contaminant mycotoxin of grapes produced mainly by Aspergillus niger and Aspergillus carbonarius. Besides, it is possible that the formation of modified mycotoxin occurs throu... ... Repository: BDPA Publication year: 2018
Aprendizado auto-supervisionado de representações para monitoramento de pastagens por imagens em alta resolução. Author(s): SANTOS, T. T.; KOENIGKAN, L. V.; TAKEMURA, C. M.; SANTOS, P. M. Neste trabalho, apresentamos uma metodologia baseada em aprendizado auto-supervisionado de representações capazes de caracterizar pequenas amostras de pastagem (? 1 m²), permitindo varreduras aéreas e... ... Repository: BDPA Publication year: 2023
Cropland area estimates using Modis NDVI time series in the state of Mato Grosso, Brazil. Author(s): VICTORIA, D. de C.; PAZ, A. R. DA; COUTINHO, A. C.; KASTENS, J.; BROWN, J. C. The objective of this work was to evaluate a simple, semi‑automated methodology for mapping cropland areas in the state of Mato Grosso, Brazil. A Fourier transform was applied over a time series... ... Repository: BDPA Publication year: 2012
A review of deep learning algorithms for computer vision systems in livestock. Author(s): OLIVEIRA, D. A. B.; PEREIRA, L. G. R.; BRESOLIN, T.; FERREIRA, R. E. P.; DREA, J. R. R. In livestock operations, systematically monitoring animal body weight, bio-metric body measurements, animal behavior, feed bunk, and other difficult-to-measure phenotypes is manually unfeasible due to... ... Repository: BDPA Publication year: 2021

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