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Análise de nutrientes em mudas de Nó-de-Cachorro (Heteropterys aphrodisiaca O. Mach.) cultivadas em diferentes substratos. Author(s): BORGES, S. G. V.; JORGE, M. H. A.; GALVANI, F.; GAERTNER, E.; COSTA, A. A. A. da A espécie Heteropterys aphrodisíaca O. Mach (Nó -de-cachorro) é tida como planta medicinal de grande importância devido as suas atribuições curativas de enfermidades. Contudo, a parte fitotécnica aind... ... Repository: BDPA Publication year: 2007
Germinação, emergência e vigor de sementes e plântulas de Nó-de cachorro (Heteropterys aphrodisiaca O. Mach.). Author(s): ALMEIDA, W. B. DE.; JORGE, M. H. A.; BORSATO, A. V.; CASTRO, A. R. R. DE. Repository: BDPA Publication year: 2010
Efeito da temperatura e do tempo de embebição na qualidade de sementes e plântulas de nó-de-cachorro. Author(s): JORGE, M. H. A.; COSTA, E.; ROUWS, J. R. C. Repository: BDPA Publication year: 2014
Processamento de imagem de fluorescência para identificar presença de nematoide na cultura do algodão Author(s): RUFINO, V. G.; CHIARELLI, M.; PAULA, O. R. de; DANTAS, L. P.; BARRETO, B. B.; MILORI, D. M. B. P. Aimagem de fluorescência é uma técnica fotônica que permite identificar a assinatura espectral de uma planta. A técnica está embasada no reconhecimento de padrões das imagens de fluorescência, que são... ... Repository: BDPA Publication year: 2024
Integrating GIS and remote sensing for soil attributes mapping in degraded pastures of the Brazilian Cerrado. Author(s): LOUZADA, R. O.; BERGIER, I.; BOLFE, E. L.; BARBEDO, J. G. A. Abstract: Remote sensing is a crucial tool for soil assessment, yet soil complexity and sensor limitations hinder accurate analysis. This study integrates active and passive remote sensing data with M... ... Repository: BDPA Publication year: 2025
Advancing Hydrogel-Based 3D Cell Culture Systems: Histological Image Analysis and AI-Driven Filament Characterization. Author(s): ARAUJO NETO, L. A.; FREIRE, A. M.; SILVA, L. P. da Background: Machine learning is used to analyze images by training algorithms on data to recognize patterns and identify objects, with applications in various fields, such as medicine, security, and a... ... Repository: BDPA Publication year: 2025
Predicting sugarcane yield through temporal analysis of satellite imagery during the growth phase. Author(s): VASCONCELOS, J. C. S.; ARANTES, C. S.; SPERANZA, E. A.; ANTUNES, J. F. G.; BARBOSA, L. A. F.; CANÇADO, G. M. de A. This research investigates how to estimate sugarcane (Saccharum officinarum L.) yield at harvest by using an average satellite image time-series collected during the growth phase. This study aims to e... ... Repository: BDPA Publication year: 2025
Morte dos ponteiros de erva-mate causadas por espécies de Fusarium. Author(s): BILENKI JUNIOR, V.; AUER, C. G.; TESSMANN, D. J.; JAREK, T. M.; SANTOS, A. F. dos Repository: BDPA Publication year: 2023
Spatial distribution of elements in lateritic soils from a rare siderite carbonatite formation in the Brazilian Amazon using remotely sensed data and topographic attributes. Author(s): RODRIGUES, N.; RODRIGUES, H.; MANCINI, M.; PINHEIRO, H.; CARVALHO JUNIOR, W. de; LIBOHOVA, Z.; OWENS, P. The goal was to study the laterization process undergoing on a rare siderite carbonatite parent material by assessing the spatial distribution of Fe2O3, Nb, TiO2, and W using machine learning. Repository: BDPA Publication year: 2024
Forecasting insect abundance using time series embedding and machine learning. Author(s): PALMA, G. R.; MELLO, R. F.; GODOY, W. A.; ENGEL, E.; LAU, D.; MARKHAM, C.; MORAL, R. A. Implementing insect monitoring systems provides an excellent opportunity to create accurate interventions for insect control. However, selecting the appropriate time for an intervention is still an op... ... Repository: BDPA Publication year: 2024

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