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Analysis of pest incidence on apple trees validated by unsupervised machine learning algorithms. Author(s): SPERANZA, E. A.; GREGO, C. R.; GEBLER, L. ABSTRACT. Integrated pest control is a practice commonly used in apple orchards in southern Brazil. This type of management is an important tool to help improve quality and increase yields. This study... ... Repository: BDPA Publication year: 2022
Detection of Staphylococcus aureus in milk samples using impedance spectroscopy and data processing with information visualization techniques and multidimensional calibration space. Author(s): SOARES, J. C.; SOARES, A. C.; POPOLIN-NETO, M.; PAULOVICH, F. V.; OLIVEIRA JR, O. N.; MATTOSO, L. H. C. Early diagnosis of cattle diseases such as mastitis caused by Staphylococcus aureus (S. aureus) can be made effective if on-site detection methods with portable instruments are available. In this work... ... Repository: BDPA Publication year: 2022
Hyperspectral imaging for the detection of plant pathogens in seeds: recent developments and challenges. Author(s): FERREIRA, L. C.; CARVALHO, I. C. B.; JORGE, L. A. de C.; QUEZADO-DUVAL, A. M.; ROSSATO, M. Food security, a critical concern amid global population growth, faces challenges in sustainable agricultural production due to significant yield losses caused by plant diseases, with a multitude of t... ... Repository: BDPA Publication year: 2024
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
Utilização de machine learning para classificação de plantas saudáveis e plantas submetidas ao estresse. Author(s): VIANA, J. V. S.; DANTAS, L. P.; PAULA, O. R. de; BARRETO, B. B.; MILORI, D. M. B. P. A integração de tecnologias na agricultura tem se tornado cada vez mais comum, trazendo consigo uma série de benefícios, desde o aumento da produtividade até contribuições para a sustentabilidade. Uma... ... Repository: BDPA Publication year: 2023
Digital mapping of Fe2O3, Nb and TiO2 contents in Morro dos Seis Lagos (AM). Author(s): RODRIGUES, N. B.; SILVA, J. C. L. da; PINHEIRO, H. S. K.; CARVALHO JUNIOR, W. de The study aimed to evaluate the performance of Multivariate Adaptive Regression Spline (MARS), Radial Support Vector Machine (svmRadial) and Random Forest (RF) models to predict the spatial distributi... ... Repository: BDPA Publication year: 2023
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
Automated body score assessment for dairy cows using depth image processing. Author(s): BENICIO, L. M.; XAVIER, D. B.; LIMA, I. B. G. de; CONDOTTA, I. C. F. da S.; LOPES, L. B. Abstract: The body condition score (BCS) is the most helpful system available to dairy farmers to assess the nutritional status of cows, as it indicates the body fat levels of the animals. Body condit... ... Repository: BDPA Publication year: 2023
Desempenho do Algoritmo de Classificação de Imagens Random Forest para Mapeamento do Uso e Cobertura do Solo no Cerrado Brasileiro. Author(s): CHO, D. F.; SCHWAIDA, S. F.; CICERELLI, R. E.; ALMEIDA, T.; RAMOS, A. P. M.; SANO, E. E. O Cerrado é um ecossistema altamente diversificado e fornece habitat para muitas espécies, porém, vem sofrendo degradação acentuada nas últimas décadas devido à expansão da produção de commodities agr... ... Repository: BDPA Publication year: 2021
Laser-induced breakdown spectroscopy associated with the design of experiments and machine learning for discrimination of Brachiaria brizantha seed vigor. Author(s): CIOCCIA, G.; MORAIS, C. P. de; BABOS, D. V.; MILORI, D. M. B. P.; ALVES, C. Z.; CENA, C.; NICOLODELLI, G.; MARANGONI, B. S. Laser-induced breakdown spectroscopy (LIBS) associated with machine learning algorithms (ML) was used to evaluate the Brachiaria seed physiological quality by discriminating the high and low vigor see... ... Repository: BDPA Publication year: 2022

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