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Streamlined approaches for image classification using principal component analysis and hierarchical clustering of extrudates from coffee and sorghum blends. Author(s): CARVALHO, C. W. P. de; FREITAS-SILVA, O. This article describes simple methods to group images including principal component analysis (PCA) and hierarchical clustering of principal components (HCPC). Images of expanded and low expanded extru... ... Repository: BDPA Publication year: 2023
Biophotonics technical and analysis of image for coffee beans assessment. Author(s): CARDOSO, D. B.; ROSA, S. D. V. F. da; CLEMENTE, P. E. G.; GALLEP, C. M.; PADILHA, L. Repository: BDPA Publication year: 2015
Data mining and object based image analysis applied to soybean areas classification through time-series TM/ETM+ images. Author(s): LUIZ, A. J. B. Repository: BDPA Publication year: 2014
Method for maize plants counting and crop evaluation based on multispectral images analysis. Author(s): CRUVINEL, P. E. The processing of multispectral images acquired with embedded cameras in unmanned aerial vehicles (drones) has brought new opportunities for precision agriculture. In this study a method for evaluatin... ... Repository: BDPA Publication year: 2024
Multivariate analysis of images in spectrophotometric methods: quantification of soil organic matter. Author(s): MADARI, B. E. Soil organic matter (SOM) is usually quantified by Walkley-Black titration method or using a spectrophotometric method. This study proposes an alternative method for quantification of SOM using digita... ... Repository: BDPA Publication year: 2021
Authentication of indigenous Brazilian specialty Canephora coffees using smartphone image analysis. Author(s): BAQUETA, M. R.; POSTIGO, M. P.; ALVES, E. A.; MORAES NETO, V. F. de; VALDERRAMA, P.; PALLONE, J. A. L.; DINIZ, P. H. G. D. The prevention of coffee fraud through the use of digital and intelligence-based technologies is an analytical challenge because depending on the adulterant, visual inspection is unreliable in roasted... ... Repository: BDPA Publication year: 2024
Advancing Hydrogel-Based 3D Cell Culture Systems: Histological Image Analysis and AI-Driven Filament Characterization. Author(s): 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
Saturated salt accelerated aging and computerized analysis of seedling images to evaluate soybean seed performance. Author(s): FRANÇA-NETO, J. de B. ABSTRACT: Seed deterioration causes losses to seed companies during the storage. For researches, the challenge has been to develop techniques which improve the seed longevity as well as laboratory ana... ... Repository: BDPA Publication year: 2014
A new approach to automate the seed vigor analysis on soybean seedling using digital images. Author(s): JORGE, L. A. de C. Repository: BDPA Publication year: 2014
Mass spectrometry imaging for fungal interaction analysis: Classic versus imprinting methods. Author(s): SIQUEIRA, F. G. de; ABDELNUR, P. V. Fungi can produce many bioactive metabolites, which are enhanced when challenged in co-culture competition. For a better evaluation of these metabolites, Mass Spectrometry Imaging (MSI) can be used to... ... Repository: BDPA Publication year: 2023

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