Clissia Barboza da Silva
Overview
Explore the profile of Clissia Barboza da Silva including associated specialties, affiliations and a list of published articles.
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9
Citations
74
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Recent Articles
1.
Silva A, Cupertino G, Cezario L, Palacio de Araujo C, Medeiros Simoes I, Alexandre R, et al.
J Environ Manage
. 2023 Oct;
348:119305.
PMID: 37866189
The application of biochar in soil provides various benefits that can vary in intensity as the pyrolysis temperature increases. However, its low density makes this material easily transportable and prone...
2.
Silva C, Oliveira N, de Carvalho M, de Medeiros A, de Lima Nogueira M, Reis A
Sci Rep
. 2021 Sep;
11(1):17834.
PMID: 34497292
In the agricultural industry, advances in optical imaging technologies based on rapid and non-destructive approaches have contributed to increase food production for the growing population. The present study employed autofluorescence-spectral...
3.
Ethoflow: Computer Vision and Artificial Intelligence-Based Software for Automatic Behavior Analysis
Bernardes R, Lima M, Guedes R, Silva C, Martins G
Sensors (Basel)
. 2021 Jun;
21(9).
PMID: 34067084
Manual monitoring of animal behavior is time-consuming and prone to bias. An alternative to such limitations is using computational resources in behavioral assessments, such as tracking systems, to facilitate accurate...
4.
Silva C, Silva A, Barroso G, Yamamoto P, Arthur V, Toledo C, et al.
Foods
. 2021 Apr;
10(4).
PMID: 33923800
The application of artificial intelligence (AI) such as deep learning in the quality control of grains has the potential to assist analysts in decision making and improving procedures. Advanced technologies...
5.
Bianchini V, Mascarin G, Silva L, Arthur V, Carstensen J, Boelt B, et al.
Plant Methods
. 2021 Jan;
17(1):9.
PMID: 33499879
Background: The use of non-destructive methods with less human interference is of great interest in agricultural industry and crop breeding. Modern imaging technologies enable the automatic visualization of multi-parameter for...
6.
Galletti P, Carvalho M, Hirai W, Brancaglioni V, Arthur V, Silva C
Front Plant Sci
. 2021 Jan;
11:577851.
PMID: 33408727
Light-based methods are being further developed to meet the growing demands for food in the agricultural industry. Optical imaging is a rapid, non-destructive, and accurate technology that can produce consistent...
7.
de Medeiros A, Silva L, Ribeiro J, Ferreira K, Rosas J, Santos A, et al.
Sensors (Basel)
. 2020 Aug;
20(15).
PMID: 32756355
Optical sensors combined with machine learning algorithms have led to significant advances in seed science. These advances have facilitated the development of robust approaches, providing decision-making support in the seed...
8.
de Medeiros A, Capobiango N, da Silva J, Silva L, Silva C, Dos Santos Dias D
Sci Rep
. 2020 Jul;
10(1):11267.
PMID: 32647230
New computer vision solutions combined with artificial intelligence algorithms can help recognize patterns in biological images, reducing subjectivity and optimizing the analysis process. The aim of this study was to...
9.
Franca-Silva F, Rego C, Gomes-Junior F, Moraes M, de Medeiros A, Silva C
Sensors (Basel)
. 2020 Jun;
20(12).
PMID: 32545563
Conventional methods for detecting seed-borne fungi are laborious and time-consuming, requiring specialized analysts for characterization of pathogenic fungi on seed. Multispectral imaging (MSI) combined with machine vision was used as...