Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Camila Maione"'
Publikováno v:
Applied Artificial Intelligence, Vol 36, Iss 1 (2022)
Soil and dirt fragments are easily transferred from the ground to objects such as clothing, shoes, skin, nails, and tires. The elemental analysis of these samples involved in crimes can be an important source of information for forensic scientists be
Externí odkaz:
https://doaj.org/article/752267b774cd4a4e93c4ce9c5227942d
Publikováno v:
Applied Computing and Informatics, Vol 15, Iss 2, Pp 153-162 (2019)
This paper presents a data mining study and cluster analysis of social data obtained on small producers and family farmers from six country cities in Ceará state, northeast Brazil. The analyzed data involve demographic, economic, agriculture and foo
Externí odkaz:
https://doaj.org/article/5917f978f6754805b394ba5579aa2c21
Autor:
Camila Maione, Eloá Moura Araujo, Sabrina Novaes dos Santos-Araujo, Alexys Giorgia Friol Boim, Rommel Melgaço Barbosa, Luís Reynaldo Ferracciú Alleoni
Publikováno v:
Scientia Agricola, Vol 79, Iss 1 (2021)
ABSTRACT Lettuce (Lactuca sativa) is the main leafy vegetable produced in Brazil. Since its production is widespread all over the country, lettuce traceability and quality assurance is hampered. In this study, we propose a new method to identify the
Externí odkaz:
https://doaj.org/article/083d9d407c0a475e934c0a8bc2a87c9b
Autor:
Guilherme Ribeiro, Camila Maione, Cristhiane Goncalves, Diego de Castro Rodrigues, Rommel Melgaco Barbosa
Publikováno v:
2021 International Conference on Engineering and Emerging Technologies (ICEET).
Publikováno v:
Applied Computing and Informatics, Vol 15, Iss 2, Pp 153-162 (2019)
This paper presents a data mining study and cluster analysis of social data obtained on small producers and family farmers from six country cities in Ceará state, northeast Brazil. The analyzed data involve demographic, economic, agriculture and foo
Autor:
Alexys Giorgia Friol Boim, Camila Maione, Rommel M. Barbosa, Sabrina Novaes dos Santos-Araujo, Luís Reynaldo Ferracciú Alleoni, Eloá Moura Araújo
Publikováno v:
Scientia Agricola, Vol 79, Iss 1 (2021)
Scientia Agricola v.79 n.1 2022
Scientia Agrícola
Universidade de São Paulo (USP)
instacron:USP
Scientia Agricola, Volume: 79, Issue: 1, Article number: e20200011, Published: 18 JAN 2021
Scientia Agricola v.79 n.1 2022
Scientia Agrícola
Universidade de São Paulo (USP)
instacron:USP
Scientia Agricola, Volume: 79, Issue: 1, Article number: e20200011, Published: 18 JAN 2021
Lettuce (Lactuca sativa) is the main leafy vegetable produced in Brazil. Since its production is widespread all over the country, lettuce traceability and quality assurance is hampered. In this study, we propose a new method to identify the geographi
Autor:
Camila Maione, Márcio Arruda Bacchi, Elisabete A. De Nadai Fernandes, Fernando Barbosa, Christian Turra, Rommel Melgaço Barbosa
Publikováno v:
Analytical Letters. 50:2292-2307
Brazil is the world’s largest producer of oranges. The Brazilian conventional citrus crop requires repeated application of agrochemicals to achieve satisfactory levels of productivity. The organic citriculture is an alternative production system, w
Autor:
Vanessa Cristina de Oliveira Souza, Jose Luiz Costa, Fernando Barbosa, Loraine Rezende Togni, Camila Maione, Andres D. Campiglia, Rommel Melgaço Barbosa
Publikováno v:
Neural Computing and Applications. 30:947-955
Ecstasy is an amphetamine-type substance that belongs to a popular group of illicit drugs known as “club drugs” whose consumption is rising in Brazil. The effects caused by this substance in the human organism are mainly psychological, including
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Universidade de São Paulo (USP)
instacron:USP
Because honey is a natural product synthetized by bees from secretions of various flowers and plants, its composition and properties are determined by those unique floral origins. Aside from honey’s sweet and distinctive flavor, it can provide vari
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94ec9d6cdffaba9402a60fc41e0368e9
Autor:
Eloisa Silva de Paula, Camila Maione, Matheus Gallimberti, Fernando Barbosa, Andres D. Campiglia, Rommel Melgaço Barbosa, Bruno Lemos Batista
Publikováno v:
Expert Systems with Applications. 49:60-73
We used data mining with ICP-MS to classify grape juice.An accuracy above 89% was obtained with SVM.Our method can be used for authentication purposes of other foods. Authenticity is a substantial matter and a current concern of the organic food indu