Zobrazeno 1 - 10
of 651
pro vyhledávání: '"Gabriel Araújo"'
Autor:
Kléber Pereira Lanças, Aldir Carpes Marques Filho, Lucas Santos Santana, Gabriel Araújo e Silva Ferraz, Rafael Oliveira Faria, Murilo Battistuzzi Martins
Publikováno v:
AgriEngineering, Vol 6, Iss 3, Pp 2229-2248 (2024)
Agricultural tractors are an essential agricultural power source. Therefore, the scientific literature tests have described agricultural tractors’ evolution over time and determined future trends. This paper uses bibliometric tools to assess the ag
Externí odkaz:
https://doaj.org/article/454ce95ba5014c0d9ae7b365e6d8bb6c
Autor:
Rafael de Oliveira Faria, Fábio Moreira da Silva, Gabriel Araújo e Silva Ferraz, Mirian de Lourdes Oliveira e Silva, Miguel Angel Diaz Herrera, Daniel Veiga Soares, Aldir Carpes Marques Filho
Publikováno v:
AgriEngineering, Vol 6, Iss 3, Pp 2130-2143 (2024)
Coffee production has become increasingly technified in order to optimize the use of inputs and the sustainable use of natural resources. In this context, one way that farmers are investing in their coffee plantations is in the use of precision agric
Externí odkaz:
https://doaj.org/article/8ba4feee48e047f9bd609ccc8e3d6460
Autor:
Lucas Casagrande Passoni Lopes, Gabriel Araújo Medeiros, Igor José Nogueira Gualberto, Thales Baptista Gut, Rafael Vasconcelos Silva Ferrazini, Carlos Antonio Negrato
Publikováno v:
Revista Brasileira de Ginecologia e Obstetrícia, Vol 46 (2024)
Abstract Objective To determine the relationship between early age at menarche, late age at menopause with specific subtypes of breast cancer (BC). Methods A literature search was conducted in Embase, Lilacs, PubMed, Scopus, and Scielo databases, fol
Externí odkaz:
https://doaj.org/article/efb947948833487eb21f37547f22c1ba
Autor:
Lucas Casagrande Passoni Lopes, Gabriel Araújo Medeiros, Mauro Wieczorek, Marina dos Santos de Carvalho Pinto, Carlos Antonio Negrato
Publikováno v:
Archives of Endocrinology and Metabolism, Vol 68 (2024)
ABSTRACT Objective To evaluate, characterize and search for trends in the underreporting of diabetes mellitus (DM) as the cause of death in Bauru, São Paulo, Brazil, over 40 years. Subjects and methods This was a documental study. Clinical and morta
Externí odkaz:
https://doaj.org/article/9f3fd1b67bf545f29dd2505bd1ef481f
Autor:
Nicole Lopes Bento, Gabriel Araújo e Silva Ferraz, Lucas Santos Santana, Mirian de Lourdes Oliveira e Silva
Publikováno v:
AgriEngineering, Vol 5, Iss 4, Pp 2458-2477 (2023)
Remotely piloted aircraft systems (RPASs) have gained prominence in recent decades primarily due to their versatility of application in various sectors of the economy. In the agricultural sector, they stand out for optimizing processes, contributing
Externí odkaz:
https://doaj.org/article/08535e48aab94fa8b75eec3594b3cfa3
Autor:
Gabriel Araújo Medeiros, Igor José Nogueira Gualberto, Carlos Henrique Nascimento Domingues da Silva, Ana Maria Bicudo Diniz, Jan Beatriz Felinto de Santana, Fábio Perecin Volpe, Rahul Gadde, Alessandra Mazzo, Rodrigo Cardoso de Oliveira, Lourenço Sbragia
Publikováno v:
BMC Medical Education, Vol 23, Iss 1, Pp 1-10 (2023)
Abstract Background Congenital Anomalies were responsible for 303,000 deaths in the neonatal period, according to the WHO, they are among the world’s top 20 causes of morbidity and mortality. Expensive simulators demonstrate several diseases, but f
Externí odkaz:
https://doaj.org/article/655d9a3edb6c4700ae5757ba95927cd8
Autor:
Marcelo Araújo Junqueira Ferraz, Afrânio Gabriel da Silva Godinho Santiago, Adriano Teodoro Bruzi, Nelson Júnior Dias Vilela, Gabriel Araújo e Silva Ferraz
Publikováno v:
Agriculture, Vol 14, Iss 11, p 2088 (2024)
Traditional disease severity monitoring is subjective and inefficient. This study employs a Parrot multispectral sensor mounted on an unmanned aerial vehicle (UAV) to apply machine learning algorithms, such as random forest, for categorizing defoliat
Externí odkaz:
https://doaj.org/article/ab66418113fe444da4b65ae06fe421b5
Autor:
Luana Mendes dos Santos, Gabriel Araújo e Silva Ferraz, Milene Alves de Figueiredo Carvalho, Alisson André Vicente Campos, Pedro Menicucci Neto, Letícia Aparecida Gonçalves Xavier, Alessio Mattia, Valentina Becciolini, Giuseppe Rossi
Publikováno v:
Agronomy, Vol 14, Iss 10, p 2414 (2024)
Coffee is a key agricultural product in national and international markets. Physiological parameters, such as plant growth indicators, can signal interruptions in these processes. This study aimed to characterize the temperature obtained by a thermal
Externí odkaz:
https://doaj.org/article/1e852550656d40bdbd4d5d2090102070
Autor:
Gislayne Farias Valente, Gabriel Araújo e Silva Ferraz, Felipe Schwerz, Rafael de Oliveira Faria, Felipe Augusto Fernandes, Diego Bedin Marin
Publikováno v:
Remote Sensing, Vol 16, Iss 18, p 3467 (2024)
An accurate assessment of frost damage in coffee plantations can help develop effective agronomic practices to cope with extreme weather events. Remotely piloted aircrafts (RPA) have emerged as promising tools to evaluate the impacts caused by frost
Externí odkaz:
https://doaj.org/article/4f59440327e34e4c943cf7cedc6a5784
Autor:
Patricia Ferreira Ponciano Ferraz, Gabriel Araújo e Silva Ferraz, Jacqueline Cardoso Ferreira, João Victor Aguiar, Lucas Santos Santana, Tomas Norton
Publikováno v:
Animals, Vol 14, Iss 12, p 1721 (2024)
A deeper understanding of gas emissions in milk production is crucial for promoting productive efficiency, sustainable resource use, and animal welfare. This paper aims to analyze ammonia and greenhouse gas emissions in dairy farming using bibliometr
Externí odkaz:
https://doaj.org/article/f83c5c37237a4b63b0fae2f28d52fd3d