Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Ruan Bernardy"'
Autor:
Ruan Bernardy, Lázaro da Costa Corrêa Cañizares, Silvia Leticia Rivero Meza, Larissa Alves Rodrigues, Silvia Naiane Jappe, Maurício de Oliveira
Publikováno v:
Ciência e Agrotecnologia, Vol 48 (2024)
ABSTRACT With the increasing soybean production in Brazil, and the demand for soybeans with high protein and oil content, it is essential to conduct an in-depth study of the constituents of this grain, which can vary according to genotypes and growin
Externí odkaz:
https://doaj.org/article/fe3bbd30767b492d9b81f9a6b0e38c00
Autor:
Raquel Mendes de Araújo, Amanda Jakelline Dias Araujo, Gustavo Mendes Araújo Fernandes, Gizele Ingrid Gadotti, Ruan Bernardy, Rita de Cassia Mota Monteiro, Karine Von Ahn Pinto
Publikováno v:
Colloquium Agrariae, Vol 19, Iss 1 (2023)
Na cultura do milho são observados desafios que interferem no alcance da alta produtividade. Tecnologias e diversas pesquisas contribuem com soluções eficientes, entre elas a tecnologia de sementes, elemento fundamental para o bom desenvolvimento
Externí odkaz:
https://doaj.org/article/78df7db3fb6646e18419fc8990a71a40
Autor:
Romário de Mesquita Pinheiro, Gizele Ingrid Gadotti, Ruan Bernardy, Rafael Rico Tim, Karine Von Ahn Pinto, Graciela Buck
Publikováno v:
Ciência e Agrotecnologia, Vol 47 (2023)
ABSTRACT Analyzing the impact of harvest-time drying data is crucial for successful storage and maintaining regulatory seed quality. This study aimed to assess the performance of fixed and mobile dryers using machine learning techniques. Data were co
Externí odkaz:
https://doaj.org/article/76ed8f21be1c43258a02189487189c42
Autor:
Ruan Bernardy, Gizele I. Gadotti, Rita de C. M. Monteiro, Karine Von Ahn Pinto, Romário de M. Pinheiro
Publikováno v:
Engenharia Agrícola, Vol 43, Iss 2 (2023)
ABSTRACT To enhance speed and agility in interpreting physiological quality tests of seeds, The use of algorithms has emerged. This study aimed to identify suitable machine learning models to assist in the precise management of seed lot quality. Soyb
Externí odkaz:
https://doaj.org/article/ed9bef2af0df4783ab59c4fc060386d5
Autor:
Romário de Mesquita Pinheiro, Evandro José Linhares Ferreira, Gizele Ingrid Gadotti, Ruan Bernardy, Ednéia Araújo dos Santos, Rafael Rico Timm
Publikováno v:
Revista de Agricultura Neotropical, Vol 10, Iss 2 (2023)
Paullinia stellata is found in anthropogenic places and lowland forests, yet little information about their reproductive characteristics is known. This study aimed to determine the physical properties of seeds and the characteristics of their reprodu
Externí odkaz:
https://doaj.org/article/12ff5543709f4741be65365b6dd6d1c3
Autor:
Ádamo De Souza Araújo, Romário de Mesquita Pinheiro, Elson Junior Souza da Silva, Gizele Ingrid Gadotti, Rita de Cassia Mota Monteiro, Ruan Bernardy
Publikováno v:
Revista Agrogeoambiental (2022)
The differences observed in the physical properties of the seeds may indicate types of equipment for harvesting and processing, in addition to variability between plants. It was studied the characterization of the dimensions of the seeds, linear and
Externí odkaz:
https://doaj.org/article/c243fbe0bbfe4ec3a8bc42819e451e02
Autor:
Gizele I. Gadotti, Carla A. Ascoli, Ruan Bernardy, Rita de C. M. Monteiro, Romário de M. Pinheiro
Publikováno v:
Engenharia Agrícola, Vol 42, Iss spe (2022)
ABSTRACT The seed germination and vigor evaluation are essential for the sowing sector to measure the performance of different seed lots and improve the efficiency of storage and sowing processes. However, the analysis of various tests to determine s
Externí odkaz:
https://doaj.org/article/8696727c4fb44770848fa4c7aa8abbba
Autor:
Romário de Mesquita Pinheiro, Gizele Ingrid Gadotti, Rita de Cassia Mota Monteiro, Ruan Bernardy
Publikováno v:
Diversitas Journal, Vol 6, Iss 3 (2021)
RESUMO: Métodos para classificação e identificação de atividades essenciais na análise das sementes é de grande importância técnica e econômica no setor agrícola e contribuem no valor acrescentado na produção final da cultura. Com a tecn
Externí odkaz:
https://doaj.org/article/1916d935f85c4736a671a817428b534a
Autor:
Luciana D. Rocha, Gizele I. Gadotti, Ruan Bernardy, Romário de M. Pinheiro, Rita de C. M. Monteiro
Publikováno v:
Revista Caatinga, Volume: 36, Issue: 2, Pages: 471-478, Published: 22 MAY 2023
The ranking of seed lots is a fundamental process for all companies in the seed industry. This work aims to demonstrate data mining methods for ranking sorghum seed lots during the seed processing through analysis of quality control data. Germination
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::583b1dc74ad5493eb0d7612a0f75192d
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1983-21252023000200471&lng=en&tlng=en
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1983-21252023000200471&lng=en&tlng=en
Autor:
Romário De Mesquita Pinheiro, Gizele Ingrid Gadotti, Ruan Bernardy, Rita de Cassia Mota Monteiro, Isabella Brandão Moreira
Publikováno v:
Revista Agraria Academica. 5:89-101
In the quality analysis, alternatives for seed imaging are a quick response to something challenging and laborious. However, machine learning techniques emerge as an alternative for prediction and classification by image processing, with efficiency a