Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Lúcio André de Castro Jorge"'
Autor:
Luciellen da Costa Ferreira, Ian Carlos Bispo Carvalho, Lúcio André de Castro Jorge, Alice Maria Quezado-Duval, Maurício Rossato
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Food security, a critical concern amid global population growth, faces challenges in sustainable agricultural production due to significant yield losses caused by plant diseases, with a multitude of them caused by seedborne plant pathogen. With the e
Externí odkaz:
https://doaj.org/article/00610897115f4d49af396b7f7ebb2e80
Publikováno v:
Revista Eletrônica Competências Digitais para Agricultura Familiar, Vol 7, Iss 2, Pp 15-36 (2022)
Brazilian agriculture is undergoing major technological, economic, and socio-environmental transformations. The projected increase in world population to 9 billion people by 2050 will require an increase in food, fiber, and energy production, imposin
Externí odkaz:
https://doaj.org/article/cea33afcac3e4e1a9d95fb75bd497fa6
Publikováno v:
Colloquium Exactarum, Vol 14, Iss 1 (2023)
A integração entre as áreas de sensoriamento remoto e machine learning tem permitido um avanço na forma de mapeamento de campos agrícolas e monitoramento de culturas. Este trabalho investiga a capacidade de algoritmos de aprendizagem de máquina
Externí odkaz:
https://doaj.org/article/d08db48fb13742ce80fa79e1869796cb
Autor:
Danielle Elis Garcia Furuya, Lingfei Ma, Mayara Maezano Faita Pinheiro, Felipe David Georges Gomes, Wesley Nunes Gonçalvez, José Marcato Junior, Diego de Castro Rodrigues, Maria Carolina Blassioli-Moraes, Mirian Fernandes Furtado Michereff, Miguel Borges, Raúl Alberto Alaumann, Ednaldo José Ferreira, Lucas Prado Osco, Ana Paula Marques Ramos, Jonathan Li, Lúcio André de Castro Jorge
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 105, Iss , Pp 102608- (2021)
Accurately detecting the insect damage caused in plants might reduce losses in crop yields. Hyperspectral data is a well-accepted data source to attend this issue. However, due to their high dimensional, both robust and intelligent methods are requir
Externí odkaz:
https://doaj.org/article/7dc0f8d5e53d4f059238df93a47dd208
Autor:
Lucas Prado Osco, José Marcato Junior, Ana Paula Marques Ramos, Lúcio André de Castro Jorge, Sarah Narges Fatholahi, Jonathan de Andrade Silva, Edson Takashi Matsubara, Hemerson Pistori, Wesley Nunes Gonçalves, Jonathan Li
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 102, Iss , Pp 102456- (2021)
Deep Neural Networks (DNNs) learn representation from data with an impressive capability, and brought important breakthroughs for processing images, time-series, natural language, audio, video, and many others. In the remote sensing field, surveys an
Externí odkaz:
https://doaj.org/article/7b5fb02ddecd442ab55c0a03158f2f35
Autor:
Gabriel Silva de Oliveira, José Marcato Junior, Caio Polidoro, Lucas Prado Osco, Henrique Siqueira, Lucas Rodrigues, Liana Jank, Sanzio Barrios, Cacilda Valle, Rosângela Simeão, Camilo Carromeu, Eloise Silveira, Lúcio André de Castro Jorge, Wesley Gonçalves, Mateus Santos, Edson Matsubara
Publikováno v:
Sensors, Vol 21, Iss 12, p 3971 (2021)
Forage dry matter is the main source of nutrients in the diet of ruminant animals. Thus, this trait is evaluated in most forage breeding programs with the objective of increasing the yield. Novel solutions combining unmanned aerial vehicles (UAVs) an
Externí odkaz:
https://doaj.org/article/92f935edc78b4b8bafcb8a61318f4b75
Autor:
Édson Luis Bolfe, Lúcio André de Castro Jorge, Ieda Del’Arco Sanches, Ariovaldo Luchiari Júnior, Cinthia Cabral da Costa, Daniel de Castro Victoria, Ricardo Yassushi Inamasu, Célia Regina Grego, Victor Rodrigues Ferreira, Andrea Restrepo Ramirez
Publikováno v:
Agriculture, Vol 10, Iss 12, p 653 (2020)
The rapid population growth has driven the demand for more food, fiber, energy, and water, which is associated to an increase in the need to use natural resources in a more sustainable way. The use of precision agriculture machinery and equipment sin
Externí odkaz:
https://doaj.org/article/441a106c8c9a4ac8a93d6a41df86126d
Autor:
Wellington Castro, José Marcato Junior, Caio Polidoro, Lucas Prado Osco, Wesley Gonçalves, Lucas Rodrigues, Mateus Santos, Liana Jank, Sanzio Barrios, Cacilda Valle, Rosangela Simeão, Camilo Carromeu, Eloise Silveira, Lúcio André de Castro Jorge, Edson Matsubara
Publikováno v:
Sensors, Vol 20, Iss 17, p 4802 (2020)
Monitoring biomass of forages in experimental plots and livestock farms is a time-consuming, expensive, and biased task. Thus, non-destructive, accurate, precise, and quick phenotyping strategies for biomass yield are needed. To promote high-throughp
Externí odkaz:
https://doaj.org/article/c69227f110e941249022525a9b5d3464
Autor:
Lucas Prado Osco, Ana Paula Marques Ramos, Mayara Maezano Faita Pinheiro, Érika Akemi Saito Moriya, Nilton Nobuhiro Imai, Nayara Estrabis, Felipe Ianczyk, Fábio Fernando de Araújo, Veraldo Liesenberg, Lúcio André de Castro Jorge, Jonathan Li, Lingfei Ma, Wesley Nunes Gonçalves, José Marcato Junior, José Eduardo Creste
Publikováno v:
Remote Sensing, Vol 12, Iss 6, p 906 (2020)
This paper presents a framework based on machine learning algorithms to predict nutrient content in leaf hyperspectral measurements. This is the first approach to evaluate macro- and micronutrient content with both machine learning and reflectance/fi
Externí odkaz:
https://doaj.org/article/ac169d975121448aae74662bd43ef556
Autor:
Mirian Cristina Gomes Costa, Isabela Maria de Lima Cunha, Lúcio André de Castro Jorge, Isabel Cristina da Silva Araújo
Publikováno v:
Revista Brasileira de Ciência do Solo, Vol 38, Iss 5, Pp 1359-1366 (2014)
In the search for high efficiency in root studies, computational systems have been developed to analyze digital images. ImageJ and Safira are public-domain systems that may be used for image analysis of washed roots. However, differences in root prop
Externí odkaz:
https://doaj.org/article/0116e69f229742c7b1717959a31931aa