no code implementations • 13 Mar 2024 • Junior Silva Souza, Eduardo Bedin, Gabriel Toshio Hirokawa Higa, Newton Loebens, Hemerson Pistori
Thus, the development of applications can assist breeders in making decisions to improve production performance and reduce costs, once the animal behavior is analyzed by humans and this can lead to susceptible errors and time consumption.
no code implementations • 13 Mar 2024 • Eduardo Bedin, Junior Silva Souza, Gabriel Toshio Hirokawa Higa, Alexandre Pereira, Charles Kiefer, Newton Loebens, Hemerson Pistori
The aim of this paper is to evaluate the use of D-CNN (Deep Convolutional Neural Networks) algorithms to classify pig body conditions in normal or not normal conditions, with a focus on characteristics that are observed in sanitary monitoring, and were used six different algorithms to do this task.
no code implementations • 12 Mar 2024 • Gabriel Toshio Hirokawa Higa, Rodrigo Stuqui Monzani, Jorge Fernando da Silva Cecatto, Maria Fernanda Balestieri Mariano de Souza, Vanessa Aparecida de Moraes Weber, Hemerson Pistori, Edson Takashi Matsubara
Smart indoor tourist attractions, such as smart museums and aquariums, usually require a significant investment in indoor localization devices.
no code implementations • 12 Mar 2024 • Micheli Nayara de Oliveira Vicente, Gabriel Toshio Hirokawa Higa, João Vitor de Andrade Porto, Higor Henrique, Picoli Nucci, Asser Botelho Santana, Karla Rejane de Andrade Porto, Antonia Railda Roel, Hemerson Pistori
Aedes aegypti is still one of the main concerns when it comes to disease vectors.
no code implementations • 11 Mar 2024 • Alexandre de Oliveira Bezerra, Rodrigo Goncalves Mateus, Vanessa Ap. de Moraes Weber, Fabricio de Lima Weber, Yasmin Alves de Arruda, Rodrigo da Costa Gomes, Gabriel Toshio Hirokawa Higa, Hemerson Pistori
Assessing the biotype of cattle through human visual inspection is a very common and important practice in precision cattle breeding.
no code implementations • 11 Mar 2024 • Gabriel Toshio Hirokawa Higa, Joyce Katiuccia Medeiros Ramos Carvalho, Paolo Brito Pascoalini Zanoni, Gisele Braziliano de Andrade, Hemerson Pistori
For this evaluation, the problem was modeled in two different ways: first, as a three-class classification problem (mild or open, moderate, and severe); second, as a binary classification problem, with severe stenosis as target.
no code implementations • 4 May 2023 • Diogo Nunes Goncalves, Jose Marcato Junior, Pedro Zamboni, Hemerson Pistori, Jonathan Li, Keiller Nogueira, Wesley Nunes Goncalves
After the backbone feature extraction, two feature maps are learned for each task.
no code implementations • 5 Feb 2021 • Diogo Nunes Gonçalves, Mauro dos Santos de Arruda, Hemerson Pistori, Vanessa Jordão Marcato Fernandes, Ana Paula Marques Ramos, Danielle Elis Garcia Furuya, Lucas Prado Osco, Hongjie He, Jonathan Li, José Marcato Junior, Wesley Nunes Gonçalves
This feature map is used as an input to the Knowledge Estimation Module (KEM), organized in three concatenated branches for detecting 1) the plant positions, 2) the plantation lines, and 3) for the displacement vectors between the plants.
no code implementations • 22 Jan 2021 • 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
In the remote sensing field, surveys and literature revisions specifically involving DNNs algorithms' applications have been conducted in an attempt to summarize the amount of information produced in its subfields.
no code implementations • 26 Sep 2016 • Bruno Machado, Jonatan Orue, Mauro Arruda, Cleidimar Santos, Diogo Sarath, Wesley Goncalves, Gercina Silva, Hemerson Pistori, Antonia Roel, Jose Rodrigues-Jr
With these results, our proposal might assist soybean producers, reducing the time to measure foliar damage, reducing analytical costs, and defining a commodity application that is applicable not only to soy, but also to different crops such as cotton, bean, potato, coffee, and vegetables.