Search Results for author: Hemerson Pistori

Found 10 papers, 0 papers with code

Pig aggression classification using CNN, Transformers and Recurrent Networks

no code implementations13 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.

Classification Video Classification

Using Deep Learning for Morphological Classification in Pigs with a Focus on Sanitary Monitoring

no code implementations13 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.

A New Machine Learning Dataset of Bulldog Nostril Images for Stenosis Degree Classification

no code implementations11 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.

Binary Classification Classification

A Deep Learning Approach Based on Graphs to Detect Plantation Lines

no code implementations5 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.

A Review on Deep Learning in UAV Remote Sensing

no code implementations22 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.

Time Series Analysis

BioLeaf: a professional mobile application to measure foliar damage caused by insect herbivory

no code implementations26 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.

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