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Inteligência Artificial, Fundamentos, Conceitos, Aplicações E Tendências

Bibliographic Data

ID20049035
AuthorsMário Jorge Mendonça (0000-0002-7980-6001), Márcio Mendonça, Matheus Gil Bovolenta, Bruno Oliveira Rosa, Lucas Botoni De Souza (0000-0001-5856-9708), Vicente De Lima Gongora, Emanuel Ignácio Garcia (0000-0001-6547-220X), Henrique Cavalieri Agonilha, Ronie Ribeiro Camargo, Edgar Matsuo Tsuzuki, Marcos Antônio De Matos Laia, Edileusa Regina Pena Da Silva (0000-0002-5849-116X), Emerson Ravazzi Pires da Silva, Janaína Fracaro De Souza Gonçalves (0000-0002-1920-3591), Wagner Fontes Godoy (0000-0003-2517-8051), Augusto Alberto Foggiato (0000-0002-9558-367X), Kleber Romero Felizardo, Francisco De Assis Scannavino, Francisco de Assis Scannavino Junior
Year2023
Pages34-46
Publication date2023-04-05
Peer ReviewedYes
Open AccessNo
TypeCHAPTER
VenueCiência, Tecnologia e Inovação Experiências, Desafios e Perspectivas 3 (SOURCE_BOOK)
PublisherAtena Editora (PUBLISHER)
DOI10.22533/at.ed.5362305044
OpenAlexW4362639760
ISBN9786525811536
LanguagePT
References cited4

The dairy activity contributes to the rural economic development of a region, thus promoting an increase in family income.However, this activity is influenced by factors such as productivity and product quality, where seasonal differences triggered by changes in temperature and humidity during the year influence the quantity and composition of milk.The objective was to evaluate the influence of seasonality on the chemical composition of milk.Data were collected monthly from a cooperative of small producers in the west of Santa Catarina (2020).Variables such as fat, protein, lactose, total solids and defatted dry extract were analyzed by analysis of variance, where the means, when significant, were compared using the Tukey method.A significance level of 5% was used.Protein contents showed a significant difference, with the highest value in July (3.12 g/100g) and the lowest in January and February, reflecting the lack of rain in the previous semester.The defatted dry extract indexes also showed a significant difference, with the highest indexes in the months from January to August (8.59;8.60 and 8.61 g/100g) and the lowest in May and November (8.21 and 8.26 g/100g).The defatted dry extract content was able to illustrate the seasonality in the production of pastures, as well as serve as a warning to producers and professionals in the area to seek to supply these periods with improvements in forage reserves

Humanities · Knowledge Societies in the 21st Century · Philosophy · Psychology

  • Artificial Intelligence

    Nils J Nilsson•Artificial Intelligence•1998

  • Deep learning in neural networks

    Open Access•Jurgen Schmidhuber•Neural Networks•2015

  • AI4People—An Ethical Framework for a Good AI Society

    Open Access•Luciano Floridi, Josh Cowls et al.•Minds and Machines•2018

  • Mind over machine

    Open Access•Timothy Koschmann, Timothy D Koschmann•Artificial Intelligence•1987

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Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae