Portal do Governo Brasileiro
BDPA - Bases de Dados da Pesquisa Agropecuária Embrapa
 






Registro Completo
Biblioteca(s):  Embrapa Agricultura Digital; Embrapa Uva e Vinho.
Data corrente:  02/05/2022
Data da última atualização:  02/05/2022
Tipo da produção científica:  Artigo em Periódico Indexado
Autoria:  SPERANZA, E. A.; GREGO, C. R.; GEBLER, L.
Afiliação:  EDUARDO ANTONIO SPERANZA, CNPTIA; CELIA REGINA GREGO, CNPTIA; LUCIANO GEBLER, CNPUV.
Título:  Analysis of pest incidence on apple trees validated by unsupervised machine learning algorithms.
Ano de publicação:  2022
Fonte/Imprenta:  Engenharia na Agricultura, v. 30, p. 63-74, 2022.
DOI:  https://doi.org/10.13083/reveng.v30i1.12919
Idioma:  Português
Conteúdo:  ABSTRACT. Integrated pest control is a practice commonly used in apple orchards in southern Brazil. This type of management is an important tool to help improve quality and increase yields. This study aimed to identify areas with higher and lower incidence of aerial pests in a commercial apple orchard, regarding data collected from three different crops using georeferenced traps. Geostatistical analyses were performed, based on the modeling of semivariograms and spatial interpolation using the kriging method; and clustering, based on specific unsupervised machine learning algorithms for count data. The algorithms were selected from measures of stability, connectivity and homogeneity, seeking to identify areas with different incidence of pests that could help farmer decision making regarding insect population control using pesticides. The geostatistical analysis verified the presence of individual pest infestations in specific sites of the study area. Additionally, the analysis using machine learning allowed the identification of areas with incidence above the average for all analyzed pests, especially in the central area of the map. The process of evaluation described in this study can serve as an aid for risk analysis, promoting management benefits and reducing cost in the farms.
Palavras-Chave:  Análise geoestatística; Aprendizado de Máquina Não-Supervisionado; Controle de pragas; Geoestatística; Maçãs; Manejo de Pragas; Pomares; Unsupervised Machine Learning.
Thesaurus Nal:  Apples; Geostatistics; Orchards; Pest management.
Categoria do assunto:  --
F Plantas e Produtos de Origem Vegetal
URL:  https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1142552/1/AP-Analysis-pest-incidence-2022.pdf
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Agricultura Digital (CNPTIA)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status URL
CNPTIA21205 - 1UPCAP - DD
CNPUV18802 - 1UPCAP - DD
Voltar






Acesso ao texto completo restrito à biblioteca da Embrapa Pantanal. Para informações adicionais entre em contato com cpap.biblioteca@embrapa.br.

Registro Completo

Biblioteca(s):  Embrapa Pantanal.
Data corrente:  08/12/2015
Data da última atualização:  17/03/2016
Tipo da produção científica:  Artigo em Periódico Indexado
Circulação/Nível:  A - 2
Autoria:  FANTINI, L. E.; LARA, J. A. F. de; DELBEM, A. C. B.; USHIZIMA, T. T.; POVH, J. A.; CAMPOS, C. M. de.
Afiliação:  LETÍCIA EMILIANI FANTINI, UFMS; JORGE ANTONIO FERREIRA DE LARA, CPAP; ÁDINA CLÉIA BOTAZZO DELBEM, CNPq/FUNDECT; THIAGO TETSUO USHIZIMA, Empresa Mar & Terra Ind. e Com. de Pescado Ltda; JAYME APARECIDO POVH, UFMS; CRISTIANE MELDAU DE CAMPOS, UEMS.
Título:  Quality attributes and properties of surubim (Pseudoplatystoma spp.) meat.
Ano de publicação:  2015
Fonte/Imprenta:  Semina: Ciências Agrárias, Londrina, v. 36, n. 6, p. 3957-3964, nov./dez. 2015.
DOI:  10.5433/1679-0359.2015v36n6p395
Idioma:  Inglês
Conteúdo:  The aim of this study was to evaluate the quality attributes and properties of fillets from surubins (Pseudoplatystoma spp.) reared in cages and fishponds. The design of the study was completely randomized, with two treatments (cage and fishpond) and 16 replicates each. The fillets from fishes reared in cage and fishpond had a mean total weight of 134.71 ± 33.11 g and 151.56 ± 18.56 g, respectively. The following parameters were analyzed: pH, water retention capacity (WRC), color (L* brightness), (a* red), (b* yellow), and shear force (SF). The data were subjected to analysis of variance and the means were compared by Tukey?s and Mann-Whitney (nonparametric) tests. Statistically significant differences (p<0.05) were observed for WRC, SF, and pH variables. Only for color attributes (L*), (a*), (b*), no statistically significant difference (p>0.05) was detected between the treatments. A lower pH (6.17 ± 0.23) was observed in fillets from surubins reared in cage. As this is close to the isoelectric point of myofibrillar proteins, it reduces their net charge and, consequently, their capacity to retain water. Lower WRC of fillets obtained from fishes reared in cage (61.46 ± 1.62%) implies loss of nutritional value through the exudate released which results in drier fillets and compromised tenderness. In fillets from cage production, SF (1.06 ± 0.22 kgf) was higher than those from fishpond, i.e., the higher the shear force, the lower the tenderness of the fillet. On the basis of t... Mostrar Tudo
Palavras-Chave:  Filé; Fillet; Força de cisalhamento; Maciez; Shear force; Siluriforme; Tenderness.
Thesagro:  Aquicultura; Peixe de água doce; Produção pesqueira.
Thesaurus NAL:  aquaculture; Fish meat; Fish products.
Categoria do assunto:  L Ciência Animal e Produtos de Origem Animal
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Pantanal (CPAP)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status
CPAP59474 - 1UPCAP - PPSP1814818148
Fechar
Expressão de busca inválida. Verifique!!!
 
 

Embrapa
Todos os direitos reservados, conforme Lei n° 9.610
Política de Privacidade
Área Restrita

Embrapa Agricultura Digital
Av. André Tosello, 209 - Barão Geraldo
Caixa Postal 6041- 13083-886 - Campinas, SP
SAC: https://www.embrapa.br/fale-conosco

Valid HTML 4.01 Transitional