Forecasting insect abundance using time series embedding and environmental covariates (2023)
- Authors:
- USP affiliated authors: GODOY, WESLEY AUGUSTO CONDE - ESALQ ; MORAL, RAFAEL DE ANDRADE - ESALQ ; ENGEL, EDUARDO - ESALQ
- Unidade: ESALQ
- Subjects: ALGORITMOS; APRENDIZADO COMPUTACIONAL; CAUSALIDADE; CONTROLE INTEGRADO; DENSIDADE POPULACIONAL; PREVISÃO (ANÁLISE DE SÉRIES TEMPORAIS); PULGÃO
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Dortmund, TU
- Date published: 2023
- Source:
- Título: Proceedings book ...
- Volume/Número/Paginação/Ano: 693 p. : il
- Conference titles: International Workshop on Statistical Modelling - IWSM
-
ABNT
PALMA, Gabriel R et al. Forecasting insect abundance using time series embedding and environmental covariates. 2023, Anais.. Dortmund, TU: Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo, 2023. p. 693 : il. Disponível em: https://iwsm2023.statistik.tu-dortmund.de/storages/iwsm2023-statistik/r/dokumente/IWSM_2023_Conference_Proceedings.pdf. Acesso em: 27 dez. 2025. -
APA
Palma, G. R., Mello, R. F., Godoy, W. A. C., Engel, E., Lau, D., Markham, C., & Moral, R. de A. (2023). Forecasting insect abundance using time series embedding and environmental covariates. In Proceedings book .. (p. 693 : il). Dortmund, TU: Escola Superior de Agricultura Luiz de Queiroz, Universidade de São Paulo. Recuperado de https://iwsm2023.statistik.tu-dortmund.de/storages/iwsm2023-statistik/r/dokumente/IWSM_2023_Conference_Proceedings.pdf -
NLM
Palma GR, Mello RF, Godoy WAC, Engel E, Lau D, Markham C, Moral R de A. Forecasting insect abundance using time series embedding and environmental covariates [Internet]. Proceedings book .. 2023 ;693 : il.[citado 2025 dez. 27 ] Available from: https://iwsm2023.statistik.tu-dortmund.de/storages/iwsm2023-statistik/r/dokumente/IWSM_2023_Conference_Proceedings.pdf -
Vancouver
Palma GR, Mello RF, Godoy WAC, Engel E, Lau D, Markham C, Moral R de A. Forecasting insect abundance using time series embedding and environmental covariates [Internet]. Proceedings book .. 2023 ;693 : il.[citado 2025 dez. 27 ] Available from: https://iwsm2023.statistik.tu-dortmund.de/storages/iwsm2023-statistik/r/dokumente/IWSM_2023_Conference_Proceedings.pdf - Population patterns of two generalist forager bees on canola: effects of sowing season, plant genotype, meteorological factors, and coabundance
- Modelling insect populations in agricultural landscapes [Preface]
- Pattern-based prediction of population outbreaks
- Oscillation, synchrony, and multi-factor patterns between cereal aphids and parasitoid populations in southern Brazil
- Modelling insect populations in agricultural landscapes
- Introduction
- Aphids and their parasitoids persist using temporal pairing and synchrony
- The co-occurrence matrix and the correlation network of Phytophagous insects are driven by abiotic and biotic variables: the Case of Canola
- Introducing different modelling scenarios to entomologists
- Parasitism-mediated prey selectivity in laboratory conditions and implications for biological control
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