• JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
  • JoomlaWorks Simple Image Rotator
 
  Bookmark and Share
 
 
Master's Dissertation
DOI
https://doi.org/10.11606/D.18.2007.tde-22082007-095725
Document
Author
Full name
Marcel Rodrigues Lopes
Institute/School/College
Knowledge Area
Date of Defense
Published
São Carlos, 2007
Supervisor
Committee
Oliveira, Vilma Alves de (President)
Andrade Filho, Marinho Gomes de
Cruvinel, Paulo Estevão
Title in Portuguese
Estimação de parâmetros de populações de plantas daninhas usando inferência Bayesiana
Keywords in Portuguese
Densidade preditiva
Dinâmica populacional
Inferência Bayesiana
Monte Carlo em cadeia de Markov
Priori não-informativa
Abstract in Portuguese
O banco de sementes de plantas daninhas pode vir a ser um sério problema para a atividade agrícola por manter infestações por longos períodos. A dinâmica da população de plantas daninhas pode ser representada por modelos matemáticos que relaciona as densidades de sementes produzidas e de plântulas em áreas de cultivo. Os valores dos parâmetros dos modelos podem ser inferidos diretamente de experimentação e análise estatística. O presente trabalho tem por objetivo estimar parâmetros de populações das plantas daninhas anuais denominadas Digitaria ciliares, Panicum maximum e Euphorbia heterophylla e avaliar um modelo espacial com 2 e 3 parâmetros, a partir de um experimento conduzido em cultura de Zea mays (milho) usando inferência Bayesiana.
Title in English
Estimation of the parameters of weeds population using Bayesian inference
Keywords in English
Bayesian inference
Mathematical models
Population dynamics
Abstract in English
The seeds bank of weed could be a serious problem to the agricultural activity because it maintains infestations for long periods. The dynamics of weed populations can be described by mathematical models that relates the produced seeds and seedlings densities in areas of crop. The values of the parameters of the models can be inferred from experimentation and statistics analysis. The objective of this work is to estimate parameters of anual weed populations denoted Digitaria ciliares, Panicum maximum e Euphorbia heterophylla and evaluate a spatial model with 2 and 3 parameters from experimental data of Zea mays (corn) fields using Bayesian inference.
 
WARNING - Viewing this document is conditioned on your acceptance of the following terms of use:
This document is only for private use for research and teaching activities. Reproduction for commercial use is forbidden. This rights cover the whole data about this document as well as its contents. Any uses or copies of this document in whole or in part must include the author's name.
Marcel.pdf (1.08 Mbytes)
Publishing Date
2007-08-24
 
WARNING: Learn what derived works are clicking here.
All rights of the thesis/dissertation are from the authors
CeTI-SC/STI
Digital Library of Theses and Dissertations of USP. Copyright © 2001-2024. All rights reserved.