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A classification methodology for the risk of weed infestation using fuzzy logic
(WILEY-BLACKWELL, 2008)
Despite modern weed control practices, weeds continue to be a threat to agricultural production. Considering the variability of weeds, a classification methodology for the risk of infestation in agricultural zones using ...
Soil and Weed Survey for Spatially Variable Herbicide Application on Railways
(2004-02-01)
Weed control on railways is frequently done by herbicide application, using large amounts of chemicals and labour. Only a few hectares of surface area on a railway can be many kilometres long so high levels of spatial ...
Risk prediction for weed infestation using classification rules
(2009-12-01)
This paper proposes a fuzzy classification system for the risk of infestation by weeds in agricultural zones considering the variability of weeds. The inputs of the system are features of the infestation extracted from ...
Risk prediction for weed infestation using classification rules
(2009-12-01)
This paper proposes a fuzzy classification system for the risk of infestation by weeds in agricultural zones considering the variability of weeds. The inputs of the system are features of the infestation extracted from ...
Weed mapping using a machine vision system
(Planta Daninha, 2017)
Imagens multiespectrais e inteligência artificial para predição da densidade de plantas espontâneas em plantio de Eucalyptus saligna
(Universidade Federal de Santa MariaBrasilRecursos Florestais e Engenharia FlorestalUFSMPrograma de Pós-Graduação em Engenharia FlorestalCentro de Ciências Rurais, 2022-08-31)
The management of Eucalyptus production has its technical operational processes
well defined and consolidated throughout the country. However, the management of
weeds, which compete with Eucalyptus plants, decrease the ...
Using Bayesian networks with rule extraction to infer the risk of weed infestation in a corn-crop
(PERGAMON-ELSEVIER SCIENCE LTD, 2009)
This paper describes the modeling of a weed infestation risk inference system that implements a collaborative inference scheme based on rules extracted from two Bayesian network classifiers. The first Bayesian classifier ...
Assessment of aquatic plants in the reservoirs of AES-Tiete and development of an integrated control model for the most important species
(Marcel Dekker Inc, 2005-01-01)
The general objective of this work was to develop a monitoring and management model for aquatic plants that could be used in reservoir cascades in Brazil, using the reservoirs of AES-Tiete as a study case. The investigations ...