Application of Fuzzy Logic in Prediction of Fire in João Pessoa City - Brazil

Oliveira, André Luiz Sá de; Nero, Marcelo Antonio

doi:10.1007/978-3-642-41908-9_33

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…For this reason, systems that manage to predict these long-term consequences will be very useful. This proposition has been presented in different investigations such as [87,[106][107][108][109][110][111][112][113][114][115][116][117][118][119] where agent-based models were used; likewise, the research of [92,96,[120][121][122][123][124][125] employed the technique of cellular automaton.…”

Section: Discussionmentioning

confidence: 99%

“…In the United Kingdom, it was used for the effect of increasing government incentives to improve biodiversity and its influence on the decision-making process on land managers [112]. In Brazil, fire risk maps were made for production in agricultural areas [113]. Another study in the UK explored various mechanisms to give incentives to farmers and to thus improve biodiversity management, including activity-based and results-based incentives, in which farmers potentially benefit from the activities of neighbors [114].…”

Section: Agent-based Modelmentioning

confidence: 99%

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Review of Artificial Intelligence Applied in Decision-Making Processes in Agricultural Public Policy

2020

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The objective of this article is to review how Artificial Intelligence (AI) tools have helped the process of formulating agricultural public policies in the world. For this, a search process was carried out in the main scientific repositories finding different publications. The findings have shown that, first, the most commonly used AI tools are agent-based models, cellular automata, and genetic algorithms. Secondly, they have been utilized to determine land and water use, and agricultural production. In the end, the large usefulness that AI tools have in the process of formulating agricultural public policies is concluded.

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Section: Discussionmentioning

confidence: 99%

Section: Agent-based Modelmentioning

confidence: 99%

Review of Artificial Intelligence Applied in Decision-Making Processes in Agricultural Public Policy

2020

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Bibliometric analysis of publications discussing the use of the artificial intelligence technique agent-based models in sustainable agriculture

Sánchez¹,

Rodríguez²,

Espitia³

2022

Heliyon

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The use of remote sensing techniques by Modis (MCD45A1) images using to identify and evaluate burned areas in the metropolitan region of Belo Horizonte - MG, Brazil

Fernandes

Nero

Temba

et al. 2020

SustDeb

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Estudos sobre a ocorrência de queimadas são muito importantes, visto que eles corroboram medidas de controle, prevenção e monitoramento destas. Incêndios florestais causam vários impactos, entre eles perda da biodiversidade e prejuízo à saúde humana, sendo um problema tanto na esfera ambiental quanto social e política. Uma forma de monitoramento desses incêndios é a utilização de técnicas de sensoriamento remoto. Assim, a proposta do presente trabalho foi a utilização de imagens Modis (MCD45A1) para identificação e avaliação de áreas queimadas na região metropolitana de Belo Horizonte, entre os anos de 2012 e 2016, validando-o com dados do sensor Landsat-8/OLI. Com o emprego dos dados Landsat, é possível delimitar com melhor precisão a dimensão da área queimada, mas exigindo-se conhecimento técnico operacional e corpo técnico especializado para tanto. Já o produto decorrente do Modis, é mais acessível e de fácil utilização, sendo de aplicação direta, pois já informa os focos de incêndio. Observou-se grande ocorrência de queimadas na região de estudo, principalmente na primavera e no inverno. Os resultados encontrados aqui poderão ser utilizados em estudos futuros para diminuir a incidência de queimadas na região e assim preservar a biodiversidade de biomas importantes nela presente.

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Application of Fuzzy Logic in Prediction of Fire in João Pessoa City - Brazil

Cited by 3 publications

References 2 publications

Review of Artificial Intelligence Applied in Decision-Making Processes in Agricultural Public Policy

Review of Artificial Intelligence Applied in Decision-Making Processes in Agricultural Public Policy

Bibliometric analysis of publications discussing the use of the artificial intelligence technique agent-based models in sustainable agriculture

The use of remote sensing techniques by Modis (MCD45A1) images using to identify and evaluate burned areas in the metropolitan region of Belo Horizonte - MG, Brazil

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