Precision conservation: from visual analysis of soil aggregates to the use of neural networks

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.contributorUniversidade Estadual Paulista (Unesp)-
Autor(es): dc.contributorInstituto Agronômico de Campinas-
Autor(es): dc.contributorUniversidade Estadual de Campinas (UNICAMP)-
Autor(es): dc.contributorPontifícia Universidade Católica de Campinas/PUC-
Autor(es): dc.creatorRibeiro, Admilson Írio [UNESP]-
Autor(es): dc.creatorFilho, Afonso Peche-
Autor(es): dc.creatorRosas, Claudia Liliana Gutierrez [UNESP]-
Autor(es): dc.creatorAlbiero, Daniel-
Autor(es): dc.creatorFengler, Felipe Hashimoto [UNESP]-
Autor(es): dc.creatorde Medeiros, Gerson Araujo [UNESP]-
Autor(es): dc.creatorDiniz, Ivando Severino [UNESP]-
Autor(es): dc.creatorCarvalho, Marcela Merides [UNESP]-
Autor(es): dc.creatorLongo, Regina Márcia-
Data de aceite: dc.date.accessioned2022-02-22T00:49:43Z-
Data de disponibilização: dc.date.available2022-02-22T00:49:43Z-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2021-06-25-
Data de envio: dc.date.issued2019-12-31-
Fonte completa do material: dc.identifierhttp://dx.doi.org/10.5935/1806-6690.20200101-
Fonte completa do material: dc.identifierhttp://hdl.handle.net/11449/207268-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/11449/207268-
Descrição: dc.descriptionThe concept of precision conservation can be defined as a set of space technologies and other procedures linked to mappable environmental variables, which can be used to program conservation management practices for natural resources that consider the variability of these variables in space and time within of natural or agricultural systems. In this context, structural loss of soil through human activities is considered, as with a process with a spatial and temporal variation. The management of soil aggregation conditions can contribute to more regenerative and sustainable agricultural processes. It allows spatial analysis technologies through georeferenced visual indicators or even the use of systems with automatic learning, known as deep learning. In this sense, a fair visual method was developed with an analysis of fuzzy logic to classify aggregates in terms of shape, surface roughness, and biogenic structures. Thus, in a second stage, a model of the artificial neural network was developed, capable of detecting and classifying different forms of soil aggregates, thus allowing a brief discussion of the theme and its potential for application in conservation management through the analysis of aggregates via systems automatic sorting. In this way, elements are presented for the motivation of research and development in adaptive technologies in supporting decision-making that can help integrate dynamic and spatial information in the understanding of the soil’s structural condition to preserve the soil more precisely.-
Descrição: dc.descriptionPrograma de Pós-Graduação em Ciências Ambientais Departamento de Engenharia Ambiental Universidade Estadual Paulista/UNESP, Sorocaba-SP-
Descrição: dc.descriptionInstituto Agronômico de Campinas, Rod. Dom Gabriel Paulino Bueno Couto, km 65, Japi, Jundiai-SP-
Descrição: dc.descriptionUniversidade Estadual de Campinas/FEAGRI-UNICAMP, Campinas-SP-
Descrição: dc.descriptionCentro de Ciências Exatas Ambientais e de Tecnologia Pontifícia Universidade Católica de Campinas/PUC, Campinas-SP-
Descrição: dc.descriptionPrograma de Pós-Graduação em Ciências Ambientais Departamento de Engenharia Ambiental Universidade Estadual Paulista/UNESP, Sorocaba-SP-
Formato: dc.format01-13-
Idioma: dc.languageen-
Relação: dc.relationRevista Ciencia Agronomica-
???dc.source???: dc.sourceScopus-
Palavras-chave: dc.subjectArtificial neural networks-
Palavras-chave: dc.subjectFuzzy logic-
Palavras-chave: dc.subjectMorphometry-
Palavras-chave: dc.subjectSoil aggregate-
Título: dc.titlePrecision conservation: from visual analysis of soil aggregates to the use of neural networks-
Tipo de arquivo: dc.typelivro digital-
Aparece nas coleções:Repositório Institucional - Unesp

Não existem arquivos associados a este item.