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| 1. |  | MORAES, M. S.; SILVA, G. F.; MATIAS, C. V. T.; SANTANA, E. P.; PEREIRA, F. da S.; ROCHA, R. B. Caracterização da variabilidade genética de clones de Coffea canephora Pierre ex Froenher. In: CONGRESSO BRASILEIRO DE AGRONOMIA, 29., 2015, Foz do Iguaçu. Desafios e oportunidades profissionais: : [anais]. Curitiba: CONFEA-PR, 2015. 1 CD-ROM.| Biblioteca(s): Embrapa Rondônia. |
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Registro Completo
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
03/01/2020 |
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Data da última atualização: |
03/01/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 2 |
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Autoria: |
BOLFE, E. L. |
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Afiliação: |
EDSON LUIS BOLFE, CNPTIA, Unicamp. |
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Título: |
Application of geotechnologies in the development of sustainable agriculture in Brazil. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
International Journal of Advanced Engineering Research and Science, v. 6, n. 12, p. 458-463, Dec. 2019. |
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DOI: |
https://dx.doi.org/10.22161/ijaers.612.53 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract - The global consumption of food, water, fibers and energy is growing at exponential rates. Brazil has become a player of the world economy by becoming an important agricultural producer, and the country has technical and agronomic conditions to produce with quality and sustainability. However, there is a need for more site-specific natural resource management for judicious use of agricultural inputs to promote productivity and ecosystem services. The issue is particularly urgent, as population in rural areas have been migrating to cities for several reasons. Science may decisively contribute to agriculture with sustainability through management procedures that use remote sensing and precision farming. Remote sensing monitoring plays a critical role in supporting strategic decision-making, and to define private and public policies. New researches and innovations have changed rapidly, due to advances in information technology and geotechnology, supported by great data availability, new processing algorithms, data fusion, and developments in data mining. The present review paper aims to present actions of Brazilian Agricultural Research Corporation and collaborating organizations in the application of remote sensing and geospatial databases in the monitoring of Brazilian agriculture. |
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Palavras-Chave: |
Bases de dados geoespaciais; Geospatial databases; Geotechnology; Geotecnologia; Recursos naturais. |
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Thesagro: |
Agricultura; Desenvolvimento Rural; Desenvolvimento Sustentável; Sensoriamento Remoto. |
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Thesaurus NAL: |
Agriculture; Natural resources; Remote sensing; Rural development. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/208051/1/AP-Application-geotechnologies.pdf
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Marc: |
LEADER 02260naa a2200289 a 4500
001 2118018
005 2020-01-03
008 2019 bl uuuu u00u1 u #d
024 7 $ahttps://dx.doi.org/10.22161/ijaers.612.53$2DOI
100 1 $aBOLFE, E. L.
245 $aApplication of geotechnologies in the development of sustainable agriculture in Brazil.$h[electronic resource]
260 $c2019
520 $aAbstract - The global consumption of food, water, fibers and energy is growing at exponential rates. Brazil has become a player of the world economy by becoming an important agricultural producer, and the country has technical and agronomic conditions to produce with quality and sustainability. However, there is a need for more site-specific natural resource management for judicious use of agricultural inputs to promote productivity and ecosystem services. The issue is particularly urgent, as population in rural areas have been migrating to cities for several reasons. Science may decisively contribute to agriculture with sustainability through management procedures that use remote sensing and precision farming. Remote sensing monitoring plays a critical role in supporting strategic decision-making, and to define private and public policies. New researches and innovations have changed rapidly, due to advances in information technology and geotechnology, supported by great data availability, new processing algorithms, data fusion, and developments in data mining. The present review paper aims to present actions of Brazilian Agricultural Research Corporation and collaborating organizations in the application of remote sensing and geospatial databases in the monitoring of Brazilian agriculture.
650 $aAgriculture
650 $aNatural resources
650 $aRemote sensing
650 $aRural development
650 $aAgricultura
650 $aDesenvolvimento Rural
650 $aDesenvolvimento Sustentável
650 $aSensoriamento Remoto
653 $aBases de dados geoespaciais
653 $aGeospatial databases
653 $aGeotechnology
653 $aGeotecnologia
653 $aRecursos naturais
773 $tInternational Journal of Advanced Engineering Research and Science$gv. 6, n. 12, p. 458-463, Dec. 2019.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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