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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
07/10/2021 |
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Data da última atualização: |
08/10/2021 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
SOUSA, M. A. de; SOUZA, K. X. S. de; CAMARGO NETO, J.; TERNES, S.; YANO, I. H. |
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Afiliação: |
MARIANA ALVES DE SOUSA, BOLSISTA CNPQ (PIBIC); KLEBER XAVIER SAMPAIO DE SOUZA, CNPTIA; JOAO CAMARGO NETO, CNPTIA; SONIA TERNES, CNPTIA; INACIO HENRIQUE YANO, CNPTIA. |
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Título: |
Usando a rede neural SSD para identificar frutos verdes em pomares de laranja. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
In: CONGRESSO INTERINSTITUCIONAL DE INICIAÇÃO CIENTÍFICA, 15., 2021, Campinas. Anais [...]. Campinas: Instituto de Zootecnia, 2021. p. 1-10. Ref. 21610. |
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ISBN: |
978-65-994972-0-9 |
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Idioma: |
Português |
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Notas: |
Evento online. CIIC 2021. |
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Conteúdo: |
RESUMO - A agropecuária é uma das mais importantes fontes de riqueza no Brasil. Dentro desse contexto, se destaca o cultivo das laranjas, principalmente na região de São Paulo e do Triângulo Mineiro. Infelizmente, o processo de estimativa da quantidade de frutos é custoso, assim, essa pesquisa tem como objetivo analisar por meio de visão computacional e de aprendizado profundo se essas técnicas geram resultados satisfatórios para identificar os frutos por fotografias. Caso apresente um bom desempenho, esta tecnologia poderá ser utilizada para prever a quantidade de laranjas em árvores. |
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Palavras-Chave: |
Aprendizado profundo; Cultura da laranja; Deep learning; Rede SSD; Redes neurais; SSD network; Visão computacional. |
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Thesaurus Nal: |
Computer vision; Neural networks. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/226801/1/RE21610.pdf
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Marc: |
LEADER 01555nam a2200289 a 4500
001 2135159
005 2021-10-08
008 2021 bl uuuu u00u1 u #d
020 $a978-65-994972-0-9
100 1 $aSOUSA, M. A. de
245 $aUsando a rede neural SSD para identificar frutos verdes em pomares de laranja.$h[electronic resource]
260 $aIn: CONGRESSO INTERINSTITUCIONAL DE INICIAÇÃO CIENTÍFICA, 15., 2021, Campinas. Anais [...]. Campinas: Instituto de Zootecnia, 2021. p. 1-10. Ref. 21610.$c2021
500 $aEvento online. CIIC 2021.
520 $aRESUMO - A agropecuária é uma das mais importantes fontes de riqueza no Brasil. Dentro desse contexto, se destaca o cultivo das laranjas, principalmente na região de São Paulo e do Triângulo Mineiro. Infelizmente, o processo de estimativa da quantidade de frutos é custoso, assim, essa pesquisa tem como objetivo analisar por meio de visão computacional e de aprendizado profundo se essas técnicas geram resultados satisfatórios para identificar os frutos por fotografias. Caso apresente um bom desempenho, esta tecnologia poderá ser utilizada para prever a quantidade de laranjas em árvores.
650 $aComputer vision
650 $aNeural networks
653 $aAprendizado profundo
653 $aCultura da laranja
653 $aDeep learning
653 $aRede SSD
653 $aRedes neurais
653 $aSSD network
653 $aVisão computacional
700 1 $aSOUZA, K. X. S. de
700 1 $aCAMARGO NETO, J.
700 1 $aTERNES, S.
700 1 $aYANO, I. H.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agroenergia. Para informações adicionais entre em contato com cnpae.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Agroenergia. |
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Data corrente: |
24/06/2021 |
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Data da última atualização: |
30/06/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 4 |
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Autoria: |
GOMES, F. P.; ALMEIDA, A. F. de; MIELKE, M. S.; LAVIOLA, B. G.; SILVA, L. D. da. |
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Afiliação: |
FÁBIO PINTO GOMES, Universidade Estadual de Santa Cruz; ALEX-ALAN FURTADO DE ALMEIDA, Universidade Estadual de Santa Cruz; MARCELO SCHRAMM MIELKE, Universidade Estadual de Santa Cruz; BRUNO GALVEAS LAVIOLA, CNPAE; LEANDRO DIAS DA SILVA, Universidade Estadual do Sudoeste da Bahia. |
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Título: |
Nocturnal acidification in leaves of two genotypes of Jatropha curcas L., subjected to soil water deficit. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Plant Physiology Reports, v. 26, p. 220-230, 2021. |
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Volume: |
26 |
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Páginas: |
p. 220-230 |
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ISSN: |
2662-2548 |
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DOI: |
https://doi.org/10.1007/s40502-021-00576-2 |
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Idioma: |
Inglês |
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Conteúdo: |
Jatropha curcas has been considered as a potential oil source for biodiesel production in tropical and subtropical areas. The relationships between water deficit-induced nocturnal acidification and leaf succulence, gas exchange rates and water relations in leaves of J. curcas were accessed in a greenhouse experiment. Two genotypes, from regions of Brazil with contrasting climate (CNPAE183, from a dry and hot tropical climate and CNPAE191, from a humid subtropical climate), were maintained under full irrigation or were subjected to water deficit for 49 days followed by recovery for 7 days. Leaf relative water content decreased with water deficit from 85.4 to 77.5%, in both genotypes. Pre-dawn leaf water potential decreased from - 0.5 MPa in irrigated plants - 1.0 MPa (in CNPAE183) and to - MPa (in CNPAE191). Slow and less intense decrease of leaf gas exchange in CNPAE191 than in CNPAE183 suggests a high effective water use under water deficit in the former. Leaf nocturnal acidification increased 4.3-fold in water deficit plants of both genotypes and a positive correlation between nocturnal acidification and leaf succulence, expressed as fresh mass per dry mass, was observed. Water deficit-induced nocturnal acid accumulation and a positive correlation between nocturnal acidification and leaf succulence were thoroughly demonstrated. While such nocturnal acidification may be related to osmotic adjustment, its correlation with leaf succulence suggests a weak CAM-cycling activity in leaves of J. curcas which, along with other water-conserving mechanisms, may help to explain the widely reported drought tolerance of this species. MenosJatropha curcas has been considered as a potential oil source for biodiesel production in tropical and subtropical areas. The relationships between water deficit-induced nocturnal acidification and leaf succulence, gas exchange rates and water relations in leaves of J. curcas were accessed in a greenhouse experiment. Two genotypes, from regions of Brazil with contrasting climate (CNPAE183, from a dry and hot tropical climate and CNPAE191, from a humid subtropical climate), were maintained under full irrigation or were subjected to water deficit for 49 days followed by recovery for 7 days. Leaf relative water content decreased with water deficit from 85.4 to 77.5%, in both genotypes. Pre-dawn leaf water potential decreased from - 0.5 MPa in irrigated plants - 1.0 MPa (in CNPAE183) and to - MPa (in CNPAE191). Slow and less intense decrease of leaf gas exchange in CNPAE191 than in CNPAE183 suggests a high effective water use under water deficit in the former. Leaf nocturnal acidification increased 4.3-fold in water deficit plants of both genotypes and a positive correlation between nocturnal acidification and leaf succulence, expressed as fresh mass per dry mass, was observed. Water deficit-induced nocturnal acid accumulation and a positive correlation between nocturnal acidification and leaf succulence were thoroughly demonstrated. While such nocturnal acidification may be related to osmotic adjustment, its correlation with leaf succulence suggests a weak CAM-cycling activity ... Mostrar Tudo |
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Palavras-Chave: |
Leaf gas exchange. |
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Thesagro: |
Bioenergia; Euphorbiaceae. |
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Thesaurus NAL: |
Bioenergy; Drought tolerance; Jatropha. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 02493naa a2200289 a 4500
001 2132548
005 2021-06-30
008 2021 bl uuuu u00u1 u #d
022 $a2662-2548
024 7 $ahttps://doi.org/10.1007/s40502-021-00576-2$2DOI
100 1 $aGOMES, F. P.
245 $aNocturnal acidification in leaves of two genotypes of Jatropha curcas L., subjected to soil water deficit.$h[electronic resource]
260 $c2021
300 $ap. 220-230 26
490 $v26
520 $aJatropha curcas has been considered as a potential oil source for biodiesel production in tropical and subtropical areas. The relationships between water deficit-induced nocturnal acidification and leaf succulence, gas exchange rates and water relations in leaves of J. curcas were accessed in a greenhouse experiment. Two genotypes, from regions of Brazil with contrasting climate (CNPAE183, from a dry and hot tropical climate and CNPAE191, from a humid subtropical climate), were maintained under full irrigation or were subjected to water deficit for 49 days followed by recovery for 7 days. Leaf relative water content decreased with water deficit from 85.4 to 77.5%, in both genotypes. Pre-dawn leaf water potential decreased from - 0.5 MPa in irrigated plants - 1.0 MPa (in CNPAE183) and to - MPa (in CNPAE191). Slow and less intense decrease of leaf gas exchange in CNPAE191 than in CNPAE183 suggests a high effective water use under water deficit in the former. Leaf nocturnal acidification increased 4.3-fold in water deficit plants of both genotypes and a positive correlation between nocturnal acidification and leaf succulence, expressed as fresh mass per dry mass, was observed. Water deficit-induced nocturnal acid accumulation and a positive correlation between nocturnal acidification and leaf succulence were thoroughly demonstrated. While such nocturnal acidification may be related to osmotic adjustment, its correlation with leaf succulence suggests a weak CAM-cycling activity in leaves of J. curcas which, along with other water-conserving mechanisms, may help to explain the widely reported drought tolerance of this species.
650 $aBioenergy
650 $aDrought tolerance
650 $aJatropha
650 $aBioenergia
650 $aEuphorbiaceae
653 $aLeaf gas exchange
700 1 $aALMEIDA, A. F. de
700 1 $aMIELKE, M. S.
700 1 $aLAVIOLA, B. G.
700 1 $aSILVA, L. D. da
773 $tPlant Physiology Reports$gv. 26, p. 220-230, 2021.
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Embrapa Agroenergia (CNPAE) |
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