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Registro Completo |
Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
17/01/2008 |
Data da última atualização: |
18/10/2018 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
BASSOI, L. H.; DANTAS, B. F.; LIMA FILHO, J. M. P.; LIMA, M. A. C. de; LEAO, P. C. de S.; SILVA, D. J.; MAIA, J. L. T.; SOUZA, C. R.; SILVA, J. A. M.; RAMOS, M. M. |
Afiliação: |
LUIS HENRIQUE BASSOI, CPATSA; BARBARA FRANCA DANTAS, CPATSA; MARIA AUXILIADORA COELHO DE LIMA, CPATSA; PATRICIA COELHO DE SOUZA LEAO, CPATSA; DAVI JOSE SILVA, CPATSA. |
Título: |
Preliminary results of a long-term experiment about RDI and PRD irrigation strategies in winegrapes in São Francisco Valley, Brazil. |
Ano de publicação: |
2007 |
Fonte/Imprenta: |
Acta Horticulturae, Leuven, n. 754, p. 275-282, 2007. |
Idioma: |
Inglês |
Notas: |
Edição do Proceedings of the International Workshop on Advances in Grapevine and Wine Research, Venosa, Italy, Oct. 2007. |
Conteúdo: |
In the São Francisco Valley, Northeast Brazil, an evaluation of the regulated deficit irrigation (RDI) and partial rootzone drying (PRD) has been performed in winegrape cv. ?Syrah? grafted on rootstocks ?IAC 572? and ?1103 P?. Crop coefficients (Kc) throughout the vineyard establishment and the 1st cycle was estimated. RDI (depletion until 60% of total available soil water, initiated at the beginning of fruit maturation) and PRD (14 days watering of one side of the vine, initiated at fruit set) were tested in the 1st cycle. Water amount applied was slightly lower in PRD, so water use efficiency was slightly higher than RDI. Phenology, physiological measurements (net photosynthesis, transpiration, stomatal resistance, leaf water potential), yield, cluster number and weight, total soluble solids, and total titratable acidity were not influenced by irrigation strategies. Only phenol concentration was higher with PRD strategy. Further evaluations throughout growing seasons are needed to remarkable conclusions. |
Palavras-Chave: |
Nordeste; PRD; RDI; Vale do São Francisco; Videira. |
Thesagro: |
Irrigação; Qualidade; Uva; Variedade. |
Thesaurus Nal: |
Grapes; Vitis. |
Categoria do assunto: |
A Sistemas de Cultivo |
Marc: |
LEADER 02153naa a2200373 a 4500 001 1160347 005 2018-10-18 008 2007 bl uuuu u00u1 u #d 100 1 $aBASSOI, L. H. 245 $aPreliminary results of a long-term experiment about RDI and PRD irrigation strategies in winegrapes in São Francisco Valley, Brazil.$h[electronic resource] 260 $c2007 500 $aEdição do Proceedings of the International Workshop on Advances in Grapevine and Wine Research, Venosa, Italy, Oct. 2007. 520 $aIn the São Francisco Valley, Northeast Brazil, an evaluation of the regulated deficit irrigation (RDI) and partial rootzone drying (PRD) has been performed in winegrape cv. ?Syrah? grafted on rootstocks ?IAC 572? and ?1103 P?. Crop coefficients (Kc) throughout the vineyard establishment and the 1st cycle was estimated. RDI (depletion until 60% of total available soil water, initiated at the beginning of fruit maturation) and PRD (14 days watering of one side of the vine, initiated at fruit set) were tested in the 1st cycle. Water amount applied was slightly lower in PRD, so water use efficiency was slightly higher than RDI. Phenology, physiological measurements (net photosynthesis, transpiration, stomatal resistance, leaf water potential), yield, cluster number and weight, total soluble solids, and total titratable acidity were not influenced by irrigation strategies. Only phenol concentration was higher with PRD strategy. Further evaluations throughout growing seasons are needed to remarkable conclusions. 650 $aGrapes 650 $aVitis 650 $aIrrigação 650 $aQualidade 650 $aUva 650 $aVariedade 653 $aNordeste 653 $aPRD 653 $aRDI 653 $aVale do São Francisco 653 $aVideira 700 1 $aDANTAS, B. F. 700 1 $aLIMA FILHO, J. M. P. 700 1 $aLIMA, M. A. C. de 700 1 $aLEAO, P. C. de S. 700 1 $aSILVA, D. J. 700 1 $aMAIA, J. L. T. 700 1 $aSOUZA, C. R. 700 1 $aSILVA, J. A. M. 700 1 $aRAMOS, M. M. 773 $tActa Horticulturae, Leuven$gn. 754, p. 275-282, 2007.
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Embrapa Semiárido (CPATSA) |
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Registro Completo
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
20/03/2023 |
Data da última atualização: |
21/03/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
TORO, A. P. S. G. D. D.; BUENO, I. T.; WERNER, J. P. S.; ANTUNES, J. F. G.; LAMPARELLI, R. A. C.; COUTINHO, A. C.; ESQUERDO, J. C. D. M.; MAGALHÃES, P. S. G.; FIGUEIREDO, G. K. D. A. |
Afiliação: |
ANA P. S. G. D. D. TORO, UNIVERSIDADE ESTADUAL DE CAMPINAS; INACIO T. BUENO, UNIVERSIDADE ESTADUAL DE CAMPINAS; JOÃO PAULO SAMPAIO WERNER, UNIVERSIDADE ESTADUAL DE CAMPINAS; JOAO FRANCISCO GONCALVES ANTUNES, CNPTIA; RUBENS AUGUSTO DE CAMARGO LAMPARELLI, UNIVERSIDADE ESTADUAL DE CAMPINAS; ALEXANDRE CAMARGO COUTINHO, CNPTIA; JULIO CESAR DALLA MORA ESQUERDO, CNPTIA; PAULO S. G. MAGALHÃES, UNIVERSIDADE ESTADUAL DE CAMPINAS; GLEYCE KELLY DANTAS ARAÚJO FIGUEIREDO, UNIVERSIDADE ESTADUAL DE CAMPINAS. |
Título: |
SAR and optical data applied to early-season mapping of integrated crop-livestock systems using deep and machine learning algorithms. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Remote Sensing, v. 15, n. 4, 1130, Feb. 2023. |
DOI: |
https://doi.org/10.3390/rs15041130 |
Idioma: |
Inglês |
Conteúdo: |
In this work, we explored the potential of three machine and deep learning algorithms (random forest, long short-term memory, and transformer) to perform early-season (with three-time windows) mapping of ICLS fields. To explore the scalability of the proposed methods, we tested them in two regions with different latitudes, cloud cover rates, field sizes, landscapes, and crop types. Finally, the potential of SAR (Sentinel-1) and optical (Sentinel-2) data was tested. |
Palavras-Chave: |
Agricultura regenerativa; Aprendizado de máquina; Aprendizado profundo; Floresta aleatória; ICLS; Integrated Crop-livestock systems; Long short-term memory; LSTM; Multisource; Random forest; Regenerative agriculture; Sistemas integrados lavoura-pecuária; Transformer. |
Thesagro: |
Agricultura. |
Thesaurus NAL: |
Agriculture. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1152495/1/AP-SAR-optical-data-2023.pdf
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Marc: |
LEADER 01762naa a2200409 a 4500 001 2152495 005 2023-03-21 008 2023 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.3390/rs15041130$2DOI 100 1 $aTORO, A. P. S. G. D. D. 245 $aSAR and optical data applied to early-season mapping of integrated crop-livestock systems using deep and machine learning algorithms.$h[electronic resource] 260 $c2023 520 $aIn this work, we explored the potential of three machine and deep learning algorithms (random forest, long short-term memory, and transformer) to perform early-season (with three-time windows) mapping of ICLS fields. To explore the scalability of the proposed methods, we tested them in two regions with different latitudes, cloud cover rates, field sizes, landscapes, and crop types. Finally, the potential of SAR (Sentinel-1) and optical (Sentinel-2) data was tested. 650 $aAgriculture 650 $aAgricultura 653 $aAgricultura regenerativa 653 $aAprendizado de máquina 653 $aAprendizado profundo 653 $aFloresta aleatória 653 $aICLS 653 $aIntegrated Crop-livestock systems 653 $aLong short-term memory 653 $aLSTM 653 $aMultisource 653 $aRandom forest 653 $aRegenerative agriculture 653 $aSistemas integrados lavoura-pecuária 653 $aTransformer 700 1 $aBUENO, I. T. 700 1 $aWERNER, J. P. S. 700 1 $aANTUNES, J. F. G. 700 1 $aLAMPARELLI, R. A. C. 700 1 $aCOUTINHO, A. C. 700 1 $aESQUERDO, J. C. D. M. 700 1 $aMAGALHÃES, P. S. G. 700 1 $aFIGUEIREDO, G. K. D. A. 773 $tRemote Sensing$gv. 15, n. 4, 1130, Feb. 2023.
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