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 | Acesso ao texto completo restrito à biblioteca da Embrapa Agricultura Digital. Para informações adicionais entre em contato com cnptia.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
06/02/2017 |
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Data da última atualização: |
07/01/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
BARBEDO, J. G. A. |
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Afiliação: |
JAYME GARCIA ARNAL BARBEDO, CNPTIA. |
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Título: |
A new automatic method for disease symptom segmentation in digital photographs of plant leaves. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
European Journal of Plant Pathology, Dordrecht, v. 147, n. 2, p. 349-364, Feb. 2017. |
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DOI: |
10.1007/s10658-016-1007-6 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract. The segmentation of symptoms during image analysis of diseased plant leaves is an essential process for detection and classification of diseases. However, there are challenges involved in the task, many of them related to the variability of image and host/symptom characteristics and conditions. As a result of those challenges, the methods proposed in the literature so far focus on a specific problem and are usually bounded by tight constraints regarding image capture conditions. This research explores a new automatic method for segmenting disease symptoms on plant leaves that was designed to be applicable in a wide range of situations. The proposed technique employs only color channel manipulations and Boolean operations applied on binary masks, thus being simpler and more robust compared to many previously described automatic methods. Its effectiveness is demonstrated by tests performed over a large database containing images of 77 different diseases of 11 plant species. A comparison with manual segmentation is also presented, further reinforcing the advantages of the proposed approach. |
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Palavras-Chave: |
Base de dados de imagem; Image database; Lesion types; Processamento de imagem; Symptom variations; Tipos de lesão. |
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Thesagro: |
Doença de planta; Sintoma. |
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Thesaurus Nal: |
Disease diagnosis; Image analysis; Plant diseases and disorders. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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Marc: |
LEADER 01966naa a2200265 a 4500
001 2062753
005 2020-01-07
008 2017 bl uuuu u00u1 u #d
024 7 $a10.1007/s10658-016-1007-6$2DOI
100 1 $aBARBEDO, J. G. A.
245 $aA new automatic method for disease symptom segmentation in digital photographs of plant leaves.$h[electronic resource]
260 $c2017
520 $aAbstract. The segmentation of symptoms during image analysis of diseased plant leaves is an essential process for detection and classification of diseases. However, there are challenges involved in the task, many of them related to the variability of image and host/symptom characteristics and conditions. As a result of those challenges, the methods proposed in the literature so far focus on a specific problem and are usually bounded by tight constraints regarding image capture conditions. This research explores a new automatic method for segmenting disease symptoms on plant leaves that was designed to be applicable in a wide range of situations. The proposed technique employs only color channel manipulations and Boolean operations applied on binary masks, thus being simpler and more robust compared to many previously described automatic methods. Its effectiveness is demonstrated by tests performed over a large database containing images of 77 different diseases of 11 plant species. A comparison with manual segmentation is also presented, further reinforcing the advantages of the proposed approach.
650 $aDisease diagnosis
650 $aImage analysis
650 $aPlant diseases and disorders
650 $aDoença de planta
650 $aSintoma
653 $aBase de dados de imagem
653 $aImage database
653 $aLesion types
653 $aProcessamento de imagem
653 $aSymptom variations
653 $aTipos de lesão
773 $tEuropean Journal of Plant Pathology, Dordrecht$gv. 147, n. 2, p. 349-364, Feb. 2017.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Biblioteca |
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Origem |
Tipo/Formato |
Classificação |
Cutter |
Registro |
Volume |
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URL |
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Registro Completo
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Biblioteca(s): |
Embrapa Pesca e Aquicultura. |
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Data corrente: |
26/06/2023 |
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Data da última atualização: |
26/06/2023 |
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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: |
ANGELOCCI, L. R.; PILAU, F. G.; SIMON, J.; MARIN, F. R. |
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Afiliação: |
LUIZ ROBERTO ANGELOCCI, ESALQ; FELIPE GUSTAVO PILAU, ESALQ; JONES SIMON, CNPASA; FÁBIO RICARDO MARIN, ESALQ. |
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Título: |
Performance and uncertainty of the all-wave net radiation space-time integrators by treetops. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
Agrometeoros, v. 31, e027127, 2023. |
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ISSN: |
2526-7043 |
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DOI: |
http://dx.doi.org/10.31062/agrom.v31.e027217 |
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Idioma: |
Inglês |
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Conteúdo: |
The quantification of electromagnetic energy exchanged between plants and their environments is important for ecophysiological studies. Measurement techniques have been developed for the determination of these changes in different spatial scales. In the literature are found some studies describing the use of devices carrying radiometers rotating around isolated trees. Otherwise, when it comes to plantations with spatial arrangement of trees in hedgerows, it is more convenient to use a notional cylindrical geometry of measurement. In this paper we described technical details of assembling devices moving along a stretch of the planting line, generating a notional cylindrical geometry for space-time integration of the all-wave radiation absorbed by the trees in hedgerow. Throughout the experiments it was verified the need for minor modifications which led to the improvement of mobile systems of measurement. Tests with the device free of plants indicated that the errors arising from the null deviation in this condition were sufficiently small. Analyses of measurements of each net radiometer over several days and, also comparison with measurement of daily latent heat calculated from sap flow in 24-hr period indicated that the proposed system gives accurate measurements, being reliable for testing the results of physical-mathematical models. |
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Palavras-Chave: |
Hedgerows; Light absorption; Net radiation. |
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Thesagro: |
Absorção; Café; Radiação. |
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Thesaurus NAL: |
Absorption; Citrus; Coffee beans; Trees. |
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Categoria do assunto: |
F Plantas e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1154592/1/agrometeoros-2023.pdf
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Marc: |
LEADER 02177naa a2200301 a 4500
001 2154592
005 2023-06-26
008 2023 bl uuuu u00u1 u #d
022 $a2526-7043
024 7 $ahttp://dx.doi.org/10.31062/agrom.v31.e027217$2DOI
100 1 $aANGELOCCI, L. R.
245 $aPerformance and uncertainty of the all-wave net radiation space-time integrators by treetops.$h[electronic resource]
260 $c2023
520 $aThe quantification of electromagnetic energy exchanged between plants and their environments is important for ecophysiological studies. Measurement techniques have been developed for the determination of these changes in different spatial scales. In the literature are found some studies describing the use of devices carrying radiometers rotating around isolated trees. Otherwise, when it comes to plantations with spatial arrangement of trees in hedgerows, it is more convenient to use a notional cylindrical geometry of measurement. In this paper we described technical details of assembling devices moving along a stretch of the planting line, generating a notional cylindrical geometry for space-time integration of the all-wave radiation absorbed by the trees in hedgerow. Throughout the experiments it was verified the need for minor modifications which led to the improvement of mobile systems of measurement. Tests with the device free of plants indicated that the errors arising from the null deviation in this condition were sufficiently small. Analyses of measurements of each net radiometer over several days and, also comparison with measurement of daily latent heat calculated from sap flow in 24-hr period indicated that the proposed system gives accurate measurements, being reliable for testing the results of physical-mathematical models.
650 $aAbsorption
650 $aCitrus
650 $aCoffee beans
650 $aTrees
650 $aAbsorção
650 $aCafé
650 $aRadiação
653 $aHedgerows
653 $aLight absorption
653 $aNet radiation
700 1 $aPILAU, F. G.
700 1 $aSIMON, J.
700 1 $aMARIN, F. R.
773 $tAgrometeoros$gv. 31, e027127, 2023.
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Embrapa Pesca e Aquicultura (CNPASA) |
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