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Registro Completo |
Biblioteca(s): |
Embrapa Algodão. |
Data corrente: |
26/12/2017 |
Data da última atualização: |
26/12/2017 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
BEZERRA, E. B.; FRANÇA, D. C.; MORAIS, D. D. de S. M.; ROSA, M. de F.; MORAIS, J. P. S.; ARAÚJO, E. M.; WELLEN, R. M. R. |
Afiliação: |
ELEIEBER BARROS BEEZERRA, UFCG; DANYELLE CAMPOS FRANÇA, UFCG; DAYANNE DINIZ de SOUZA MORAIS, UFCG; MORSYLEIDE DE FREITAS ROSA, CNPAT; JOAO PAULO SARAIVA MORAIS, CNPA; EDCLEIDE MARIA ARAÚJO, UFCG; RENATE MARIA RAMOS WELLEN, UFPB. |
Título: |
Processing and Properties of PCL/Cotton Linter Compounds. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
Materials Research, v. 20, n. 2, p. 317-325, 2017. |
DOI: |
10.1590/1980-5373-MR-2016-0084 |
Idioma: |
Inglês |
Conteúdo: |
Biodegradable compounds of poly(?-949;-caprolactone) (PCL)/ cotton linter were melting mixed with filling content ranging from 1% to 5% w/w. Cotton linter is an important byproduct of textile industry; in this work it was used in raw state and after acid hydrolysis. According to the results of torque rheometry no decaying of viscosity took place during compounding, evidencing absence of breaking down in molecular weight. The thermal stability increased by 20% as observed in HDT for PCL/cotton nanolinter compounds. Adding cotton linter to PCL didn't change its crystalline character as showed by XRD; however an increase in degree of crystallinity was observed by means of DSC. From mechanical tests in tension was observed an increase in ductility of PCL, and from mechanical tests in flexion an increase in elastic modulus upon addition of cotton linter, whereas impact strength presented lower values for PCL/cotton linter and PCL/cotton nanolinter compounds. SEM images showed that PCL presents plastic fracture and cotton linter has an interlacing fibril structure with high L/D ratio, which are in agreement with matrix/fibril morphology observed for PCL/cotton linter compounds. PCL/cotton linter compounds made in this work cost less than neat PCL matrix and presented improved properties making feasible its commercial use. |
Thesagro: |
Algodão. |
Thesaurus Nal: |
Cotton. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/169872/1/Processing-and-properties.pdf
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Marc: |
LEADER 01990naa a2200229 a 4500 001 2083626 005 2017-12-26 008 2017 bl uuuu u00u1 u #d 024 7 $a10.1590/1980-5373-MR-2016-0084$2DOI 100 1 $aBEZERRA, E. B. 245 $aProcessing and Properties of PCL/Cotton Linter Compounds.$h[electronic resource] 260 $c2017 520 $aBiodegradable compounds of poly(?-949;-caprolactone) (PCL)/ cotton linter were melting mixed with filling content ranging from 1% to 5% w/w. Cotton linter is an important byproduct of textile industry; in this work it was used in raw state and after acid hydrolysis. According to the results of torque rheometry no decaying of viscosity took place during compounding, evidencing absence of breaking down in molecular weight. The thermal stability increased by 20% as observed in HDT for PCL/cotton nanolinter compounds. Adding cotton linter to PCL didn't change its crystalline character as showed by XRD; however an increase in degree of crystallinity was observed by means of DSC. From mechanical tests in tension was observed an increase in ductility of PCL, and from mechanical tests in flexion an increase in elastic modulus upon addition of cotton linter, whereas impact strength presented lower values for PCL/cotton linter and PCL/cotton nanolinter compounds. SEM images showed that PCL presents plastic fracture and cotton linter has an interlacing fibril structure with high L/D ratio, which are in agreement with matrix/fibril morphology observed for PCL/cotton linter compounds. PCL/cotton linter compounds made in this work cost less than neat PCL matrix and presented improved properties making feasible its commercial use. 650 $aCotton 650 $aAlgodão 700 1 $aFRANÇA, D. C. 700 1 $aMORAIS, D. D. de S. M. 700 1 $aROSA, M. de F. 700 1 $aMORAIS, J. P. S. 700 1 $aARAÚJO, E. M. 700 1 $aWELLEN, R. M. R. 773 $tMaterials Research$gv. 20, n. 2, p. 317-325, 2017.
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Registro original: |
Embrapa Algodão (CNPA) |
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Registro Completo
Biblioteca(s): |
Embrapa Uva e Vinho. |
Data corrente: |
30/08/2016 |
Data da última atualização: |
08/03/2019 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
NACHTIGALL, L. G.; ARAUJO, R. M.; NACHTIGALL, G. R. |
Afiliação: |
GILMAR RIBEIRO NACHTIGALL, CNPUV. |
Título: |
Classification of apple tree disorders using Convolutional Neural Networks. |
Ano de publicação: |
2016 |
Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENSE, 28., 2016, San Jose, United States. Anais...San Jose, United States: IEEE, Paper Submission 127, p. 472-476, 2016. |
Idioma: |
Português |
Conteúdo: |
Abstract?This paper studies the use of Convolutional Neural Networks to automatically detect and classify diseases, nutritional deficiencies and damage by herbicides on apple trees from images of their leaves. This task is fundamental to guarantee a high quality of the resulting yields and is currently largely performed by experts in the field, which can severely limit scale and add to costs. By using a novel data set containing labeled examples consisting of 2539 images from 6 known disorders, we show that trained Convolutional Neural Networks are able to match or outperform experts in this task, achieving a 97.3% accuracy on a hold-out set. |
Palavras-Chave: |
Apple trees; Convolutional Neural Networks; Damage; Diseases; Herbicide; Macieira; Nutritional deficiencies; Redes neurais. |
Thesagro: |
Maca. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/157421/1/Nachtigall-IEE28-2016-472-476.pdf
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Marc: |
LEADER 01465nam a2200241 a 4500 001 2052112 005 2019-03-08 008 2016 bl uuuu u00u1 u #d 100 1 $aNACHTIGALL, L. G. 245 $aClassification of apple tree disorders using Convolutional Neural Networks.$h[electronic resource] 260 $aIn: INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENSE, 28., 2016, San Jose, United States. Anais...San Jose, United States: IEEE, Paper Submission 127, p. 472-476$c2016 520 $aAbstract?This paper studies the use of Convolutional Neural Networks to automatically detect and classify diseases, nutritional deficiencies and damage by herbicides on apple trees from images of their leaves. This task is fundamental to guarantee a high quality of the resulting yields and is currently largely performed by experts in the field, which can severely limit scale and add to costs. By using a novel data set containing labeled examples consisting of 2539 images from 6 known disorders, we show that trained Convolutional Neural Networks are able to match or outperform experts in this task, achieving a 97.3% accuracy on a hold-out set. 650 $aMaca 653 $aApple trees 653 $aConvolutional Neural Networks 653 $aDamage 653 $aDiseases 653 $aHerbicide 653 $aMacieira 653 $aNutritional deficiencies 653 $aRedes neurais 700 1 $aARAUJO, R. M. 700 1 $aNACHTIGALL, G. R.
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