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Registro Completo |
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
08/02/2022 |
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Data da última atualização: |
11/03/2022 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
KUCHLER, P. C.; SIMÕES, M.; BEGUE, A.; FERRAZ, R. P. D. |
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Afiliação: |
PATRICK CALVANO KUCHLER, UERJ; MARGARETH GONCALVES SIMOES, CNPS; AGNÈS BEGUE, CIRAD; RODRIGO PECANHA DEMONTE FERRAZ, CNPS. |
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Título: |
Big earth observation data and machine learning for mapping crop-livestock integrated system in Brazil. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
In: WORLD CONGRESS ON INTEGRATED CROP-LIVESTOCK-FORESTRY SYSTEMS, 2., 2021. WCCLF 2021 proceedings. Brasília, DF: Embrapa, 2021. p. 904-909. WCCLF 2021. Evento online. |
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Idioma: |
Inglês |
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Conteúdo: |
The adoption of crop-livestock (iCL) integrated systems has been pointed out as an important strategy for increasing production based on sustainable intensification of land use in Brazil. Mapping and monitoring the iCL areas would allow us to know the expansion rates and the adoption level of the integrated system, being an important instrument for public policy management. However, due to the time-space variability from integrated production systems, developing methods based on remote sensing remains a major challenge. In this sense, this work discusses the application of Big Data and machine learning concepts in Earth Observation Data as a strategy to compose a methodology for monitoring the iCL in Brazil. We tested the capacity of the Random Forest (RF) classifier applied to MODIS time series to iCL detection in the Mato Grosso State, Brazil. For this, we evaluated the classification accuracy for the years between 2012 and 2019, totaling 3,864 images processed. The overall accuracy founded was between 0.77 and 0.89 and an fscore average of 0.85 was found for the iCL class. The generated maps showed a trajectory of sustainable intensification, with the expansion of the iCL area from 1,100,000 ha in 2012/2013 to 2,597,000 ha in 2018/2019, an increase of 135%. The results indicate that the use of the RF classification technique with MODIS times series has great potential to compose an iCL monitoring methodology, requiring parallel and cloud computing applied to advanced algorithms. MenosThe adoption of crop-livestock (iCL) integrated systems has been pointed out as an important strategy for increasing production based on sustainable intensification of land use in Brazil. Mapping and monitoring the iCL areas would allow us to know the expansion rates and the adoption level of the integrated system, being an important instrument for public policy management. However, due to the time-space variability from integrated production systems, developing methods based on remote sensing remains a major challenge. In this sense, this work discusses the application of Big Data and machine learning concepts in Earth Observation Data as a strategy to compose a methodology for monitoring the iCL in Brazil. We tested the capacity of the Random Forest (RF) classifier applied to MODIS time series to iCL detection in the Mato Grosso State, Brazil. For this, we evaluated the classification accuracy for the years between 2012 and 2019, totaling 3,864 images processed. The overall accuracy founded was between 0.77 and 0.89 and an fscore average of 0.85 was found for the iCL class. The generated maps showed a trajectory of sustainable intensification, with the expansion of the iCL area from 1,100,000 ha in 2012/2013 to 2,597,000 ha in 2018/2019, an increase of 135%. The results indicate that the use of the RF classification technique with MODIS times series has great potential to compose an iCL monitoring methodology, requiring parallel and cloud computing applied to advanced algo... Mostrar Tudo |
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Palavras-Chave: |
Machine learning; MODIS time series. |
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Thesagro: |
Agricultura Sustentável. |
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Thesaurus Nal: |
Sustainable agricultural intensification. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/231050/1/Big-earth-observation-data-and-machine-learning-2021.pdf
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Marc: |
LEADER 02262nam a2200193 a 4500
001 2139789
005 2022-03-11
008 2021 bl uuuu u00u1 u #d
100 1 $aKUCHLER, P. C.
245 $aBig earth observation data and machine learning for mapping crop-livestock integrated system in Brazil.$h[electronic resource]
260 $aIn: WORLD CONGRESS ON INTEGRATED CROP-LIVESTOCK-FORESTRY SYSTEMS, 2., 2021. WCCLF 2021 proceedings. Brasília, DF: Embrapa, 2021. p. 904-909. WCCLF 2021. Evento online.$c2021
520 $aThe adoption of crop-livestock (iCL) integrated systems has been pointed out as an important strategy for increasing production based on sustainable intensification of land use in Brazil. Mapping and monitoring the iCL areas would allow us to know the expansion rates and the adoption level of the integrated system, being an important instrument for public policy management. However, due to the time-space variability from integrated production systems, developing methods based on remote sensing remains a major challenge. In this sense, this work discusses the application of Big Data and machine learning concepts in Earth Observation Data as a strategy to compose a methodology for monitoring the iCL in Brazil. We tested the capacity of the Random Forest (RF) classifier applied to MODIS time series to iCL detection in the Mato Grosso State, Brazil. For this, we evaluated the classification accuracy for the years between 2012 and 2019, totaling 3,864 images processed. The overall accuracy founded was between 0.77 and 0.89 and an fscore average of 0.85 was found for the iCL class. The generated maps showed a trajectory of sustainable intensification, with the expansion of the iCL area from 1,100,000 ha in 2012/2013 to 2,597,000 ha in 2018/2019, an increase of 135%. The results indicate that the use of the RF classification technique with MODIS times series has great potential to compose an iCL monitoring methodology, requiring parallel and cloud computing applied to advanced algorithms.
650 $aSustainable agricultural intensification
650 $aAgricultura Sustentável
653 $aMachine learning
653 $aMODIS time series
700 1 $aSIMÕES, M.
700 1 $aBEGUE, A.
700 1 $aFERRAZ, R. P. D.
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Registro original: |
Embrapa Solos (CNPS) |
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Registro Completo
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Biblioteca(s): |
Embrapa Pecuária Sudeste; Embrapa Semiárido. |
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Data corrente: |
09/12/2013 |
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Data da última atualização: |
12/05/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
B - 1 |
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Autoria: |
ZAFALON, L. F.; MARTINS, K. B.; DIAS, W. A. F.; VERÍSSIMO, C. J.; ESTEVES, S. N.; VESCHI, J. L. A. |
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Afiliação: |
LUIZ FRANCISCO ZAFALON, CPPSE; KATHERYNE BENINI MARTINS, Universidade Federal do Rio Grande; WILLIAN ALEXANDRE FERREIRA DIAS, Willian Alexandre Ferreira Dias; CECÍLIA JOSÉ VERÍSSIMO, Instituto de Zootecnia; SERGIO NOVITA ESTEVES, CPPSE; JOSIR LAINE APARECIDA VESCHI, CPATSA. |
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Título: |
Efeitos da mastite subclínica infecciosa sobre o desempenho de cordeiros na raça Santa Inês. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Revista Brasileira de Medicina Veterinária, v. 35, n. 4, p. 299-305, out./dez. 2013. |
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Idioma: |
Inglês |
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Conteúdo: |
The mastitis is an inflammation of mammary gland, clinical or subclinical, with interference in the composition and quantity of milk secreted by ewe. The objectives were to assess the influence of subclinical mastitis in Santa Inês ewes, the main microorganisms involved in infectious etiology of the disease and the consequences for the somatic cell count and weight gain of lambs. Two hundred and forty ewes and 316 lambs were studied during the period of lactation and at weaning, with weightings of lambs at birth, at second lactation week and at weaning. After first identifying the animals with subclinical mastitis by California Mastitis Test, milk samples from healthy and subclinical mastitis females were obtained and subjected to laboratory testing for microbiological confirmation of the etiology of infectious disease and for somatic cell count of milk. Coagulase negative staphylococci were the most frequent microorganisms and higher somatic cell counts have been described in some of the groups of ewes with subclinical mastitis until the second week of lactation. The subclinical mastitis did not influence significantly the weight gain of lambs from Santa Inês sheep in the production systems evaluation. |
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Palavras-Chave: |
Inflamação da glândula mamária; Raça Santa Inês. |
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Thesagro: |
Doença Animal; Ganho de Peso; Leite; Ovelha; Ovino. |
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Thesaurus NAL: |
Bovine mastitis; Ewe milk; Ewes; Mastitis; Weight gain. |
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Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/93649/1/PROCI-2013.00182.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1160728/1/Efeitos-da-mastite-subclinica-infecciosa-sobre-o-desempenho-de-cordeiros-na-raca-Santa-Ines..pdf
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Marc: |
LEADER 02156naa a2200325 a 4500
001 1973169
005 2023-05-12
008 2013 bl uuuu u00u1 u #d
100 1 $aZAFALON, L. F.
245 $aEfeitos da mastite subclínica infecciosa sobre o desempenho de cordeiros na raça Santa Inês.$h[electronic resource]
260 $c2013
520 $aThe mastitis is an inflammation of mammary gland, clinical or subclinical, with interference in the composition and quantity of milk secreted by ewe. The objectives were to assess the influence of subclinical mastitis in Santa Inês ewes, the main microorganisms involved in infectious etiology of the disease and the consequences for the somatic cell count and weight gain of lambs. Two hundred and forty ewes and 316 lambs were studied during the period of lactation and at weaning, with weightings of lambs at birth, at second lactation week and at weaning. After first identifying the animals with subclinical mastitis by California Mastitis Test, milk samples from healthy and subclinical mastitis females were obtained and subjected to laboratory testing for microbiological confirmation of the etiology of infectious disease and for somatic cell count of milk. Coagulase negative staphylococci were the most frequent microorganisms and higher somatic cell counts have been described in some of the groups of ewes with subclinical mastitis until the second week of lactation. The subclinical mastitis did not influence significantly the weight gain of lambs from Santa Inês sheep in the production systems evaluation.
650 $aBovine mastitis
650 $aEwe milk
650 $aEwes
650 $aMastitis
650 $aWeight gain
650 $aDoença Animal
650 $aGanho de Peso
650 $aLeite
650 $aOvelha
650 $aOvino
653 $aInflamação da glândula mamária
653 $aRaça Santa Inês
700 1 $aMARTINS, K. B.
700 1 $aDIAS, W. A. F.
700 1 $aVERÍSSIMO, C. J.
700 1 $aESTEVES, S. N.
700 1 $aVESCHI, J. L. A.
773 $tRevista Brasileira de Medicina Veterinária$gv. 35, n. 4, p. 299-305, out./dez. 2013.
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Embrapa Pecuária Sudeste (CPPSE) |
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