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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
18/09/2020 |
Data da última atualização: |
14/12/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
REIS, A. A. dos; WERNER, J. P. S.; SILVA, B. C.; FIGUEIREDO, G. K. D. A.; ANTUNES, J. F. G.; ESQUERDO, J. C. D. M.; COUTINHO, A. C.; LAMPARELLI, R. A. C.; ROCHA, J. V.; MAGALHÃES, P. S. G. |
Afiliação: |
ALINY A. DOS REIS, Nipe, Feagri/Unicamp; JOÃO P. S. WERNER, Feagri/Unicamp; BRUNA C. SILVA, Feagri/Unicamp; GLEYCE K. D. A. FIGUEIREDO, Feagri/Unicamp; JOAO FRANCISCO GONCALVES ANTUNES, CNPTIA; JULIO CESAR DALLA MORA ESQUERDO, CNPTIA; ALEXANDRE CAMARGO COUTINHO, CNPTIA; RUBENS A. C. LAMPARELLI, Nipe/Unicamp; JANSLE V. ROCHA, Feagri/Unicamp; PAULO S. G. MAGALHÃES, Nipe/Unicamp. |
Título: |
Monitoring pasture aboveground biomass and canopy height in an integrated crop-livestock system using textural information from PlanetScope imagery. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Remote Sensing, v. 12, n. 16, p. 1-21, Aug. 2020. |
DOI: |
10.3390/rs12162534 |
Idioma: |
Inglês |
Notas: |
Article number: 2534. |
Conteúdo: |
Abstract: Fast and accurate quantification of the available pasture biomass is essential to support grazing management decisions in intensively managed fields. The increasing temporal and spatial resolutions oered by the new generation of orbital platforms, such as Planet CubeSat satellites, have improved the capability of monitoring pasture biomass using remotely sensed data. Here, we assessed the feasibility of using spectral and textural information derived from PlanetScope imagery for estimating pasture aboveground biomass (AGB) and canopy height (CH) in intensively managed fields and the potential for enhanced accuracy by applying the extreme gradient boosting (XGBoost) algorithm. Our results demonstrated that the texture measures enhanced AGB and CH estimations compared to the performance obtained using only spectral bands or vegetation indices. The best results were found by employing the XGBoost models based only on texture measures. These models achieved moderately high accuracy to predict pasture AGB and CH, explaining 65% and 89% of AGB (root mean square error (RMSE) = 26.52%) and CH (RMSE = 20.94%) variability, respectively. This study demonstrated the potential of using texture measures to improve the prediction accuracy of AGB and CH models based on high spatiotemporal resolution PlanetScope data in intensively managed mixed pastures. |
Palavras-Chave: |
Extreme gradient boosting; Floresta aleatória; Integrated systems; Mixed pastures; Pastagem tropical; Pasto; Random forest; Texture measures. |
Thesagro: |
Biomassa; Pastagem Mista; Sensoriamento Remoto. |
Thesaurus Nal: |
Aboveground biomass; Biomass; Pastures; Remote sensing; Tropical pastures. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/216114/1/AP-Monitoring-pasture-aboveground-2020.pdf
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Marc: |
LEADER 02709naa a2200445 a 4500 001 2125026 005 2021-12-14 008 2020 bl uuuu u00u1 u #d 024 7 $a10.3390/rs12162534$2DOI 100 1 $aREIS, A. A. dos 245 $aMonitoring pasture aboveground biomass and canopy height in an integrated crop-livestock system using textural information from PlanetScope imagery.$h[electronic resource] 260 $c2020 500 $aArticle number: 2534. 520 $aAbstract: Fast and accurate quantification of the available pasture biomass is essential to support grazing management decisions in intensively managed fields. The increasing temporal and spatial resolutions oered by the new generation of orbital platforms, such as Planet CubeSat satellites, have improved the capability of monitoring pasture biomass using remotely sensed data. Here, we assessed the feasibility of using spectral and textural information derived from PlanetScope imagery for estimating pasture aboveground biomass (AGB) and canopy height (CH) in intensively managed fields and the potential for enhanced accuracy by applying the extreme gradient boosting (XGBoost) algorithm. Our results demonstrated that the texture measures enhanced AGB and CH estimations compared to the performance obtained using only spectral bands or vegetation indices. The best results were found by employing the XGBoost models based only on texture measures. These models achieved moderately high accuracy to predict pasture AGB and CH, explaining 65% and 89% of AGB (root mean square error (RMSE) = 26.52%) and CH (RMSE = 20.94%) variability, respectively. This study demonstrated the potential of using texture measures to improve the prediction accuracy of AGB and CH models based on high spatiotemporal resolution PlanetScope data in intensively managed mixed pastures. 650 $aAboveground biomass 650 $aBiomass 650 $aPastures 650 $aRemote sensing 650 $aTropical pastures 650 $aBiomassa 650 $aPastagem Mista 650 $aSensoriamento Remoto 653 $aExtreme gradient boosting 653 $aFloresta aleatória 653 $aIntegrated systems 653 $aMixed pastures 653 $aPastagem tropical 653 $aPasto 653 $aRandom forest 653 $aTexture measures 700 1 $aWERNER, J. P. S. 700 1 $aSILVA, B. C. 700 1 $aFIGUEIREDO, G. K. D. A. 700 1 $aANTUNES, J. F. G. 700 1 $aESQUERDO, J. C. D. M. 700 1 $aCOUTINHO, A. C. 700 1 $aLAMPARELLI, R. A. C. 700 1 $aROCHA, J. V. 700 1 $aMAGALHÃES, P. S. G. 773 $tRemote Sensing$gv. 12, n. 16, p. 1-21, Aug. 2020.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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Registro Completo
Biblioteca(s): |
Embrapa Semiárido. |
Data corrente: |
18/02/2021 |
Data da última atualização: |
18/02/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 2 |
Autoria: |
PESSOA, D. V.; ANDRADE, A. P. de; MAGALHÃES, A. L. R.; TEODORO, A. L.; SANTOS, D. C. dos; ARAUJO, G. G. L. de; MEDEIROS, A. N. de; NASCIMENTO, D. B. do; VALENÇA, R. de L.; CARDOSO, D. B. |
Afiliação: |
Diana Valadares Pessoa; Albericio Pereira de Andrade; André Luiz Rodrigues Magalhães; Ana Lúcia Teodoro; Djalma Cordeiro dos Santos; GHERMAN GARCIA LEAL DE ARAUJO, CPATSA; Ariosvaldo Nunes de Medeiros; Daniel Bezerra do Nascimento; Roberta de Lima Valença; Daniel Barros Cardoso. |
Título: |
Forage cactus of the genus Opuntia in different with the phenological phase: nutritional value. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Journal of Arid Environments, v. 181, 2020. |
DOI: |
https://doi.org/10.1016/j.jaridenv.2020.104243 |
Idioma: |
Inglês |
Conteúdo: |
The objective of this study is to evaluate the bromatological composition, carbohydrate fractionation, in vitro digestibility and gas production of varieties of forage cactus of the genus Opuntia, associated with different phenological phases. The experiment was conducted in a completely randomized design in a 5 × 3 factorial arrangement consisting of five forage cactus varieties of the genus Opuntia ((IPA-20 (Opuntia ficus-indica Mill), Gigante (Opuntia ficus-indica Mill), Erect Prickly Pear (EPP) (Opuntia stricta Haw), African Prickly Pear (APP) (Opuntia undulata) and F-08 (Opuntia atropes Rose)). and three phenological phases (young, intermediate and mature). The concentrations of neutral detergent fiber and the C ratio of carbohydrates were lower in the Erect Prickly Pear (EPP) variety, in this same variety, a higher proportion of pectin was observed along with the giant variety and higher in vitro digestibility, with similar digestibility for the African Prickly Pear (APP) and F-08. The concentration of total carbohydrates was higher in the IPA-20 variety since the gas production adjusted by the bicompartmental model was higher for APP. Was observed in all varieties greater concentration of neutral detergent fiber and the C fraction of the carbohydrates in the mature cladodes. In vitro digestibility of mature phase was also superior in all varieties except APP. The Erect Prickly Pear and African Prickly Pear varieties present best nutritional value for feeding ruminants and mature phase is the least relevant. MenosThe objective of this study is to evaluate the bromatological composition, carbohydrate fractionation, in vitro digestibility and gas production of varieties of forage cactus of the genus Opuntia, associated with different phenological phases. The experiment was conducted in a completely randomized design in a 5 × 3 factorial arrangement consisting of five forage cactus varieties of the genus Opuntia ((IPA-20 (Opuntia ficus-indica Mill), Gigante (Opuntia ficus-indica Mill), Erect Prickly Pear (EPP) (Opuntia stricta Haw), African Prickly Pear (APP) (Opuntia undulata) and F-08 (Opuntia atropes Rose)). and three phenological phases (young, intermediate and mature). The concentrations of neutral detergent fiber and the C ratio of carbohydrates were lower in the Erect Prickly Pear (EPP) variety, in this same variety, a higher proportion of pectin was observed along with the giant variety and higher in vitro digestibility, with similar digestibility for the African Prickly Pear (APP) and F-08. The concentration of total carbohydrates was higher in the IPA-20 variety since the gas production adjusted by the bicompartmental model was higher for APP. Was observed in all varieties greater concentration of neutral detergent fiber and the C fraction of the carbohydrates in the mature cladodes. In vitro digestibility of mature phase was also superior in all varieties except APP. The Erect Prickly Pear and African Prickly Pear varieties present best nutritional value for feeding ruminants... Mostrar Tudo |
Palavras-Chave: |
Alimentação de ruminante; Composição bromatológica; Fracionamento de carboidratos; Valor nutricional. |
Thesagro: |
Bromatologia; Digestibilidade In Vitro; Fenologia; Opuntia Ficus Indica; Palma Forrageira. |
Thesaurus NAL: |
In vitro digestibility; Opuntia. |
Categoria do assunto: |
L Ciência Animal e Produtos de Origem Animal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/221293/1/Forage-cactus-of-the-genus-Opuntia-2020.pdf
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Marc: |
LEADER 02699naa a2200373 a 4500 001 2130111 005 2021-02-18 008 2020 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1016/j.jaridenv.2020.104243$2DOI 100 1 $aPESSOA, D. V. 245 $aForage cactus of the genus Opuntia in different with the phenological phase$bnutritional value.$h[electronic resource] 260 $c2020 520 $aThe objective of this study is to evaluate the bromatological composition, carbohydrate fractionation, in vitro digestibility and gas production of varieties of forage cactus of the genus Opuntia, associated with different phenological phases. The experiment was conducted in a completely randomized design in a 5 × 3 factorial arrangement consisting of five forage cactus varieties of the genus Opuntia ((IPA-20 (Opuntia ficus-indica Mill), Gigante (Opuntia ficus-indica Mill), Erect Prickly Pear (EPP) (Opuntia stricta Haw), African Prickly Pear (APP) (Opuntia undulata) and F-08 (Opuntia atropes Rose)). and three phenological phases (young, intermediate and mature). The concentrations of neutral detergent fiber and the C ratio of carbohydrates were lower in the Erect Prickly Pear (EPP) variety, in this same variety, a higher proportion of pectin was observed along with the giant variety and higher in vitro digestibility, with similar digestibility for the African Prickly Pear (APP) and F-08. The concentration of total carbohydrates was higher in the IPA-20 variety since the gas production adjusted by the bicompartmental model was higher for APP. Was observed in all varieties greater concentration of neutral detergent fiber and the C fraction of the carbohydrates in the mature cladodes. In vitro digestibility of mature phase was also superior in all varieties except APP. The Erect Prickly Pear and African Prickly Pear varieties present best nutritional value for feeding ruminants and mature phase is the least relevant. 650 $aIn vitro digestibility 650 $aOpuntia 650 $aBromatologia 650 $aDigestibilidade In Vitro 650 $aFenologia 650 $aOpuntia Ficus Indica 650 $aPalma Forrageira 653 $aAlimentação de ruminante 653 $aComposição bromatológica 653 $aFracionamento de carboidratos 653 $aValor nutricional 700 1 $aANDRADE, A. P. de 700 1 $aMAGALHÃES, A. L. R. 700 1 $aTEODORO, A. L. 700 1 $aSANTOS, D. C. dos 700 1 $aARAUJO, G. G. L. de 700 1 $aMEDEIROS, A. N. de 700 1 $aNASCIMENTO, D. B. do 700 1 $aVALENÇA, R. de L. 700 1 $aCARDOSO, D. B. 773 $tJournal of Arid Environments$gv. 181, 2020.
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