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Registro Completo |
Biblioteca(s): |
Embrapa Pesca e Aquicultura. |
Data corrente: |
27/01/2024 |
Data da última atualização: |
30/01/2024 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
CARNEIRO, B. M.; CARVALHO JÚNIOR, O. A. de; CARVALHO, O. L. F. de; ALBUQUERQUE, A. O. de; CASTRO FILHO, H. C. de; RODRIGUES, V. S.; LIMA, A. M.; ANTONY, D. S.; EVANGELISTA, B. A.; OLIVEIRA, M. C. de; PINTO, C. B. |
Afiliação: |
BRUNO MACHADO CARNEIRO, INSTITUTO FEDERAL DO TOCANTINS; OSMAR ABÍLIO DE CARVALHO JÚNIOR, UNB; OSMAR LUIZ FERREIRA DE CARVALHO, UNB; ANESMAR OLINO DE ALBUQUERQUE, UNB; HUGO CRISÓSTOMO DE CASTRO FILHO, UNB; VIVIANE SOARES RODRIGUES, UNB; ALINE MARCIMIANO LIMA, UNB; DORA SILVA ANTONY, UNB; BALBINO ANTONIO EVANGELISTA, CNPASA; MARLEY CAMILO DE OLIVEIRA, ADAPEC; CLEOVAN BARBOSA PINTO, ADAPEC. |
Título: |
Feasibility analysis of using Sentinel-1 images to phenologically differentiate the areas of soybean seed and sub-irrigated bean planting in the period of sanitary void in the tropical floodplains of the Formoso River basin, Tocantins, Brazil. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
In: REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY, 25., 2023, Amsterdam. Proceedings... Amsterdam: SPIE, 2023. |
Série: |
(SPIE proceedings, v. 12727). |
DOI: |
https://doi.org/10.1117/12.2680328 |
Idioma: |
Inglês |
Conteúdo: |
Food production is one of the significant challenges for the world's population. Countries like Brazil, with a vast territorial dimension and good availability of resources, stand out in the production of grains, especially soy. Soy cultivation requires care and management to ensure phytosanitary production and reduce the risk of diseases such as Asian Soybean Rust (ASR) caused by the fungus Phakopsora pachyrhizi. In Brazil, soy cultivation occurs in the spring/summer (September/March), with greater solar energy and rainfall in the country. Brazil has established a fallow period to reduce the risk of ASR, which prohibits planting outside the agricultural calendar. However, there is the possibility of authorizing planting in the floodplains of the tropical plains of the Formoso River basin, Tocantins, Brazil. The government of the State of Tocantins created the State Program for the Control of ASR, authorizing the planting of soybeans during the dry season (April to September) through registration and monitoring of areas. However, other plantings, such as beans, with a shorter cycle and less water demand, also occur. This study aims to monitor the soybean crop development phases considering data collected in the field by the Agricultural Defense Agency (ADAPEC) and digital processing using deep-learning techniques of Sentinel-1 image time series. The phenological differences of cultivation farms enabled agricultural mapping and the fight against ASR. The digital processing steps of the Sentinel-1 time series dataset (10 m resolution) consisted of image pre- processing using Sentinel Application Platform (SNAP); time series filtering using Savitzky-Golay; evaluation of deep learning methods (Long Short-Term Memory - LSTM, Bidirectional LSTM - Bi-LSTM, Gated Recurrent Unit - GRU, and Bidirectional GRU - Bi-GRU); and accuracy analysis. However, the classification has some erroneous portions that can be improved by increasing the number of classes and samples in future works. MenosFood production is one of the significant challenges for the world's population. Countries like Brazil, with a vast territorial dimension and good availability of resources, stand out in the production of grains, especially soy. Soy cultivation requires care and management to ensure phytosanitary production and reduce the risk of diseases such as Asian Soybean Rust (ASR) caused by the fungus Phakopsora pachyrhizi. In Brazil, soy cultivation occurs in the spring/summer (September/March), with greater solar energy and rainfall in the country. Brazil has established a fallow period to reduce the risk of ASR, which prohibits planting outside the agricultural calendar. However, there is the possibility of authorizing planting in the floodplains of the tropical plains of the Formoso River basin, Tocantins, Brazil. The government of the State of Tocantins created the State Program for the Control of ASR, authorizing the planting of soybeans during the dry season (April to September) through registration and monitoring of areas. However, other plantings, such as beans, with a shorter cycle and less water demand, also occur. This study aims to monitor the soybean crop development phases considering data collected in the field by the Agricultural Defense Agency (ADAPEC) and digital processing using deep-learning techniques of Sentinel-1 image time series. The phenological differences of cultivation farms enabled agricultural mapping and the fight against ASR. The digital processing st... Mostrar Tudo |
Palavras-Chave: |
Deep learning; Formoso river basin; Machine learning; Plant phenotyping; Sentinel; Tocantins. |
Thesagro: |
Fenologia; Semente; Soja. |
Thesaurus Nal: |
Digital images; Monitoring; Phakopsora. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 03387nam a2200397 a 4500 001 2161406 005 2024-01-30 008 2023 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1117/12.2680328$2DOI 100 1 $aCARNEIRO, B. M. 245 $aFeasibility analysis of using Sentinel-1 images to phenologically differentiate the areas of soybean seed and sub-irrigated bean planting in the period of sanitary void in the tropical floodplains of the Formoso River basin, Tocantins, Brazil.$h[electronic resource] 260 $aIn: REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY, 25., 2023, Amsterdam. Proceedings... Amsterdam: SPIE$c2023 490 $a(SPIE proceedings, v. 12727). 520 $aFood production is one of the significant challenges for the world's population. Countries like Brazil, with a vast territorial dimension and good availability of resources, stand out in the production of grains, especially soy. Soy cultivation requires care and management to ensure phytosanitary production and reduce the risk of diseases such as Asian Soybean Rust (ASR) caused by the fungus Phakopsora pachyrhizi. In Brazil, soy cultivation occurs in the spring/summer (September/March), with greater solar energy and rainfall in the country. Brazil has established a fallow period to reduce the risk of ASR, which prohibits planting outside the agricultural calendar. However, there is the possibility of authorizing planting in the floodplains of the tropical plains of the Formoso River basin, Tocantins, Brazil. The government of the State of Tocantins created the State Program for the Control of ASR, authorizing the planting of soybeans during the dry season (April to September) through registration and monitoring of areas. However, other plantings, such as beans, with a shorter cycle and less water demand, also occur. This study aims to monitor the soybean crop development phases considering data collected in the field by the Agricultural Defense Agency (ADAPEC) and digital processing using deep-learning techniques of Sentinel-1 image time series. The phenological differences of cultivation farms enabled agricultural mapping and the fight against ASR. The digital processing steps of the Sentinel-1 time series dataset (10 m resolution) consisted of image pre- processing using Sentinel Application Platform (SNAP); time series filtering using Savitzky-Golay; evaluation of deep learning methods (Long Short-Term Memory - LSTM, Bidirectional LSTM - Bi-LSTM, Gated Recurrent Unit - GRU, and Bidirectional GRU - Bi-GRU); and accuracy analysis. However, the classification has some erroneous portions that can be improved by increasing the number of classes and samples in future works. 650 $aDigital images 650 $aMonitoring 650 $aPhakopsora 650 $aFenologia 650 $aSemente 650 $aSoja 653 $aDeep learning 653 $aFormoso river basin 653 $aMachine learning 653 $aPlant phenotyping 653 $aSentinel 653 $aTocantins 700 1 $aCARVALHO JÚNIOR, O. A. de 700 1 $aCARVALHO, O. L. F. de 700 1 $aALBUQUERQUE, A. O. de 700 1 $aCASTRO FILHO, H. C. de 700 1 $aRODRIGUES, V. S. 700 1 $aLIMA, A. M. 700 1 $aANTONY, D. S. 700 1 $aEVANGELISTA, B. A. 700 1 $aOLIVEIRA, M. C. de 700 1 $aPINTO, C. B.
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1. | | CARNEIRO, B. M.; CARVALHO JÚNIOR, O. A. de; CARVALHO, O. L. F. de; ALBUQUERQUE, A. O. de; CASTRO FILHO, H. C. de; RODRIGUES, V. S.; LIMA, A. M.; ANTONY, D. S.; EVANGELISTA, B. A.; OLIVEIRA, M. C. de; PINTO, C. B. Feasibility analysis of using Sentinel-1 images to phenologically differentiate the areas of soybean seed and sub-irrigated bean planting in the period of sanitary void in the tropical floodplains of the Formoso River basin, Tocantins, Brazil. In: REMOTE SENSING FOR AGRICULTURE, ECOSYSTEMS, AND HYDROLOGY, 25., 2023, Amsterdam. Proceedings... Amsterdam: SPIE, 2023. (SPIE proceedings, v. 12727).Tipo: Artigo em Anais de Congresso |
Biblioteca(s): Embrapa Pesca e Aquicultura. |
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