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Biblioteca(s):  Embrapa Agricultura Digital.
Data corrente:  20/12/2017
Data da última atualização:  12/02/2020
Tipo da produção científica:  Artigo em Periódico Indexado
Autoria:  TOMÀS, J. C.; FARIA, F. A.; ESQUERDO, J. C. D. M.; COUTINHO, A. C.; MEDEIROS, C. B.
Afiliação:  JORDI CREUS TOMÀS, IC/Unicamp; FABIO AUGUSTO FARIA, Federal University of São Paulo, São José dos Campos; JULIO CESAR DALLA MORA ESQUERDO, CNPTIA; ALEXANDRE CAMARGO COUTINHO, CNPTIA; CLAUDIA BAUZER MEDEIROS, IC/Unicamp.
Título:  SiRCub: a novel approach to recognize agricultural crops using supervised classification.
Ano de publicação:  2017
Fonte/Imprenta:  International Journal of Agricultural and Environmental Information Systems, v. 8, n. 4, p. 20-36, Oct./Dec. 2017.
DOI:  10.4018/IJAEIS.2017100102
Idioma:  Inglês
Notas:  Publicado também em: INFORMATION RESOURCES MANAGEMENT ASSOCIATION (Ed.). Environmental information systems: concepts, methodologies, tools, and applications. Hershey: IGI Global, 2019. v. II, chap. 50, p. 1129-1147. DOI: 10.4018/978-1-5225-7033-2.ch050.
Conteúdo:  This paper presents a new approach to deal with agricultural crop recognition using SVM (Support Vector Machine), applied to time series of NDVI images. The presented method can be divided into two steps. First, the Timesat software package is used to extract a set of crop features from the NDVI time series. These features serve as descriptors that characterize each NDVI vegetation curve, i.e., the period comprised between sowing and harvesting dates. Then, it is used an SVM to learn the patterns that define each type of crop, and create a crop model that allows classifying new series. The authors present a set of experiments that show the effectiveness of this technique. They evaluated their algorithm with a collection of more than 3000 time series from the Brazilian State of Mato Grosso spanning 4 years (2009-2013). Such time series were annotated in the field by specialists from Embrapa (Brazilian Agricultural Research Corporation). This methodology is generic, and can be adapted to distinct regions and crop profiles.
Palavras-Chave:  Aprendizado de máquina; Crop classification; Enhanced Vegetation Index; Índice de vegetação; LULC; Machine Learning; Séries temporais; SIRCub; Support Vector Machine.
Thesagro:  Sensoriamento remoto; Uso da terra.
Thesaurus Nal:  Artificial intelligence; Land cover; Land use; normalized difference vegetation index; Remote sensing; Time series analysis; Vegetation index.
Categoria do assunto:  X Pesquisa, Tecnologia e Engenharia
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Agricultura Digital (CNPTIA)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status URL
CNPTIA19538 - 1UPCAP - DD
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Biblioteca(s):  Embrapa Instrumentação.
Data corrente:  15/12/2021
Data da última atualização:  15/12/2021
Tipo da produção científica:  Artigo em Periódico Indexado
Circulação/Nível:  B - 1
Autoria:  MIRANDA, M.; SUN, X.; ASSIS, O. B. G. de; FERENCE, C.; FERREIRA, M. D.; BALDWIN, E. A.
Afiliação:  M. MIRANDA, UNESP; X. SUN, USDA; ODILIO BENEDITO GARRIDO DE ASSIS, CNPDIA; C. FERENCE, USDA; MARCOS DAVID FERREIRA, CNPDIA; E. A. BALDWIN, USDA.
Título:  Antifungal activity of Zingiber officinale Roscoe (ginger) oil and extracts, associated with carnauba wax nanoemulsions, on fungal control of harvest papaya.
Ano de publicação:  2021
Fonte/Imprenta:  ISHS Acta Horticulturae, v. 1325, p. 191-198, 2021.
DOI:  10.17660/ActaHortic.2021.1325.28
Idioma:  Inglês
Notas:  V International Symposium on Postharvest Pathology: From Consumer to Laboratory-Sustainable Approaches to Managing Postharvest Pathogens.
Conteúdo:  ABSTRACT: Essential oils and plant extracts can be safe alternatives for reducing post-harvest decay in foods compared to synthetic preservatives. Ginger oil (GO) and ethanolic extracts (GE) has been in vitro studied. Antifungal activity associated with fruit coatings on papaya has not been exhaustively investigated until now. In this study, the antifungal activity of GOs and GEs to control Colletotrichum gloeosporioides was investigated. In vitro results showed that GO has higher activity compared to GE, significantly reducing mycelial growth. The measured minimum inhibitory concentration (MIC) of GOs and GE were 0.1 to 0.8% (v/v) and 2.5 to 5%, respectively. Petri dishes inoculated with C. gloeosporioides were coated with carnauba wax nanoemulsion (CWN), GO nanoemulsion (at 3 and 6%), and their combination. Results showed that after 24h plates treated with 3 or 6% of GO, and CWN exhibited significant inhibition of the mycelial zone (MZI). The combination of CWN coating and GO was more effective than GO alone. CWN coatings resulted in significantly higher MZI alone or when associated with GO, compared to GO itself or control-water. After 7 days, plates treated with GO resulted in the same MZI as control, and CWN demonstrated inhibition against C. gloeosporioides. In vivo tests on ?Redland? papayas coated with CWN showed effective control upon fungal growth. The lowest values of fungal disease severity occurred when CWN was associated with GO (at 3 and 6% v/v). By comparing ... Mostrar Tudo
Palavras-Chave:  Carnauba wax nanoemulsion; Edible coatings; Ethanolic extracts; Papaya decay.
Thesagro:  Colletotrichum Gloeosporioides.
Categoria do assunto:  --
URL:  https://ainfo.cnptia.embrapa.br/digital/bitstream/item/229244/1/ACTA-Antifungal-Zingiber-Miranda.pdf
Marc:  Mostrar Marc Completo
Registro original:  Embrapa Instrumentação (CNPDIA)
Biblioteca ID Origem Tipo/Formato Classificação Cutter Registro Volume Status
CNPDIA17916 - 1UPCAP - DDPROCI.21/1592021.163
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