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3D data acquisition on nelore cattle. Repositório Alice
KAMCHEN, S. G.; SANTOS, E. F. dos; VENDRUSCULO, L. G.; LOPES, L. B.; CONDOTTA, I. C. F. S..
The objective of this study was to evaluate the feasibility of acquiring 3D data on female Nellore cattle on a Savanna-Amazon ecotone.
Tipo: Anais e Proceedings de eventos Palavras-chave: Sistemas computacionais; Processamento de dados; Processamento de imagens; RealSense; Dados 3D; Image processing; Gado Nelore; Image analysis.
Ano: 2019 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1117190
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3DMCAP documentation: release 1.0. Infoteca-e
SANTOS, T. T..
This document is the user manual of a tool, 3DMCAP, developed by our Automation Group for photogrammetry using a single camera and a notebook computer. Our staff was able to use it to recover the three-dimensional structure of plants in greenhouses and in open fields, including vines, coffee trees, maize, sunflower, soybean eucalyptus trunks.
Tipo: Documentos (INFOTECA-E) Palavras-chave: Manual do usuário; Ferramenta 3DMCAP; Imagem digital; Visão computacional; Fotogrametria; Photogrammetry; Digital images; Image analysis; Computer vision.
Ano: 2018 URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/1102027
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4領域に分割された牛ロース芯の画像解析形質に関する品種間比較 OAK
村澤, 七月; 中橋, 良信; 浜崎, 陽子; 堀, 武; 加藤, 貴之; 口田, 圭吾; Murasawa, Nazuki; Nakahashi, Yoshinobu; Hori, Takeshi; Kato, Takayuki; Kuchida, Keigo.
Palavras-chave: Image analysis; Marbling arrangement; Quadrant; Rib eye.
Ano: 2009 URL: http://ir.obihiro.ac.jp/dspace/handle/10322/2448
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A NOVEL RAISIN SEGMENTATION ALGORITHM BASED ON DEEP LEARNING AND MORPHOLOGICAL ANALYSIS REA
Zhao,Yun; Guindo,Mahamed L.; Xu,Xing; Shi,Xiang; Sun,Miao; He,Yong.
ABSTRACT We propose a segmentation algorithm for raisin extraction. The proposed approach consists of the following aspects. Deep learning is used to predict the number of raisins in each connected region, and the shape features such as the roundness, area, X-axis value for the centroid, Y-axis value for the centroid, axis length and perimeter of each region will be used to establish the prediction model. Morphological analysis, based on edge parameters including the polar axis, polar angle and angular velocity, is applied to search for the suitable break points that are useful for identifying the dividing lines between two adjacent raisins. To make our segmentation more accurate, some machine-learning algorithms such as the random forest (RF), support...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Raisin extraction; Segmentation algorithm; Deep learning; Image analysis; Food quality grading.
Ano: 2019 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162019000500639
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A short review: Comparisons of high-throughput phenotyping methods for detecting drought tolerance Scientia Agricola
Kim,Jaeyoung; Kim,Ki-Seung; Kim,Yoonha; Chung,Yong Suk.
ABSTRACT Drought is a major threat worldwide for crop production, especially due to the rapid climate changes. Current drought solutions involve improving irrigation system, rainwater harvesting, damming, cloud seeding, and changes of cultivation methods. Despite effective, each solution has economic, environmental, and temporal drawbacks. Among all solutions, the most effective, inexpensive and manageable method is the use of drought-tolerant cultivars via plant breeding. However, conventional plant breeding is a time-consuming and laborious task, especially for phenotypic data acquisition of target traits of numerous progenies. High-throughput phenotyping (HTP) is a recently developed method and has potential to overcome the mentioned issues. HTP offers...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Sensors; Remote sensing platforms; Image analysis; Drought solution; Plant breeding.
Ano: 2021 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162021000401801
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Age estimation in common sole Solea solea larvae: validation of daily increments and evaluation of a pattern recognition technique ArchiMer
Lagardere, Françoise; Troadec, Herve.
Close similarities have been found between the otoliths of sea-caught and laboratory-reared larvae of the common sole Solea solea (L.), given appropriate temperatures and nourishment of the latter. But from hatching to mouth formation. and during metamorphosis, sole otoliths have proven difficult to read because the increments may be less regular and low contrast. In this study, the growth increments in otoliths of larvae reared at 12 degrees C were counted by light microscopy to test the hypothesis of daily deposition, with some results verified using scanning electron microscopy (SEM), and by image analysis in order to compare the reliability of the 2 methods in age estimation. Age was first estimated (in days posthatch) from light micrographs of whole...
Tipo: Text Palavras-chave: Larval sole; Solea solea; Otolith; Daily increment; Validation; Image analysis.
Ano: 1997 URL: http://archimer.ifremer.fr/doc/00337/44785/44488.pdf
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Análise automatizada de imagens de plântulas para avaliação do vigor de sementes de soja após o teste de envelhecimento acelerado. Repositório Alice
GLÓRIA DE FREITAS ROCHA RIBEIRO; CARMO FILHO, A. dos S.; ALVES, R. M.; FRANÇA-NETO, J. B.; MARCOS FILHO, J.; GOMES JUNIOR, F. G..
Tipo: Parte de livro Palavras-chave: Soja; Teste de Vigor; Vigor Hibrido; Automação; Plântula; Digital images; Image analysis; Soybeans; Grain quality.
Ano: 2022 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1151888
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Analysis of trophic responses in lesioned brain: focus on basic fibroblast growth factor mechanisms BJMBR
Chadi,G.; Fuxe,K..
The actions of fibroblast growth factors (FGFs), particularly the basic form (bFGF), have been described in a large number of cells and include mitogenicity, angiogenicity and wound repair. The present review discusses the presence of the bFGF protein and messenger RNA as well as the presence of the FGF receptor messenger RNA in the rodent brain by means of semiquantitative radioactive in situ hybridization in combination with immunohistochemistry. Chemical and mechanical injuries to the brain trigger a reduction in neurotransmitter synthesis and neuronal death which are accompanied by astroglial reaction. The altered synthesis of bFGF following brain lesions or stimulation was analyzed. Lesions of the central nervous system trigger bFGF gene expression by...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Radioautography; In situ hybridization; Basic fibroblast growth factor; FGF receptor; Astrocyte; Image analysis; Central nervous system; Brain lesion.
Ano: 1998 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-879X1998000200007
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Annotated plant pathology databases for image-based detection and recognition of diseases. Repositório Alice
BARBEDO, J. G. A.; KOENIGKAN, L. V.; HALFELD-VIEIRA, B. de A.; COSTA, R. V. da; NECHET, K. de L.; GODOY, C. V.; LOBO JUNIOR, M.; PATRÍCIO, F. R. A.; TALAMINI, V.; CHITARRA, L. G.; OLIVEIRA, S. A. S. de; ISHIDA, A. K. N.; FERNANDES, J. M. C.; SANTOS, T. T.; CAVALCANTI, F. R.; TERAO, D.; ANGELOTTI, F..
Over the last few years, considerable effort has been spent by Embrapa in the construction of a plant disease database representative enough for the development of effective methods for automatic plant disease detection and recognition. In October of 2016, this database, called PDDB, had 2326 images of 171 diseases and other disorders affecting 21 plant species. PDDB size, although considerable, is not enough to allow the use of powerful techniques such as deep learning. In order to increase its size, each image was subdivided according to certain criteria, increasing the number of images to 46,513. Both the original (PDDB) and subdivided (XDB)databases are now being made freely available for academic research purposes, thus supporting new studies and...
Tipo: Artigo de periódico Palavras-chave: Patologia vegetal; Banco de dados; Aprendizagem profunda; Processamento de imagem; Deep learning; Doença de Planta; Plant pathology; Plant diseases and disorders; Databases; Image analysis.
Ano: 2018 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1094883
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Aplicação de imagens hiperespectrais na detecção de fungos e na predição de micotoxinas em grãos de trigo. Infoteca-e
BARBEDO, J. G. A.; TIBOLA, C. S.; LIMA, M. I. P. M..
Estado da arte da detecção de doenças e micotoxinas em grãos de trigo utilizando imagens hiperespectrais. Métodos rápidos para detecção de giberela e predição do nível de DON. Discussão, tendências e perspectivas. Conclusões.
Tipo: Capítulo em livro técnico (INFOTECA-E) Palavras-chave: Espectroscopia de infravermelho próximo; Deoxinivalenol; Doenças em trigo; Detecção de giberela; Processamento de imagem; Imagens hiperespectrais; Image processing; Trigo; Micotoxina; Doença de Planta; Near-infrared spectroscopy; Wheat; Mycotoxins; Image analysis; Plant diseases and disorders.
Ano: 2018 URL: http://www.infoteca.cnptia.embrapa.br/infoteca/handle/doc/1110202
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Aplicativo para captura de imagens de doenças em plantas. Repositório Alice
SANTOS, V. A.; BARBEDO, J. G. A..
RESUMO - O uso de detecção automática de doenças em plantações é promissor, mas para que cresça e seja mais eficiente é fundamental um grande volume de imagens de referência. Tentando resolver o problema da escassez desse tipo de imagens, a equipe composta por alunos do Instituto Federal de São Paulo (IFSP/Campinas) venceu o hackathon organizado pela Embrapa Informática Agropecuária. A ideia consiste de um aplicativo para smartphones em que o agricultor possa colaborar com fotos de plantas com sintomas de doenças, principalmente folhas, e tenha em troca um diagnóstico. Esse trabalho visa continuar o projeto de desenvolvimento do aplicativo em parceria com o IFSP/Campinas
Tipo: Anais e Proceedings de eventos Palavras-chave: Aplicação mobile; Compartilhamento de imagens; Hackathon; Mobile application; Image sharing; Doença de planta; Plant diseases and disorders; Image analysis.
Ano: 2017 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1077533
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Application of a digital pattern recognition system to Dinophysis acuminata and D-sacculus complexes ArchiMer
Truquet, Philippe; Lassus, Patrick; Honsell, Giorgio; Le Dean, Loic.
An image discrimination technique was developed to improve specific identification of some toxic Dinophysis cells (marine dinoflagellates involved in diarrhoeic shellfish poisoning), especially the ''acuminata'' and ''sacculus'' groups, which can be present at different ratios in natural sea-water samples collected during toxic episodes. This work was performed with image analysis software SAMBA (TITN Alcatel) using preserved cells directly observed through an inverted microscope and recorded with a video camera before further processing. All morphometric parameters used for discrimination of 7 different species or morphotypes of Dinophysis were tested with discriminant analysis. This study indicates that Dinophysis sp. and D. pavillardi seem well...
Tipo: Text Palavras-chave: Dinophysis sp.; Analyse d'image; Taxonomie; Phytoplancton; Dinophysis sp; Image analysis; Taxonomy; Phytoplankton.
Ano: 1996 URL: http://archimer.ifremer.fr/doc/00188/29890/28337.pdf
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Applications of image analysis in the characterization of Streptomyces olindensis in submerged culture BJM
Pamboukian,Celso R. Denser; Guimarães,Luciana M.; Facciotti,Maria Cândida R..
The morphology of Streptomyces olindensis (producer of retamycin, an antitumor antibiotic) grown in submerged culture was assessed by image analysis. The morphology was differentiated into four classes: pellets, clumps (or entangled filaments), branched and unbranched free filaments. Four morphological parameters were initially considered (area, convex area, perimeter, and convex perimeter) but only two parameters (perimeter and convex perimeter) were chosen to automatically classify the cells into the four morphological classes, using histogram analysis. Each morphological class was evaluated during growth carried out in liquid media in fermenter or shaker. It was found that pellets and clumps dominated in early growth stages in fermenter (due to the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Streptomyces olindensis; Image analysis; Morphology.
Ano: 2002 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1517-83822002000100003
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Aspectos introdutórios de um modelo baseado no indivíduo para estudo da dinâmica espacial do HLB do citros. Repositório Alice
SERVIDONE, G.; TERNES, S.; VILAMIU, R.; LARANJEIRA, F. F..
RESUMO - O Huanglongbing (HLB) é uma doença incurável que afeta plantas de citros em todo o país. Como o Brasil é um dos maiores produtores de citros do mundo, essa doença pode causar um grande impacto econômico na agricultura brasileira. Visando contribuir para novas estratégias de controle da doença, estão sendo realizados estudos focados na modelagem baseada no indivíduo (MBI) para avaliar a propagação espaço-temporal da doença em áreas de plantio com a presença de um novo hospedeiro alternativo mais atrativo. Este trabalho tem como objetivo desenvolver a estrutura computacional de um MBI, utilizando o software R e o pacote Shiny que possibilita executar as simulações via web, a partir de premissas e estudos biológicos prévios da doença. As simulações...
Tipo: Anais e Proceedings de eventos Palavras-chave: Modelagem baseada no indivíduo; Huanglongbing; Software R; R Shiny; Image recognition; Coffee production; Greening disease; Citrus; Artificial intelligence; Image analysis.
Ano: 2016 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1055877
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Assessment of broiler surface temperature variation when exposed to different air temperatures Rev. Bras. Ciênc. Avic.
Nascimento,GR; Nääs,IA; Pereira,DF; Baracho,MS; Garcia,R.
This study was conducted to determine the effect of the air temperature variation on the mean surface temperature (MST) of 7- to 35-day-old broiler chickens using infrared thermometry to estimate MST, and to study surface temperature variation of the wings, head, legs, back and comb as affected by air temperature and broiler age. One hundred Cobb® broilers were used in the experiment. Starting on day 7, 10 birds were weekly selected at random, housed in an environmental chamber and reared under three distinct temperatures (18, 25 and 32 ºC) to record their thermal profile using an infrared thermal camera. The recorded images were processed to estimate MST by selecting the whole area of the bird within the picture and comparing it with the values obtained...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Image analysis; Poultry; Thermal comfort.
Ano: 2011 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-635X2011000400007
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Automated image analysis of seedlings for vigor evaluation of common bean seeds Agronomy
Gomes Junior, Francisco Guilhien; Universidade de São Paulo; Chamma, Helena Maria Carmignani Pescarin; Universidade de São Paulo; Cicero, Silvio Moure; Universidade de São Paulo.
Quickly and precise evaluations of the vigor of seeds are highly desirable for the success of quality control programs applied to the seed industry. The objective of this experiment was to determine the number of days necessary to calculate the vigor index of common bean seeds using an automated system of seedling images (SVIS®), and compare its results with the traditional tests of seed vigor. Samples of five seed lots of the IAC Carioca cultivar were submitted to germination, accelerated aging, seedling emergence in sand and electrical conductivity tests. The parameters measured by the Seed Vigor Imaging System (SVIS®) were mean seedling length, growth (ratio of the actual seedling growth to the maximum possible growth), uniformity of growth and the...
Tipo: Info:eu-repo/semantics/article Palavras-chave: Phaseolus vulgaris L.; Image analysis; Quality control.
Ano: 2014 URL: http://periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/21957
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Automatic classification of soybean diseases based on digital images of leaf symptoms. Repositório Alice
BARBEDO, J. G. A.; GODOY, C. V..
This paper presents an algorithm for automatic classification of diseases that produce symptons in soybean leaves.
Tipo: Anais e Proceedings de eventos Palavras-chave: Imagem digital; Processamento de imagens digitais; Classificação de doenças; Folhas de soja; Transformação de cor; Disease classification; Soybean leaves; Color transformation; Doença de planta; Digital images; Image analysis; Soybeans; Plant diseases and disorders.
Ano: 2015 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1027254
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Automatic image-based detection and recognition of plant diseases - a critical view. Repositório Alice
BARBEDO, J. G. A..
This paper presents a critical analysis of the current state and future perspectives for the use of digital images applied to plant pathology. The differences between the processes of automatic detection and recognition of diseases in plants are presented, with emphasis on the respective current challenges and difficulties. Some of the limitations intrinsic to the use of digital images for detection and recognition of diseases are discussed. Because some of those limitations are mostly inevitable, they may require the use of ancillary data, which may not always be obtained automatically. As a result, depending on the application, the development of completely automatic diagnosis methods may be unfeasible. Thus, the main objective of this paper is to show...
Tipo: Anais e Proceedings de eventos Palavras-chave: Processamento de imagem; Diagnóstico de doenças; Fitopatologia.; Image analysis; Disease diagnosis; Plant pathology.
Ano: 2017 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1083285
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Avaliação da expansão da agricultura anual no Estado do Mato Grosso a partir de imagens multitemporais de NDVI/MODIS. Repositório Alice
PINTO, D. X.; ESQUERDO, J. C. D. M.; COUTINHO, A. C..
Uma das atividades conduzidas no projeto Metodologia para Mapeamento da Agricultura Brasileira (Mapagri), executado pela Embrapa Informática Agropecuária em parceria com diversas instituições de ensino e pesquisa no Brasil, é a geração de metodologias para a elaboração das chamadas "máscaras de agricultura", ou mapas com a localização geográfica das culturas agrícolas anuais no território nacional. Neste projeto estão em desenvolvimento metodologias mais eficazes, menos subjetivas e de rápida execução para a geração desses mapas a partir da abordagem espectro-temporal, que considera o padrão espectral observado ao longo do ciclo produtivo. Assim, um método baseado no comportamento temporal do índice de vegetação Normalized Difference Vegetation Index...
Tipo: Anais e Proceedings de eventos Palavras-chave: Projeto Mapagri; Índice de vegetação NDVI; Processamento de imagens; Image analysis.
Ano: 2012 URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/954536
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Biological characteristics of a hydrothermal edifice mosaic community ArchiMer
Sarrazin, Jozee; Juniper, Sk.
This study defines the composition and biomass characteristics of 5 of 6 previously described faunal assemblages that form a mosaic community on hydrothermal sulfide edifices of the Juan de Fuca Ridge (northeast Pacific). Quantitative samples of each assemblage were acquired during 'ROPOS' Remote Operated Vehicle (ROV) dive programs in 1994 and 1996. Total abundance, and species richness, as well as wet and dry weights, were calculated for each assemblage, and sampled surface area was measured directly or from scaled images of sample scars. These data were used to compare species composition, richness and biomass of the distinct assemblages and to estimate total biomass of a sulfide edifice. In addition to major compositional differences, we observed an...
Tipo: Text Palavras-chave: Vent ecology; Biomass; Faunal succession; Sulfide edifice; Assemblage characteristics; Image analysis; Juan de Fuca Ridge; Ecological model; Marine ecosystem biomass.
Ano: 1999 URL: http://archimer.ifremer.fr/doc/00280/39114/37667.pdf
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