Nutritional evaluation of Brachiaria brizantha cv. marandu using convolutional neural networks

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dc.contributor.authorDAL PRÁ, BRUNO R.pt_BR
dc.contributor.authorMESQUITA, ROBERTO N. dept_BR
dc.contributor.authorMENEZES, MARIO O. dept_BR
dc.contributor.authorANDRADE, DELVONEI A. dept_BR
dc.coverageInternacionalpt_BR
dc.date.accessioned2021-02-23T14:39:54Z
dc.date.available2021-02-23T14:39:54Z
dc.date.issued2020pt_BR
dc.description.abstractThe identification of plant nutritional stress based on visual symptoms is predominantly done manually and is performed by trained specialists to identify such anomalies. In addition, this process tends to be very time consuming, has a variability between crop areas and is often required for analysis at various points of the property. This work proposes an image recognition system that analyzes the nutritional status of the plant to help solve these problems. The methodology uses deep learning that automates the process of identifying and classifying nutritional stress of Brachiaria brizantha cv. marandu. An image recognition system was built and analyzes the nutritional status of the plant using the digital images of its leaves. The system identifies and classifies Nitrogen and Potassium deficiencies. Upon receiving the image of the pasture leaf, after a classification performed by a convolutional neural network (CNN), the system presents the result of the diagnosed nutritional status. Tests performed to identify the nutritional status of the leaves presented an accuracy of 96%. We are working to expand the data of the image database to obtain an increase in the accuracy levels, aiming at the training with a larger amount of information presented to CNN and, thus, obtaining results that are more expressive.pt_BR
dc.format.extent85-96pt_BR
dc.identifier.citationDAL PRÁ, BRUNO R.; MESQUITA, ROBERTO N. de; MENEZES, MARIO O. de; ANDRADE, DELVONEI A. de. Nutritional evaluation of Brachiaria brizantha cv. marandu using convolutional neural networks. <b>Inteligencia Artificial</b>, v. 23, n. 66, p. 85-96, 2020. DOI: <a href="https://dx.doi.org/10.4114/intartif.vol23iss66pp85-96">10.4114/intartif.vol23iss66pp85-96</a>. Disponível em: http://repositorio.ipen.br/handle/123456789/31794.
dc.identifier.doi10.4114/intartif.vol23iss66pp85-96pt_BR
dc.identifier.fasciculo66pt_BR
dc.identifier.issn1137-3601pt_BR
dc.identifier.orcid0000-0002-6689-3011pt_BR
dc.identifier.orcid0000-0003-0263-3541pt_BR
dc.identifier.orcid0000-0002-5355-0925pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0002-6689-3011
dc.identifier.orcidhttps://orcid.org/0000-0003-0263-3541
dc.identifier.orcidhttps://orcid.org/0000-0002-5355-0925
dc.identifier.percentilfiSem Percentilpt_BR
dc.identifier.percentilfiCiteScore10.00
dc.identifier.urihttp://repositorio.ipen.br/handle/123456789/31794
dc.identifier.vol23pt_BR
dc.relation.ispartofInteligencia Artificialpt_BR
dc.rightsopenAccesspt_BR
dc.subjectplants
dc.subjectnutrition
dc.subjectlearning
dc.subjectneural networks
dc.subjectcomputers
dc.subjectartificial intelligence
dc.titleNutritional evaluation of Brachiaria brizantha cv. marandu using convolutional neural networkspt_BR
dc.typeArtigo de periódicopt_BR
dspace.entity.typePublication
ipen.autorDELVONEI ALVES DE ANDRADE
ipen.autorMARIO OLIMPIO DE MENEZES
ipen.autorROBERTO NAVARRO DE MESQUITA
ipen.autorBRUNO ROVER DAL PRÁ
ipen.codigoautor1258
ipen.codigoautor699
ipen.codigoautor1375
ipen.codigoautor14470
ipen.contributor.ipenauthorDELVONEI ALVES DE ANDRADE
ipen.contributor.ipenauthorMARIO OLIMPIO DE MENEZES
ipen.contributor.ipenauthorROBERTO NAVARRO DE MESQUITA
ipen.contributor.ipenauthorBRUNO ROVER DAL PRÁ
ipen.date.recebimento21-02
ipen.identifier.fiSem F.I.pt_BR
ipen.identifier.fiCiteScore0.8
ipen.identifier.ipendoc27565pt_BR
ipen.identifier.iwosWoSpt_BR
ipen.type.genreArtigo
relation.isAuthorOfPublication0eeb4436-68e5-4573-a603-35f5fc912178
relation.isAuthorOfPublication447febbf-b8c8-40fa-ac57-283881bad56e
relation.isAuthorOfPublication1975aa9b-be26-4f48-8196-96eeb4c2c0c3
relation.isAuthorOfPublication1d51d5b9-8e24-4dc3-bd10-41fdf7a05630
relation.isAuthorOfPublication.latestForDiscovery1d51d5b9-8e24-4dc3-bd10-41fdf7a05630
sigepi.autor.atividadeANDRADE, DELVONEI A. de:1258:420:Npt_BR
sigepi.autor.atividadeMENEZES, MARIO O. de:699:310:Npt_BR
sigepi.autor.atividadeMESQUITA, ROBERTO N. de:1375:420:Npt_BR
sigepi.autor.atividadeDAL PRÁ, BRUNO R.:14470:420:Spt_BR
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