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Registro Completo |
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Biblioteca(s): |
Embrapa Agricultura Digital. |
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Data corrente: |
20/01/2020 |
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Data da última atualização: |
09/11/2020 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
YANO, I. H. |
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Afiliação: |
INACIO HENRIQUE YANO, CNPTIA. |
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Título: |
Prototype of non-genetically modified soybean tracking system using blockchain technology. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Advances in Agriculture, Horticulture and Entomology, v. 02, p. 1-7, 2019. |
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Idioma: |
Inglês |
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Conteúdo: |
Genetically Modified Organisms (GMO) soybean is a soybean whose genetic material has been modified using genetic engineering techniques. GMO defenders say that this technology reduces the cost of food and helps producers deal with pests and diseases more safely. On the opposite consumers and environmental groups argue that transgenic crops drive higher use of pesticides. Because of this, there is a specific market for non-GMO crops. Some companies that export to Asia and Europe markets pay a premium for non-GMO soybean. But this non-GMO soybean must have a certificate indicating their purity, i.e., which there is not a mix with GMO soybean. The aim of this work is the development of a prototype of a system to track non-GMO soybean to guarantee its purity. The prototype developed in this work used blockchain technology. The choice for blockchain was because it is very secure against tampering, and, also is a distributed system proper for applications like this, which will track the non-GMO soybean from cultivation to product delivery. |
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Palavras-Chave: |
Ethereum; Non-GMO; Organismos geneticamente modificados; Smart contract; Tecnologia blockchain. |
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Thesagro: |
Soja. |
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Thesaurus Nal: |
Genetically modified organisms; Soybeans. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/209118/1/AP-Prototype-Non-Genetically-Modified.pdf
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Marc: |
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008 2019 bl uuuu u00u1 u #d
100 1 $aYANO, I. H.
245 $aPrototype of non-genetically modified soybean tracking system using blockchain technology.$h[electronic resource]
260 $c2019
520 $aGenetically Modified Organisms (GMO) soybean is a soybean whose genetic material has been modified using genetic engineering techniques. GMO defenders say that this technology reduces the cost of food and helps producers deal with pests and diseases more safely. On the opposite consumers and environmental groups argue that transgenic crops drive higher use of pesticides. Because of this, there is a specific market for non-GMO crops. Some companies that export to Asia and Europe markets pay a premium for non-GMO soybean. But this non-GMO soybean must have a certificate indicating their purity, i.e., which there is not a mix with GMO soybean. The aim of this work is the development of a prototype of a system to track non-GMO soybean to guarantee its purity. The prototype developed in this work used blockchain technology. The choice for blockchain was because it is very secure against tampering, and, also is a distributed system proper for applications like this, which will track the non-GMO soybean from cultivation to product delivery.
650 $aGenetically modified organisms
650 $aSoybeans
650 $aSoja
653 $aEthereum
653 $aNon-GMO
653 $aOrganismos geneticamente modificados
653 $aSmart contract
653 $aTecnologia blockchain
773 $tAdvances in Agriculture, Horticulture and Entomology$gv. 02, p. 1-7, 2019.
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Registro original: |
Embrapa Agricultura Digital (CNPTIA) |
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| Registros recuperados : 54 | |
| 17. |  | MAZONI, I.; BORRO, L. C.; JARDINE, J. G.; YANO, I. H.; SALIM, J. A.; NESHICH, G. Study of specific nanoenvironments containing [alfa]-helices in all-[alfa] and ([alfa]+[beta])+([alfa]/[beta]) proteins. Plos One, v. 13, n. 7, p. 1-25, 2018. Artigo e0200018.| Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 1 |
| Biblioteca(s): Embrapa Agricultura Digital; Embrapa Territorial. |
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| 20. | | CAMARGO NETO, J.; TERNES, S.; SOUZA, K. X. S. de; YANO, I. H.; QUEIROS, L. R. Uso de redes neurais convolucionais para detecção de laranjas no campo. In: CONGRESSO BRASILEIRO DE AGROINFORMÁTICA, 12., 2019, Indaiatuba. Anais... Ponta Grossa: SBIAGRO, 2019. p. 312-321. Organizadores: Maria Fernanda Moura, Jayme Garcia Arnal Barbedo, Alaine Margarete Guimarães, Valter Castelhano de Oliveira. SBIAgro 2019.| Tipo: Artigo em Anais de Congresso |
| Biblioteca(s): Embrapa Agricultura Digital. |
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| Registros recuperados : 54 | |
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