Please use this identifier to cite or link to this item:
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1121648
Full metadata record
DC Field | Value | Language |
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dc.contributor.author | OSCO, L. P. | |
dc.contributor.author | RAMOS, A. P. M. | |
dc.contributor.author | PINHEIRO, M. M. F. | |
dc.contributor.author | MORIYA, E. A. S. | |
dc.contributor.author | IMAI, N. N. | |
dc.contributor.author | ESTRABIS, N. | |
dc.contributor.author | IANCZYK, F. | |
dc.contributor.author | ARAÚJO, F. F. | |
dc.contributor.author | LIESENBERG, V. | |
dc.contributor.author | JORGE, L. A. de C. | |
dc.contributor.author | LI, J. | |
dc.contributor.author | MA, L. | |
dc.contributor.author | GONÇALVES, W. N. | |
dc.contributor.author | MARCATO JUNIOR, J. | |
dc.contributor.author | CRESTE, J. E. | |
dc.date.accessioned | 2022-04-08T11:02:20Z | - |
dc.date.available | 2022-04-08T11:02:20Z | - |
dc.date.created | 2020-04-14 | |
dc.date.issued | 2020 | |
dc.identifier.citation | Remote Sensing, n. 12, v. 6, a. 906, 2020. | |
dc.identifier.uri | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1121648 | - |
dc.language | Ingles | |
dc.language.iso | en | |
dc.rights | openAccess | |
dc.subject | Proximal sensor | |
dc.subject | Macronutrient | |
dc.subject | Micronutrient | |
dc.title | A machine learning framework to predict nutrient content in valencia-orange leaf hyperspectral measurements. | |
dc.type | Artigo de periódico | |
dc.format.extent2 | 1 - 21 | |
riaa.ainfo.id | 1121648 | |
riaa.ainfo.lastupdate | 2022-04-07 | |
dc.identifier.doi | 10.3390/rs12060906 | |
dc.contributor.institution | LUCIO ANDRE DE CASTRO JORGE, CNPDIA. | |
Appears in Collections: | Artigo em periódico indexado (CNPDIA)![]() ![]() |
Files in This Item:
File | Description | Size | Format | |
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P-A-Machine-Learning-Framework-to-Predict-Nutrient-....pdf | 4,7 MB | Adobe PDF | ![]() View/Open |