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Use of classifier to determine coffee harvest time by detachment force
Use of classifier to determine coffee harvest time by detachment force
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Use of classifier to determine coffee harvest time by detachment force

Revista brasileira de engenharia agrícola e ambiental, 2018-05, Vol.22 (5), p.366-370 [Peer Reviewed Journal]

This work is licensed under a Creative Commons Attribution 4.0 International License. ;ISSN: 1415-4366 ;ISSN: 1807-1929 ;EISSN: 1807-1929 ;DOI: 10.1590/1807-1929/agriambi.v22n5p366-370

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2
Land use/cover classification in the Brazilian Amazon using satellite images
Land use/cover classification in the Brazilian Amazon using satellite images
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Land use/cover classification in the Brazilian Amazon using satellite images

Pesquisa agropecuaria brasileira, 2012-09, Vol.47 (9), p.1185-1208 [Peer Reviewed Journal]

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. ;ISSN: 0100-204X ;ISSN: 1678-3921 ;EISSN: 1678-3921 ;DOI: 10.1590/S0100-204X2012000900004 ;PMID: 24353353

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3
Classification of wheat kernels infected with fungi of the genus Fusarium using discriminative classifiers and neural networks
Classification of wheat kernels infected with fungi of the genus Fusarium using discriminative classifiers and neural networks
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Classification of wheat kernels infected with fungi of the genus Fusarium using discriminative classifiers and neural networks

Chilean journal of agricultural research, 2019-01, Vol.79 (1), p.48-55

COPYRIGHT 2019 Instituto de Investigaciones Agropecuarias ;2019. This work is published under https://creativecommons.org/licenses/by-sa/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. ;ISSN: 0718-5839 ;ISSN: 0718-5820 ;EISSN: 0718-5839 ;DOI: 10.4067/S0718-58392019000100048

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4
Methods of performance evaluation for the supervised classification of satellite imagery in determining land cover classes
Methods of performance evaluation for the supervised classification of satellite imagery in determining land cover classes
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Methods of performance evaluation for the supervised classification of satellite imagery in determining land cover classes

Ciencia e investigación agraria, 2013-05, Vol.40 (2), p.419-428 [Peer Reviewed Journal]

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. ;LICENCIA DE USO: Los documentos a texto completo incluidos en Dialnet son de acceso libre y propiedad de sus autores y/o editores. Por tanto, cualquier acto de reproducción, distribución, comunicación pública y/o transformación total o parcial requiere el consentimiento expreso y escrito de aquéllos. Cualquier enlace al texto completo de estos documentos deberá hacerse a través de la URL oficial de éstos en Dialnet. Más información: https://dialnet.unirioja.es/info/derechosOAI | INTELLECTUAL PROPERTY RIGHTS STATEMENT: Full text documents hosted by Dialnet are protected by copyright and/or related rights. This digital object is accessible without charge, but its use is subject to the licensing conditions set by its authors or editors. Unless expressly stated otherwise in the licensing conditions, you are free to linking, browsing, printing and making a copy for your own personal purposes. All other acts of reproduction and communication to the public are subject to the licensing conditions expressed by editors and authors and require consent from them. Any link to this document should be made using its official URL in Dialnet. More info: https://dialnet.unirioja.es/info/derechosOAI ;ISSN: 0718-1620 ;EISSN: 0718-1620 ;DOI: 10.4067/S0718-16202013000200016

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5
Towards Detecting Crop Diseases and Pest by Supervised Learning
Towards Detecting Crop Diseases and Pest by Supervised Learning
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Towards Detecting Crop Diseases and Pest by Supervised Learning

Ingeniería y universidad, 2015-01, Vol.19 (1), p.207-228 [Peer Reviewed Journal]

2015. This work is licensed under (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;This work is licensed under a Creative Commons Attribution 4.0 International License. ;LICENCIA DE USO: Los documentos a texto completo incluidos en Dialnet son de acceso libre y propiedad de sus autores y/o editores. Por tanto, cualquier acto de reproducción, distribución, comunicación pública y/o transformación total o parcial requiere el consentimiento expreso y escrito de aquéllos. Cualquier enlace al texto completo de estos documentos deberá hacerse a través de la URL oficial de éstos en Dialnet. Más información: https://dialnet.unirioja.es/info/derechosOAI | INTELLECTUAL PROPERTY RIGHTS STATEMENT: Full text documents hosted by Dialnet are protected by copyright and/or related rights. This digital object is accessible without charge, but its use is subject to the licensing conditions set by its authors or editors. Unless expressly stated otherwise in the licensing conditions, you are free to linking, browsing, printing and making a copy for your own personal purposes. All other acts of reproduction and communication to the public are subject to the licensing conditions expressed by editors and authors and require consent from them. Any link to this document should be made using its official URL in Dialnet. More info: https://dialnet.unirioja.es/info/derechosOAI ;ISSN: 0123-2126 ;EISSN: 2011-2769 ;DOI: 10.11144/Javeriana.iyu19-1.tdcd

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  1. Peer-reviewed Journals (4)
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