Deep learning for soybean monitoring and management.
This review characterizes the current state of the art of deep learning applied to soybean crops, detailing the main advancements achieved so far and, more importantly, providing an in-depth analysis of the main challenges and research gaps that still remain.
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| Format: | Artigo de periódico biblioteca |
| Langue: | Ingles English |
| Publié: |
2024-01-24
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| Sujets: | Aprendizado profundo, Imagem digital, Inteligência artificial, Culturas de soja, Deep learning, Glycine Max, Digital images, Crops, Artificial intelligence, |
| Accès en ligne: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1161254 https://doi.org/10.3390/ seeds2030026 |
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dig-alice-doc-11612542024-01-24T14:33:49Z Deep learning for soybean monitoring and management. BARBEDO, J. G. A. JAYME GARCIA ARNAL BARBEDO, CNPTIA. Aprendizado profundo Imagem digital Inteligência artificial Culturas de soja Deep learning Glycine Max Digital images Crops Artificial intelligence This review characterizes the current state of the art of deep learning applied to soybean crops, detailing the main advancements achieved so far and, more importantly, providing an in-depth analysis of the main challenges and research gaps that still remain. 2024-01-24T14:33:49Z 2024-01-24T14:33:49Z 2024-01-24 2023 Artigo de periódico Seeds, v. 2, n. 3, p. 340–356, Sept. 2023. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1161254 https://doi.org/10.3390/ seeds2030026 Ingles en openAccess |
| institution |
EMBRAPA |
| collection |
DSpace |
| country |
Brasil |
| countrycode |
BR |
| component |
Bibliográfico |
| access |
En linea |
| databasecode |
dig-alice |
| tag |
biblioteca |
| region |
America del Sur |
| libraryname |
Sistema de bibliotecas de EMBRAPA |
| language |
Ingles English |
| topic |
Aprendizado profundo Imagem digital Inteligência artificial Culturas de soja Deep learning Glycine Max Digital images Crops Artificial intelligence Aprendizado profundo Imagem digital Inteligência artificial Culturas de soja Deep learning Glycine Max Digital images Crops Artificial intelligence |
| spellingShingle |
Aprendizado profundo Imagem digital Inteligência artificial Culturas de soja Deep learning Glycine Max Digital images Crops Artificial intelligence Aprendizado profundo Imagem digital Inteligência artificial Culturas de soja Deep learning Glycine Max Digital images Crops Artificial intelligence BARBEDO, J. G. A. Deep learning for soybean monitoring and management. |
| description |
This review characterizes the current state of the art of deep learning applied to soybean crops, detailing the main advancements achieved so far and, more importantly, providing an in-depth analysis of the main challenges and research gaps that still remain. |
| author2 |
JAYME GARCIA ARNAL BARBEDO, CNPTIA. |
| author_facet |
JAYME GARCIA ARNAL BARBEDO, CNPTIA. BARBEDO, J. G. A. |
| format |
Artigo de periódico |
| topic_facet |
Aprendizado profundo Imagem digital Inteligência artificial Culturas de soja Deep learning Glycine Max Digital images Crops Artificial intelligence |
| author |
BARBEDO, J. G. A. |
| author_sort |
BARBEDO, J. G. A. |
| title |
Deep learning for soybean monitoring and management. |
| title_short |
Deep learning for soybean monitoring and management. |
| title_full |
Deep learning for soybean monitoring and management. |
| title_fullStr |
Deep learning for soybean monitoring and management. |
| title_full_unstemmed |
Deep learning for soybean monitoring and management. |
| title_sort |
deep learning for soybean monitoring and management. |
| publishDate |
2024-01-24 |
| url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1161254 https://doi.org/10.3390/ seeds2030026 |
| work_keys_str_mv |
AT barbedojga deeplearningforsoybeanmonitoringandmanagement |
| _version_ |
1792482805218803712 |