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Toward Sustainability: Trade-Off Between Data Quality and Quantity in Crop Pest Recognition
The crop pest recognition based on the convolutional neural networks is meaningful and important for the development of intelligent plant protection. However, the current main implementation method is deep learning, which relies heavily on large amounts of data. As known, current big data-driven dee...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8739801/ https://www.ncbi.nlm.nih.gov/pubmed/35003196 http://dx.doi.org/10.3389/fpls.2021.811241 |